18 jobs found in Basel

PURPOSE OF POSITION Viking Cruises is one of the world’s leading cruise line company that manages a fleet of 72 river ships and 6 ocean ships (and growing) with offices across the globe. We have our Marketing and Sales headquarters based in Los Angeles, USA and the Operational Head Quarters based out of Basel, Switzerland. The Business Solution team (within IT) plays an integral role in the strategy, architecture, design/acquisition, implementation and management of various business applications and software solutions to enable planning, efficient operation, automation and reporting needs of the company. As a key member of the Business Solutions and IT Team, the Data Solutions Manager will provide solutions to our current data challenges and holds a key role in our technology modernization programs. S/He works on data technology and related innovation projects with a global reach and has a hands-on approach to understanding various data integration methods while paving the way for standards across the enterprise. The Data Solutions Manager reports to the Director Business Solutions. Starting date would be as soon as possible. This role will be located in Basel, Switzerland. Please note that we can only accept candidates who are eligible to work in Switzerland or are in possession of a relevant work permit. RESPONSIBILITIES Provides guidance, leadership and expertise to define the ‘data’ solution architecture and strategies across various departments throughout the enterprise. Leads and manage internal and external (3rd party developer) teams to execute multiple projects related to integration between systems, data warehouse, data governance and dashboard/report development. Develop architectural standards, workflows and interface specification documents that complement the architectural vision well enforcing best practices. Design and create the physical data model for the data warehouse by analyzing the data from all source system applications and/or from external sources. Ensuring reliable, accurate, and accessible data for responsible data entry areas Ensure existing data/information assets are identified, stewarded and leveraged across the enterprise Collaborate with the rest of the Business Solution team on relevant data tasks that are part of projects – related to ERP system, Office 365, SharePoint Online, etc. Educate team members and business partners on area of technical expertise Enable and empower business users and sponsors to access and consume data easily for maximum business benefit Optimizes the information technology solutions to the enterprise-wide system requirements of Viking Cruises QUALIFICATION PROFILE Bachelor’s degree or higher in Computer Science, information technology or a related field MCSD, MCSE Data Management and Analytics or similar certifications would be a plus. Certifications on Data Science or Big Data is also a plus Project Management Certification (PMP or PRINCE2) is a plus, but not required 3 - 4 years in a similar role Experience with Enterprise Data Architectures and building/managing data assets Experience with data integration, having done multiple ETL between systems. Data virtualization or replication experience is not required, but a plus Solid background in data management including big data technologies and data warehouse solutions Experience across all phases of data modeling, from conceptualization to database optimization and governance Experience working in a complex environment with multiple source systems feeding a data warehouse Experience in using some (if not all) of the Data Management tools like Microsoft SSMS to SSIS, SSDT/SSAS, SSRS, PowerBI and SQL are a must. Experience in use of any Big Data tools is a plus Experience in leveraging any of the Artificial Intelligence / Machine Learning tools to improve the data assets of a company is a plus Ability to provide direction, strategy and value by analyzing current and future states of data, setting and communicating standards, and conception of projects or features to close the gap between current state and future goals Great experience in business analysis - Ability to learn and understand complex processes, systems and data structures Ability to understand business requirements and manage priorities - Skills in creating well defined tasks from business requirements, having in mind its priority and complexity, as well as the impact on current system Fully engaged in the project, being responsible for managing requirements and its priorities, but also responsive for questions from development team Knowledge of dimensional modeling, data warehousing, data governance and Big Data concepts Build relationships with business stakeholders and partners to understand information needs Ability to work on multiple initiatives and work streams at one time in a global environment Quick learner with ability to pick up new technologies/skills and business knowledge Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast–paced situations Define enterprise information strategy and roadmap that aligns with corporate goals Deliver complex software systems through all phases of a software delivery lifecycle Ability to work on multiple projects running concurrently by leveraging scalable external teams Ability to capture, organize and analyze Big Data Passionate about DATA, DATA and DATA – which includes gathering, architecting, organizing, governing and visualizing data into meaningful information Ability to provide technology direction and setting standards for data platforms, involving all aspects of information access and retrieval, integration, middleware translators, utilities, tools, and languages for use by information technology groups. Ability to communicate the benefits and advocate the use of enterprise wide data architecture and standard platforms, products and tools to senior management, business area staff and technical staff Excellent analytical and problem solving skills with great interpersonal dispositions and communication skills Willing to work with various business team(s) and are comfortable, patient with varied stakeholder groups Excited about working in the cruise industry WHAT WE OFFER Flexible working hours On-site employee restaurant (including complementary soft drinks, coffee, tea) Regular company events, e.g. sports games, barbecue, cooking classes A dynamic and fast-growing environment where you can drive your future A free cruise for you and your +1 every two years A highly talented, passionate and international team If you are interested in this role, please apply via our website, including a cover letter (one page, introducing yourself and outlining why you are interested in the role) as well as your CV and relevant references.

We are looking for a qualified Java Software Developer to build and maintain new functionality on top of our successful Genedata Screener software. Thousands of scientists across the globe work with Genedata Screener in order to develop new, groundbreaking treatments for a multitude of diseases. They rely on our solutions to capture and analyze scientific data; to link this data to all their in-house knowledge; and to make the results available to the entire organization. The software is ready to operate in a wide range of research environments and serves multiple scientific applications out of the box. However, enabling interconnection with specific customer IT platforms, integrating new scientific instrumentation, or implementing cutting-edge research methods at times requires additional development. This is where you come in. We need you to develop and deliver this additional functionality, enabling the scientist to extract more value from their experimental data. You will work in close contact with our scientific consulting and sales teams to understand the needs of the customer and formulate appropriate software development projects. Once your proposed solution has been approved internally and by the customer, you will be responsible for implementing and testing the functionality using our APIs as a foundation. Where appropriate, you will also install and maintain the functionality, as well as ensure the continuous operation of the entire system. To succeed in this position, you should enjoy using your Java skills to build new solutions, thrive as an essential part of the team defining these solutions, excel at prioritization and self-organization, and be curious about how scientific data is generated, analyzed, and used to make decisions. This full-time position is based at our headquarter in Basel, Switzerland. Key Responsibilities Develop new software functionalities for our customers on top of our existing APIs Assist our scientific consulting and sales team in the technical specification of customer requirements Support our customers in technical matters related to the installation and operation of the Genedata Screener Provide customer-facing technical trainings both remotely and on-site Your Profile Minimum B.S. degree in a computer-, life-science, or engineering field Proficiency programming in Java (proficiency in Python is a plus) Demonstrated ability to master new technical skills and digest new information quickly Demonstrated ability to work with legacy code and version-control systems (e.g. Git) Good written and verbal communication skills in English Driven to collaborate in a cross-functional environment Ability to work in an agile development process Proficiency working in a Linux/UNIX environment, including bash scripting Ability to analyze complex technical environments, summarize status-quo, and perform gap analysis with resolution proposals Experience in remote execution of installation, support, and verification Knowledge of SQL and relational databases such as Oracle is a plus Cloud operating environment knowledge is a plus Knowledge within the biopharma R&D research industry is a plus The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. About Genedata Screener® Genedata Screener® analyzes, visualizes, and manages screening data from in-vitro screening assay technologies across the enterprise, including very complex as well as ultra-high throughput experiments. Its screening-oriented business logic enables rapid processing and comprehensive analysis of complete campaigns. Are You Interested? If you are interested in this position, please submit us your CV and motivation letter. Genedata is an Equal Opportunity Employer. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond

We’re looking to hire a Junior Scientific Sales Associate for a full-time position. The position is based in our headquarter office in Basel, Switzerland, and requires about 30% travel within Europe, and occasional travel to North America. The role entirely revolves around expanding the customer base of our enterprise screening software, Genedata Screener. The software is used by organizations ranging from academic institutions and CROs to global biopharma corporations to analyze results from drug discovery campaigns. Your job will be to understand the data analysis needs of biopharmaceutical scientists, investigate the latest trends in the drug discovery process, and identify new business opportunities. Whilst growing the business you will coordinate with management to ensure the follow-up of qualified leads and prepare attractive and appropriate offers, with marketing to keep our messaging scientifically relevant and consistent and to plan conference and event participation, and with product management to keep up to date on upcoming software functionality. What we need from you is a solid scientific background, a special interest in scientific software, a communicative and open approach to teamwork, curiosity, a commercial mindset and a willingness to take initiative. What we offer is a stimulating work environment where high-quality scientific software is produced and sold by a group of people who will greatly appreciate your input, experience, and enthusiasm. Key Responsibilities Talk to biopharmaceutical research scientists to understand their data analysis needs and raise awareness of Genedata Screener Identify industry trends where improved data analysis leads to biopharmaceutical innovation and increased productivity Collect information on research data analysis practices at biopharmaceutical companies and identify potential leads Support our sales team in winning new customers Required Skills and Experience MSc or PhD Degree in Life Sciences Familiarity with antibody drug discovery processes Experience with scientific data analysis software Commercial mindset Willingness to take initiative, excellent planning, organization and time management skills Excellent knowledge of English Willingness to travel The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. About Genedata Screener® Genedata Screener® analyzes, visualizes, and manages screening data from in-vitro screening assay technologies across the enterprise, including very complex as well as ultra-high throughput experiments. Its screening-oriented business logic enables rapid processing and comprehensive analysis of complete campaigns. Are You Interested? If you are interested in this position, please submit us your CV and motivation letter. Genedata is an Equal Opportunity Employer. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.

The Position Genedata is seeking a Scientific Consultant / Field Application Scientist to fill an opening in our growing Genedata Profiler (Precision Medicine) team. Precision medicine requires scientists to characterize the genomic profile of patients to better understand patients’ response to new therapies, to efficiently stratify patients for clinical trials or to identify novel biomarkers for patient monitoring. Genedata Profiler, a highly innovative tool in the era of precision medicine, provides a comprehensive, enterprise solution for the processing, management, integration, and analysis of massive amounts of clinical, phenotype, and multi-omic data. The Scientific Consultant is a scientific and technical consultant for our customers. It is a highly dynamic job: you will wear many different hats, interact with many different people such as clinicians, bioinformaticians, and software developers, and use your scientific and technical knowledge to solve real-world scientific problems in precision medicine. This position is especially well-suited for you if you have a scientific/technical background, enjoy variety in your daily work, and want to expand your skill set (scientific, technical, and soft skills). This full-time position is based in Basel, Switzerland and requires regular travel within Europe. Key Responsibilities First and foremost, you will act as an expert in scientific and IT matters related to translational and clinical data analysis in general and the use of our Genedata Profiler software in particular. You will combine this expertise with excellent communication skills and project management know-how to (a) be a vital part of the sales team, (b) propose, plan, execute and manage projects, and (c) support our customers in getting the most out of Genedata Profiler. (a) You will work in tandem with our Business Development Managers in establishing and communicating the value of Genedata Profiler to prospects and customers. Tasks include qualifying customer needs, giving presentations and demos, and managing software evaluation projects. (b) In addition, you will act as scientific consultant for data science projects. For example, you will help our customers with exploratory clinical trial design, identify biomarkers for response or adverse events, conduct mechanistic interpretation of results from mode-of-action studies, and devise stratification strategies based on the results obtained. You will ensure results delivery at the level of excellence that our customers know us for. This involves proper project set up and planning to achieve the customer’s goals; specifying and coordinating and executing the implementation work; guaranteeing adherence to scope, budget and timelines; managing change in the project; controlling the quality of all deliverables; providing customer feedback to product management; and supporting the Profiler team to keep improving our processes. (c) You will establish relationships based on trust with our customers by being their first point of contact and a sparring partner on scientific and technical matters, including user trainings and product support. We want our customers to have excellent translational and clinical data analysis processes, and you will be responsible to help enable this. Further, you will channel the insights gathered through your customer interactions back to our Development and Product Management team, help them to define end-to-end user stories and workflows matching their requirements, thereby assuring that Profiler is developed to maximize value for our customers. In addition to the core responsibilities listed above, we want you to help all of us in the Profiler team to improve, and we count on your knowledge, creativity, and technical skills to further advance our science, marketing, development, and product management. Your Profile Essential Skills and Experience: Excellent communication skills: you will be exposed to a range of different people, so you should feel comfortable interacting with customers at all levels (managers, scientists, and IT experts) and be prepared to constantly communicate internally. Solid scientific background (PhD level preferred) in statistical genetics, bioinformatics, biostatistics, computational biology, machine learning, data science or related field. 3+ years of working experience in translational / clinical research would be a definitive advantage, in particular experience with exploratory clinical trial data, biomarker research, patient stratification & companion diagnostics approaches, ideally at a contract research organization, in a clinic or a pharmaceutical company. If you do not have experience in any of these companies, we look forward to receiving your application if you possess the skills listed below, are a fast learner and wish to quickly delve into the scientific and technical challenges of cutting-edge technologies in the context of Pharmaceutical R&D. Additional Preferred Skills and Experience: Scientific experience and technical skills: Expertise in human genetics or molecular epidemiology, with a strong grasp of genomic approaches, technologies, and analytics to inform clinical trial design and enrichment, e.g. GWAS/RVAS/PheWAS. Profound understanding of biostatistics is essential; experience with methods of causal interference would be desirable. Solid background in oncology and/or immunology would be a plus. Expert knowledge of statistical programming in R is required, as well as working experience with SAS and scripting languages (Python or similar). Project management experience: delivering on time; planning resources and milestones; coordinating teams within and across organizations. Excellent presentation skills. Industry knowledge: You will work with a range of omics technologies and application areas (please see our website for currently supported technologies), so deeper knowledge within a few or broader knowledge across several of them would be desirable. Our customers are mainly pharmaceutical research organizations, thus your experience with pharmaceutical research and the drug discovery process would be valuable to us. The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. About Genedata Profiler Developed in collaboration with leading pharmaceutical companies, Genedata Profiler provides a comprehensive, scalable and interoperable computational platform that addresses the major challenges associated with omics-based precision medicine. The innovative software platform combines high-performance raw omics data processing pipelines, sophisticated data analyses and unparalleled data visualizations with an advanced distributed data management infrastructure. Genedata Profiler accelerates the genomic profiling of patients, at scale and according to the highest data privacy and regulatory standards. Are you interested? If you are interested in this position, please submit your CV and motivation letter. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond. Genedata is an Equal Opportunity Employer

BeiGene Careers Senior Manager, Drug Safety Operations - Global Drug Safety   based in Basel, Switzerland Reports To: Regional Head for Pharmacovigilance, EU Supervision/Mentorship: Global Head of Drug Safety Operations (US-based) ***********NO AGENCY HELP REQUIRED************ Company Overview: BeiGene, Ltd. (NASDAQ: BGNE; HKEX: 06160) is a global, commercial-stage, research-based biotechnology company focused on molecularly targeted and immuno-oncology cancer therapeutics. With a team of over 2,700 global employees in China, the United States (Cambridge, MA; Ridgefield Park, NJ; Emeryville, CA & San Mateo, CA), Switzerland and Australia, BeiGene is advancing a pipeline consisting of novel oral small molecules and monoclonal antibodies for the treatment of cancer. BeiGene is working to create combination solutions aimed at having both a meaningful and lasting impact on cancer patients. For more information, please visit www.beigene.com. General Description: Member of global Safety Operations Management team with responsibilities for oversight & tracking of clinical trial SAEs processed by global safety CRO responsible for global SAE case processing and global submissions. Would also contribute to preparing the PV Leadership team for post-marketing phase in Europe, and also a key liaison for business partners and/or call center vendors based in Europe. Essential Functions of the job: Weekly and ad hoc meetings with the global BeiGene PV management team and safety CRO Review feedback and performance metrics relating to the safety CRO for proactive identification and management of potential safety issues Collaborate with PV Training & Compliance team, safety CRO and also clinical study CROs, as applicable, in the investigation of reasons for any late safety report(s) and assist in the finalization of corrective action & preventive action (CAPA) plans in a timely manner Ensures ongoing tracking of cases processed and/or submitted by safety CRO in order to ensure CRO is meeting specific drug safety data and quality targets for case handling and/or global submissions. Ensures safety CRO is compliant with all global reporting requirements to business partners, ethics committees and global regulatory authorities. Serves as the lead Drug Safety representative for various cross-functional clinical study teams, with a particular focus on studies managed by European Clinical Operations & or Medical Affairs team Participates in training investigators on SAE reporting obligations at European study kick off meetings Assists Drug Safety Operations leadership team with establishment and ongoing review of Key Performance Indicators (KPIs) for the safety CRO and applicable European business partners and/or vendors Participates in the review and approval of program-specific Safety Management Plans Oversees individual team activities as it relates to global SAE case management and global submissions activities. Collaborates closely with Drug Safety Operations Leadership team, EU QPPV, & Medical Safety team to develop global Drug Safety SOPs Responsible for timeline management and ensuring global submission of aggregate safety reports and line listings such as DSURs and other aggregate safety reports (e.g.; PSURs/PBRERs) as required Oversees SAE reconciliation activities on a regular basis, and ensures that safety CRO is processing and reconciling SAEs across BeiGene European-based clinical trials as per study timelines and per contract Manages communication and timelines with applicable partner companies, collaborative sponsors and respective CROs regarding the intake, case processing, medical review and global submission of ICSRs as well as global safety aggregate reports (expedited reports, DSURs, CIOMS II line listings) Liaises with regional head of EU Pharmacovigilance, various internal and external groups (e.g.; Clinical Operations, Data Management, Regulatory, QA) to maintain a high level of quality and consistency across functional teams on best practices and industry standards. Maintains currency with evolving international guidance and regulations for global safety reporting, safety surveillance and risk management in both a clinical and post-marketed setting (with a particular focus on EU Clinical Trial requirements for PV, as well as EU GVP Modules) May provide back up support for other Drug Safety Operations Managers as well as Head of Drug Safety Operations Actively participates and supports in PV global inspection readiness activities or regulatory inspection requests or interviews as needed Able to adjust to multiple demands and shifting priorities and react constructively in a high-energy, fast paced environment Excellent interpersonal and communication skills, both written and oral Excellent computer skills in Microsoft environment (Microsoft Excel, Power Point, SharePoint and Word). Strong experience with electronic data capture (EDC) and knowledge of clinical trial data management principles Argus Safety database and data entry and global submissions expertise required Understands safety database structures and is familiar with data retrieval tools, and coding dictionaries such as MedDRA, WHODrug). Experience developing and revising Drug Safety/PV SOPs Understanding of medical terminology and the ability to summarize medical information required Knowledge and Skill Requirements Demonstrates initiative, teamwork and accountability A demonstrated ability to manage own workload, prioritize, plan and organize assignments and work under strict timelines is required. Self-motivated and capable of working independently The ability to provide direction to a team, and to influence peers and team members Ability to attend and effectively represent Drug Safety Operations on multidisciplinary teams and across global teams with membership in Europe, US, Asia/Pacific regions; ability to evaluate and analyze procedural gaps An excellent global pharmacovigilance knowledge base. Excellent project management skills with the ability to align internal and external resources Competencies: Ethics   – Treats people with respect; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values. Planning/Organizing   – Prioritizes and plans work activities; Uses time efficiently. Completes administrative tasks correctly and on time. Follows instructions and responds to management direction. Communication   – Listens and gets clarification; Responds well to questions; Speaks clearly and persuasively in positive or negative situations. Writes clearly and informatively. Able to read and interpret written information. Teamwork   – Balances team and individual responsibilities; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Supports everyone’s efforts to succeed. Contributes to building a positive team spirit; Shares expertise with others. Adaptability   – Able to adapt to changes in the work environment. Manages competing demands. Changes approach or method to best fit the situation. Able to deal with frequent change, delays, or unexpected events. Technical Skills   – Assesses own strengths and development areas; Pursues training and opportunities for growth; Strives to continuously build knowledge and skills; Shares expertise with others. Dependability   – Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Quality   – Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. Analytical   – Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data. Problem Solving   – Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully. Project Management   – Communicates changes and progress; Completes projects on time and budget. Supervisory Responsibilities: Will directly supervise staff as they are hired into the organization. Previous people management skills highly preferred. Education Required: BS and/or Nursing/Pharmacy degree and Minimum of 7+ years of relevant experience within the biotech/biopharmaceutical industry with a working knowledge of drug safety and risk management, and an overall understanding of drug development, pharmacology, ICH, FDA, EMA and Asia/Pacific PV requirements Computer Skills : Efficient in Microsoft Word, Excel, and Outlook BeiGene Is an Equal Opportunity Employer BeiGene is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristics protected by law. As a federal contractor, BeiGene has established affirmative action programs to ensure non-discrimination and affirmative action in BeiGene’s policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portions of BeiGene’s affirmative action plans for individuals with disabilities and veterans are available for inspection at our offices during normal business hours. Employees and applicants interested in inspecting these plans should contact our Human Resources department by email at us.hr@beigene.com for assistance. ***********NO AGENCY HELP REQUIRED************

Global Category Leader - Information Systems   -   ( 18012494 ) Description Role purpose As a Global Category Leader you will lead multifunctional / multinational sourcing teams and projects to achieve contracts, orders and agreements that are aligned with agreed sourcing strategies to deliver maximum value business outcomes and agreed targets. You will be working closely with Procurement Business Partners and internal clients. All Information Systems services footprint Categories fit within the leadership of this role. Accountabilities Responsible for leadership and direct line management of a number of FTEs (typically 3-6) and provision of functional and strategic direction, coaching and motivation to a wider matrix team of regional Category Managers and Business Partners covering a portfolio of circa $390mUSD Through detailed, expert spend analytics and understanding of the supply market(s) and internal business requirements, develop and deliver Category strategies aligned to achieving business goals. Strategies will incorporate the most efficient use of the various buying channels Manage compliance with procurement processes regarding e-tendering, Supplier Relationship Management and Contract Management Create and maintain a detailed business focused Category strategy Build strong relationships with, internal clients and the Procurement Business Partner organization, in order to ensure appropriate strategies are developed and deployed Leading major negotiations Identify and share best practices and develop benchmarks that compare internal purchasing performance to industry best practice Develop, maintain and monitor common, efficient, ethical purchasing processes Ownership verification & agreement of actual financial performance of the category, including agreement and verification of savings delivery, budget & forecast data Act as an Ambassador of the Procurement organization Develops, implements and manages SRM and risk programs appropriate to the requirements of the category Directly manage, or ensure management of, all significant contracts Qualifications Experience required Capability in developing sourcing strategies and leading their implementation In depth knowledge of procurement procedures and processes, and solid knowledge of the external trends and best practice Leadership of complex Global sourcing teams and projects Ability to develop meaningful performance measures for categories with stakeholders Deep knowledge of the relevant supply markets Strategy development and implementation Development of strategic relationships with suppliers Contract management skills Ability to influence peers and indirectly managed teams Strong communication and presentation competencies Strong procurement experience in a global senior procurement role Working in a multi-national, multi-cultural environment Project team leadership (geographically dispersed and cross-functional with proven results) Proven record of success in negotiations with suppliers at high levels Minimum education and critical knowledge Relevant degree in IT or Business, commercial qualification e.g. MBA would be an asset In-depth knowledge of internal procurement procedures and processes and solid knowledge of the global IT products and services market and its trends / best practice, Capability in developing sourcing strategies and leading the implementation Leadership of complex global projects Ability to developing performance measures for categories with stakeholders The ability to quickly acquire deep knowledge of the relevant supply markets Knows about and understands deep knowledge of financial management Contracts drafting and legal issues management Primary Location :   CHE-Basel-Basel Job :   Procurement & Sourcing

BeiGene Careers Manager, Safety Systems & Analytics - Global Global Drug Safety   role based in Basel, Switzerland Reports To: Regional Head for Pharmacovigilance, EU Supervision/Mentorship: Global Head of Drug Safety Systems & Analytics (US-based) ***********NO AGENCY HELP REQUIRED************ Company Overview: BeiGene, Ltd. (NASDAQ: BGNE; HKEX: 06160) is a global, commercial-stage, research-based biotechnology company focused on molecularly targeted and immuno-oncology cancer therapeutics. With a team of over 2,200 employees in China, the United States (Cambridge, MA; Ridgefield Park, NJ; Emeryville, CA & San Mateo, CA), Switzerland and Australia, BeiGene is advancing a pipeline consisting of novel oral small molecules and monoclonal antibodies for the treatment of cancer. BeiGene is working to create combination solutions aimed at having both a meaningful and lasting impact on cancer patients. For more information, please visit www.beigene.com. General Description: Provide support for the Argus Safety System and other associated Drug Safety systems and data repositories. Working with the Drug Safety Systems team, this individual will provide technical expertise, support and guidance to the BeiGene PV and Drug Safety Department to facilitate the processing and submission of ICSRs, aggregate safety reports, safety analyses, signal detection, and also respond to time-sensitive requests from internal and external stakeholders such as Drug Safety/PV Scientists, Clinical Science, regulatory authorities and/or business partner ad hoc requests. Responsibilities: Manage Safety hosting vendor for proper function, maintenance and validation of BeiGene safety systems (Argus Safety System and other supporting systems) and adherence to BeiGene policies and applicable global (PV) regulations. Support changes to the systems including configuration changes and system upgrades. Support routine dictionary upgrades. Participate in the development and validation of required aggregate safety reports. Contribute to ad hoc report specification, development, validation and implementation and maintain required validation documents. Support the validation, implementation and maintenance of data transmission gateways with regulatory authorities and partners. Provide timely flow of business intelligence information to users. Provide technical support for existing reports, dashboards, or other tools. Act as a training resource to departmental staff on the use of Argus Safety System. Work as a team member to achieve goals by communicating information and project status; collaborating on problem resolution; demonstrating leadership; commitment and dependability; and providing technical expertise. Act as a departmental resource by researching and consulting with others within or outside of the department to resolve issues within the Argus Safety System. Assist in the development of SOPs for the Argus Safety System. Participate in the selection and implementation of additional Drug Safety informatics systems including signal detection and surveillance tools, safety data warehouse and reporting systems. Assist with internal and external audits of the Argus Safety System. Knowledge, Experience and Skills: A bachelor’s degree in information systems or related field with at least 7 years of IT experience with a minimum of 5 years in direct Drug Safety Systems support or equivalent combination of education, training and experience. Knowledge of Drug Safety Databases required. Oracle Argus Safety System is preferred. Ability to write SQL code (with applicable support). Experience with reporting platforms and data visualization tools (e.g., OBIEE, Cognos, Spotfire) preferred. Knowledge of EU submission and aggregate reporting requirements Proficiency with standard desk-top computing programs (i.e., Microsoft Word, Microsoft Excel, Microsoft Power-Point, and Microsoft Access) is required. Excellent oral and written communication skills. Excellent interpersonal skills. Ability to establish and maintain effective working relationships with coworkers, managers, interdepartmental stakeholders and applicable vendors (CROs). Demonstrates excellent organizational skills, consistent attention to detail, and project management expertise. A demonstrated ability to manage own workload, prioritize, plan and organize assignments and work under strict timelines is required. Competencies: Ethics   - Treats people with respect; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values. Planning/Organizing   - Prioritizes and plans work activities; Uses time efficiently. Completes administrative tasks correctly and on time. Follows instructions and responds to management direction. Communication   - Listens and gets clarification; Responds well to questions; Speaks clearly and persuasively in positive or negative situations. Writes clearly and informatively. Able to read and interpret written information. Teamwork   - Balances team and individual responsibilities; Gives and welcomes feedback; Contributes to building a positive team spirit; Puts success of team above own interests; Supports everyone's efforts to succeed. Contributes to building a positive team spirit; Shares expertise with others. Adaptability   – Able to adapt to changes in the work environment. Manages competing demands. Changes approach or method to best fit the situation. Able to deal with frequent change, delays, or unexpected events. Technical Skills   - Assesses own strengths and development areas; Pursues training and opportunities for growth; Strives to continuously build knowledge and skills; Shares expertise with others. Dependability   - Follows instructions, responds to management direction; Takes responsibility for own actions; Keeps commitments; Commits to long hours of work when necessary to reach goals; Completes tasks on time or notifies appropriate person with an alternate plan. Quality   - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to ensure quality. Analytical   - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data. Problem Solving   - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully. Project Management   - Communicates changes and progress; Completes projects on time and budget. Computer Skills: Efficient in Microsoft Word, Excel, MS Access, MS PowerPoint and Outlook Education Required: A bachelor’s degree in information systems or related field with at least 7 years of IT experience with a minimum of 5 years in direct Drug Safety Systems support or equivalent combination of education, training and experience. BeiGene Is an Equal Opportunity Employer BeiGene is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristics protected by law. As a federal contractor, BeiGene has established affirmative action programs to ensure non-discrimination and affirmative action in BeiGene’s policies and practices for qualified women, minorities, protected veterans, and individuals with disabilities. The narrative portions of BeiGene’s affirmative action plans for individuals with disabilities and veterans are available for inspection at our offices during normal business hours. Employees and applicants interested in inspecting these plans should contact our Human Resources department by email at us.hr@beigene.com for assistance. ***********NO AGENCY HELP REQUIRED************

About Atos Atos is a global leader in digital transformation with over 110,000 employees in 73 countries and annual revenue of over € 11 billion. European number one in Cloud, Cybersecurity and High-Performance Computing, the Group provides end-to-end Orchestrated Hybrid Cloud, Big Data, Business Applications and Digital Workplace solutions. The group is the Worldwide Information Technology Partner for the Olympic & Paralympic Games and operates under the brands Atos, Atos Syntel, and Unify. Atos is a SE (Societas Europaea), listed on the CAC40 Paris stock index. The purpose of Atos is to help design the future of the information technology space. Its expertise and services support the development of knowledge, education as well as multicultural and pluralistic approaches to research that contribute to scientific and technological excellence. Across the world, the group enables its customers, employees and collaborators, and members of societies at large to live, work and develop sustainably and confidently in the information technology space. For our small but growing Analytics & AI team based in Zurich, we are currently looking for a Data Science Consultant with strategic, analytics skills and entrepreneurial mindset (m/f) We are looking for Data Science Consultant, with strategic, analytics skills and entrepreneurial mindset to join our small but growing Analytics & AI Consulting & Engineering team in Zurich and Nyon. You will join a global company with on site, near sourcing and offshore capabilities, as well as a small but growing Swiss Analytics & AI team of Sr consultants, technology specialists and entrepreneurs. Your will be working on challenging projects with international blue-chip clients across diverse industries in Switzerland, on both advanced data analytics and consulting, including meeting with clients and building bespoke solutions to face their challenges. You will be working in teams of 2 to 4 consultants, on 1 to 3 projects simultaneously. You'll be involved in projects from discovery start to final recommendations, responsible for gathering and analyzing data, building statistical models, up to translating quantitative insights into strategic recommendations and delivering the results. It is up to you to push creative and innovative approach and to grow the business taking ownership of your projects. You will be able to present your result to Senior Executives both internally and externally, making a real impact on Client businesses. You will build expertise on several methodologies and industries and develop both your business and technical skills in Data Science/BI/Agile. You will be accompanied in your learning process through Atos training opportunities, our technology partnerships as well as mentoring from colleagues. You will have an opportunity to contribute to our small but growing team of Business Analysts, Data Scientists, BI specialists, Data Engineers, Architects, IoT Specialists, Project/ transformation managers. Our team is highly motivated to help our customers in their digital analytics transition to solve their business problems ans by doing so inventing in the Swiss analytics solutions and AI products of tomorrow. Your responsibilities Actively drive and pursuit business opportunities (proactive business development & RFPs, entrepreneur mindset) in the area of Analytics, Data Science and BI Support analytics practice lead and senior consultants in developing and growing the analytics team Help drive client's workshops during the different stages of data projects (from use case ideation, to prioritization, Proof of concept / Proof of value to industrialization) Help tailor the consulting methodology tools and templates for the specific client Project Management during preparation and execution phases Support clients on analytics projects in understanding business impact and required strategic alignment Help with POC using data science skills / facilitation tools (ex: Knime...) Help execute data maturity and technology assessments, with support of full time Data Scientists Help analyze data security and privacy regulations requirements Gather and combine analytic results from Data Scientists Help create recommendation reports describing the overall value creation of analytical use cases Help prepare and execute client trainings to ensure organizational readiness in data project Key contact person for clients during data projects (with coaching and support from Sr leaders) May play the role of Product owner for some internally developed solutions / partner solutions May coach some interns data scientists / web developers in Atos incubator Your profile Essential Consulting experience (ideally 4-6 years) or equivalent experience with strong interest in working as a consultant to see multiple clients/use cases Strong interest in marketing & business issues (to drive operational performance and enhance workers satisfaction) Eager to learn and contribute Excellent communication skills Ability to work collaboratively in agile team environment Autonomy and dynamism in a challenging environment Continuously striving for high performance Bachelor's or master's degree (or equivalent) in Statistics, Economics, Engineering or a related analytical field. Excellent record of academic achievement. 2-3 years of experience in Data Analysis / Modelling / Advanced Analytics Passion for data, extensive knowledge in statistics or applied mathematics, familiarity with techniques such as data modeling / optimization, and experience in using advanced analytical methodologies to answer business questions. Experience with statistical software such as SPSS, R, Stata, Python, SQL, common data science frameworks. Some level of certification in Data Science with hands on project experience a must Understanding of CRISP-DM methodology Experience in one, ideally two verticals between pharma, manufacturing, telco, insurance, finance, consume packaged goods, retail, health & government Experience working with data scientists & data engineers Can travel to client locations in Switzerland when needed Fluent language skills in English, Business German desirable, French a plus Desirable Knowledge of Design Thinking, Lean, Agile (can help drive/moderate ideation workshops) Experience with at least one Visualization tools (such as Tableau, Power BI, Data Studio, Qlik Here at Atos, we want all of our employees to feel valued, appreciated, and free to be who they are at work. Our employee lifecycle processes are designed to prevent discrimination against our people regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes them unique. Across the globe, we have created a variety of programs to embed our Atos culture of inclusivity, and work hard to ensure that all of our employees have an equal opportunity to contribute and feel that they are exactly where they belong

data42 is Novartis’ transformational program to leverage 2 million patient-years of data in one of the largest and most diverse datasets in the pharma industry, with the ultimate moonshot goal to change the way we develop medicines. At Novartis, we believe that Artificial Intelligence combined with the wealth of our data and internal scientific expertise will transform life sciences. In our Executive Committee-sponsored program, we operate like an internal start-up to get more medicines to more patients faster by (1) making internal and external data machine learnable and (2) applying advanced analytics to derive insights that contribute to (3) increasing our understanding of the disease and medicine thereby (4) enhancing R&D decision-making With data42, we will deliver more value to patients while building a competitive edge for Novartis R&D The Strategic Program Director, data42 will have responsibilities for end to end delivery of enterprise wide big data and analytics platform called as data 42. Lead external engagements and partnerships for advancing the platform and analytics, define program vision and priorities (Annual and long term) and align the strategy with Program Sponsor, Head and ECN Steer CO. Work closely with key stakeholders to align expectations and ensure full support from the organisation. Build strategy for adoption and growth of the platform. Support in building momentum across the organisation. Define key priorities and success metrics for the program in alignment with executive sponsors. Support in achieving KPI’s. Review overall spend, contracts, expenses, resources and suggest required actions for optimum and efficient use of the budget. You will be responsible but not limited to: Program Strategy Build the long term Data42 program strategy taking into account internal and external considerations. Align the strategy with Program Sponsor, Head and ECN Steer CO. Ensure effective implementation of long term strategy by closely working with product teams and LT members Managing key Board Meetings Own and manage key board meetings with ECN and ECN-1 stakeholders Liaise with ECN members and Key stakeholders to gain support for the program and align priorities, direction and vision External Advisory Board Own and manage the external advisory board for data42. Define charter, purpose, cadence, membership and perks. Organize and run the external advisory board. Act as Board secretary. Ensure the meeting is productive, with right attendees. Drive Strategic projects Lead one or more cross-functional strategic programs sponsored by Program Head, Sponsor and ECN and with significant impact on the organization For strategically important projects drive project teams to solve complex problems Creates a structured program framework; able to deal with ambiguity, highly autonomous and able to report on program progression / issues to ECN, DCN, NLT and Program Sponsor Ensures the delivery and implementation on target, within budget and on time Accountable for cross-functional alignment and organizational support of the projects by facilitating internal and external stakeholder management Strategic Advisor to Program Sponsor and Head Advise Program Sponsor and Head on various strategic matters of importance.Take on ad hoc strategic task’s and projects to support Program sponsor vision along with Program Head.. Minimum requirements Bachelors/Master’s degree in scientific/technology discipline from top-tier university with consistent outstanding academic record. Past experience in entrepreneurship is highly desirable. Fluent oral and written English 8+ years of relevant experience in a multidisciplinary environment or in a line function (drug development) 3+ years multi/cross functional leadership experience Preferably solid knowledge of the NIBR &GDD organization, drug development process and operations Strong data and analytics background Why consider Novartis? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks. And where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges. We are Novartis. Join us and help reimagine medicine. Division Global Drug Development Business Unit GDO GDD Country Switzerland Work Location Basel Company/Legal Entity Novartis Pharma AG Functional Area Research & Development Job Type Full Time Employment Type Regular

35 bots live and 100s in the pipeline! As part an innovative multidisciplinary IT team in Novartis, you will part of the integral talent in collaborative innovative and agile teams that experiment, rapidly incubate, and establish to scale digital platforms that deliver value to Novartis in areas like Process Automation, Cognitive Computing (AI, ML), Natural Language Processing, etc. Major accountabilities Accountable to define machine learning solution architecture and engineering of identified automation problems/domains. Understand technology and infra constraints (eg: models, efficacy, data etc.) to conceptualize solutions within tight constraints of time & technology. Elaborate and describe the solution architecture holistically (i.e. considering all relevant viewpoints (e.g. functional Architecture, Data Architecture, Technical Architecture, Security Architecture, Performance Architecture, etc.). Elaborate the solution architecture for a specific solution based on architecture-significant requirements and company-wide architecture standards. Prove fit-for purpose of selected architecture by designing and building proof-of-concept solutions independently but in accordance with established architecture patterns. Validate solution architectures of the machine learning automation solutions regarding their adequacy and adherence to requirements and standards throughout the solution lifecycle. Track performance of the model/product once live and iterate the design of the machine learning models to achieve needed efficacy. Work with Delivery teams/BEF/Business SMEs to give inputs regarding the right end-to-end operating model for ML-solutions. Own support for product technology related issues to project and operations teams Define how the different solution components will need to interact and enable their implementation by the delivery teams. Minimum requirements Masters in Computer Science/Machine Learning/Statistics or equivalent areas Fluent in English, other languages beneficial Hands-on, passionate technologist with a ‘maker mindset’. At least 8-10 years total experience in IT in which at least 3-4 years is with designing and implementing AI/ML/NLP solutions Experience with using pre-configured ML services out of Azure/AWS to build out solutions. Experience building and deploying ground up ML models with Linear/Logistic Regression, Decision trees, Naive Bayes, Random Forest etc. Proficiency with one or more of the leading deep learning software packages: TensorFlow, Keras, PyTorch, or MXNet Global Mindset and communication skills; stakeholder influencing skills Experience and capability to work with different internal and external roles in a matrix organizational setup WHY CONSIDER NOVARTIS? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help us reimagine medicine. Division NBS Business Unit IT NBS Country Switzerland Work Location Basel Company/Legal Entity Novartis Pharma AG Functional Area Information Technology Job Type Full Time Employment Type Regular

20 petabytes of data! 2 million patient-years of information and 30 data domains from preclinical through Phase 3 trials! All waiting for you to unlock the next breakthrough in medicine. The Pre-Clinical Safety Project Pathology group in the Novartis Institutes for Biomedical Research (NIBR), Basel, is looking for you, an inspiring leader and authority in machine/deep learning (ML/DL) and imaging data science. We seek a computational scientist to help us pioneer machine learning approaches for the analysis of histopathological whole slide images (WSI). Explore new ways to integrate WSI data with various data sources: in vivo (clinical observations, body and organ weights, clinical pathology and biomarker results and omics) and in vitro toxicology data (off target screening), publications, Real World Evidence (RWE), Electronic Health Records (EHR), clinical trials data, assay data, omics, clinical biomarkers and/or other sources to support decision-making for drug discovery. What you’ll be doing We want you to explore novel machine learning methods, extract reliable insight from Whole-slide images (WSI) and identify correlations with multiple related data sources helping us to better understand the mechanisms of toxicity and clinical translatability. Provide us with guidance on analysis methods, data visualization, data integration, computational infrastructure, HPC/Cloud workflows for computational pathology. Work with different line functions with a focus on digital pathology, secondary pharmacology and multi-modal data integration. Join our safety assessment teams with the responsibility of accelerating the application of computational pathology data annotation, analysis and building decision support algorithms. Share knowledge with colleagues and train them on ML and computational approaches including model understanding/interpretability. Represent us in external and intra-departmental collaborations. Engage with the broader data science community within Translational Medicine, with data science partners in functions across Novartis, as well as external partners. Minimum requirements What you will bring to the role: PhD in computer science, engineering, statistics, mathematics, or related field ideally with applications in biology. Strong knowledge of mathematical foundations of machine learning (including deep learning), signal processing and image processing. Solid experience in histo(patho)logy image analysis including applications of convolutional neural networks. Practical experience in one or more field-relevant programming languages such as Python, C/C++ and R. Hands-on experience with commonly used deep learning frameworks (e.g. TensorFlow, Pytorch) and model architectures. Good technical experience and organizational skills to lead complex machine learning projects/initiatives. Demonstrated ability to design, implement and rollout analysis solutions. Experience in data visualization and in designing custom practical interactive visual data exploration interfaces for domain specialists (incl. web-based GUI). Extensive experience designing and scaling up/implementing large data workflows (especially image data) using a scientific computing environment on Unix/Linux (HPC, AWS/Azure). Shown experience in pulling and consolidating data from multiple systems, geographical locations and in varied formats, database design and management. WHY CONSIDER NOVARTIS? 750 million. That’s how many lives our products touch. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help us reimagine medicine. Division NIBR Business Unit Translational Medicine Country Switzerland Work Location Basel Company/Legal Entity Novartis Pharma AG Functional Area Research & Development Job Type Full Time Employment Type Regular

General information: Start date:   04.11.2019 End date:   31.10.2020 Work place:   Basel area Workload:   100% Background: The main task of this consultant is to build and migrate master data like Product Specifications, Methods and Analyses, etc. Main tasks: Build LIMS Master Data Migrate Master Data from legacy systems Test LIMS Master Data Day-to-day operational management of the workstream Manage Defects Reporting to the Project Manager Qualification and Experience: LIMS process and database experience (LabWare or similar) Quality Control and Laboratory business process experience Experience with LIMS Software and Master Data testing Good understanding of GxP and especially experience with Computer System Validation (CSV) Good English language skills German language is a plus

At   Fossil , we dare to dream, disrupt, and deliver in a better way. Our goal is simple - bring innovation, style, and connectivity to an industry ripe for change. Fossil is on a mission to revamp the way fashion accessories are done. We are committed to creating great watches, jewelry, handbags, small leather goods and wearables by investing in technology and long-term value creation. With our diverse portfolio of proprietary and licensed brands, along with department stores, specialty stores, eCommerce websites, and company-owned and operated retail stores, we are building a leading fashion- and tech-forward accessories company.   Are you in? Make An Impact For our Office in   Basel , Switzerland, we need an organized, creative and self-motivated professional. We are currently looking for a Retail Planning Data & Reporting Specialist (m/f) 100% The Retail Planning Data & Reporting Specialist will join our newly created VMI (Vendor Management Inventory) Retail planning team, part of our EMEA Commercial Center of Excellence Your impact: Data governance Secure point-of-sale data availability for planning (sales history & inventory) Drive standardization & automation of data acquisition process Reporting and Analytics Provide defined reporting and analytics for the VMI function Use the insights to drive sales through optimised replenishment Technical Capabilities of planning Tool Enhance VMI planning tool as per business needs coordinate functionality implementations with internal IT and external provider Who you are: 2+ years of experience in a similar role in retail or wholesale environment Expert in data governance, experienced in managing flow and warehousing of big amounts of data Profound analytical and reporting skills (BI/BW, Tableau or similar) Familiar with EDI concepts Commercially focused technical problem solver Project management mindset for technical implementations Good communicator and team player in a matrix organization Business fluent in speaking English, additional languages German, French are a big plus Computer skills: MS Office suite knowledge, Ms Access a big plus We are looking for people who embody our core values;   Authenticity , we are all in with our unique selves. Everyone is different at fossil and we love it!   Grit , we push through, we bounce back, and we set our sights on the prize & go after it.   Curiosity , we ask what if? What's next?   Sense of humor , we don't take ourselves too seriously. Yeah, seriously.   Making an Impact   we go big. We perform. We make a difference. Life is Short, Work Somewhere Awesome! Job Status Full Time Department Center of Excellence

80 - 100%The University of Basel is the oldest university in Switzerland, and ranked among the best universities in the world due to its research achievements. It counts over 12'000 students and 4'300 researchers in 7 faculties active in domains from humanities and social sciences to natural sciences. The University of Basel is promoting the growing area of Data Science by establishing a university-wide Data Analytics Center (DAC). The goal of the DAC is the advancement of research and the development of transdisciplinary synergies at the University of Basel and its partners. The service and support activities of the DAC will be provided by the Center for Scientific Computing (sciCORE) and the Digital Humanities Lab (DHLab) in collaboration with the Department of Mathematics and Computer Science (DMI). We invite applications for a data analysis support specialist (80-100%) to support quantitative research in humanities and social sciences. Your position The successful candidate will provide consulting and execute data analysis in research projects in various domains of humanities and social sciences. The primary mandate is to support research groups in need of data analysis by applying appropriate statistical, computational, and visualization methods, helping with semantic mappings, and making fundamental methodological advances. The position will involve hands-on data analysis and contributions to teaching (postgraduate courses). This position will be hosted at the DHLab. Your profile Our ideal candidate has a strong and diversified experience (postdoctoral level) in data analysis, in particular with applications involving analysis of large and complex data sets, using machine learning, deep learning, and other advanced statistics. Experience with various database concepts (eg SQL, NoSQL, SPARQL, GraphDB), semantic technologies, and knowledge of R and Python are required. Previous work with text, music, visual, survey, and other data, and familiarity with image analysis tools (eg ImageJ, Fiji) and at least one state of the art deep learning framework will be an asset. Given the important service aspect of the position, we expect our candidate to be flexible, proactive, capable of following several projects in parallel and to have a curiosity for humanities and social sciences in general. We offer you At the DHLab, you will be part of a highly efficient and motivated team of diverse data analysts, data infrastructure managers, and scholarly IT specialists. As a member of the DAC you will also join forces with support scientists at sciCORE and DMI. External collaborations and co-authorship in publications can be expected. We support our team members in their own training, networking and career development. You will have the opportunity to contribute in shaping the organization and development of this data analysis platform. The initial contract is for 2 years, with the possibility of renewal into a permanent contract. The University of Basel is an equal opportunity and family friendly employer committed to excellence through diversity. Application / Contact We look forward to receiving your complete application via the university's online application portal (see button below). Applications should include a curriculum vitae, list of publications indicating the five most significant papers, a link to your code repository or portfolio of data analysis projects, and names of three potential referees. Applications by email cannot be considered. For further information, please contact Prof. Gerhard Lauer gerhard.lauer@unibas.ch. The position will remain open until filled.www.unibas.ch

A permanent contract with the leader in innovation and high-tech engineering consulting A multi-stage model with career opportunities through specialization prospects, as well as with over 45'000 consultants around the world and revenue of EUR. 2.9 Bn, the Altran Group is the undisputed global leader in Engineering and R&D services (ER&D). In Switzerland, Altran employs more than 250 consultants and aims towards large growth with offices located in Zürich, Basel, Lausanne and Geneva. Your role Transform sensor signals into meaningful motion insights Provide expertise and support in Human Gait and Clinical Movement Analysis with highly accurate motion analytics Lead algorithm development and design for movement analysis Human gait/walking kinematics modelling and data analytics Support in design for manufacturing and cost optimization Requirements engineering for motion labs, accelerometry Your profile Mechanical (Biomedical) Engineering or Neuro-engineering or Neurosciences and with background in Bioengineering Modelling and Simulation experience Machine Learning knowledge MATLAB, C/C++, Python programming, Solidworks (CAD, CAM, FEA) English fluent, German is an asset

Zur Verstärkung unseres Teams in unserer Niederlassung Basel suchen wir eine motivierte, selbständige und belastbare Persönlichkeit. Als Data Science und Big Data Consultant konzipierst, designst und realisierst Du anspruchsvolle Aufgaben im Bereich Data Science und Big Data unterstützt Du unsere Kunden direkt vor Ort in vielen Phasen des gesamten Data Sciences Stacks bringst Du Erfahrung mit in den Bereichen Graph-Datenbanken, SemanticWeb sowie Big Data Tools und verteilten Systemen (Hortonworks HDP oder Cloudera CDH, Spark, Kafka, StreamSets, HBase) bist Du fit in einer der Programmiersprachen Java, Python oder Scala und hast Grundkenntnisse in den anderen beiden hast Du bei Applikations- und Plattform-Architekturen bereits gute Erfahrungen sammeln können brings Du von Vorteil Kenntnisse in On-Premise und Cloud Umgebungen mit (Microsoft Azure und Amazon AWS) Was wir bieten Über Trivadis 650 Kolleginnen und Kollegen an 16 Standorten in 5 Ländern. Spezialisten, die neugierig sind und Lust haben, die digitale Zukunft zu gestalten. Macher, die ihre Projekte mit technischer Kompetenz und Kreativität voranbringen. Individuen, die ihre Freiheit schätzen und ihre Arbeit selbstverantwortlich organisieren. Menschen, die sich als Team verstehen, gegenseitig unterstützen und voneinander lernen. Du, wenn Du Lust hast, gemeinsam mit uns Erfolge zu erzielen und zu feiern.mehr zu Trivadis

200+ number of Clinical Development projects currently in the Novartis pipeline. Many of these projects, which include new molecular entities as well as additional indications and different formulations for marketed products, are for medicines that could significantly advance treatment standards for patients worldwide. We are looking for an Associate Scientist to join our physical-chemical-analytical group within Biologics Technical Development to support our Biologics pipeline. Your responsibilities: Analysis and characterization of Biopharmaceuticals in early phase clinical development Development of chromatographic and electrophoretic analytical methods Independent planning, performance and evaluation of analyses Technical organization of an analytical lab and ability to work under time pressure Provide documentation of raw data, evaluation and contribute to interpretation of results Schedule and perform routine maintenance of lab instruments/equipment Contribute to lab procedures, reports and/or instructions and/or Instrument procedure, Lab Procedures according to Documentation Quality Practice Contribute to the evaluation of new lab equipment. Actively participate in project teams/meetings/networks Minimum requirements What you’ll bring to the role: Bachelor and / or Master Degree, apprenticeship or equivalent with specialization in analytical chemistry Fluent in English (written and spoken) Experience in protein analytics and in instrumental analytics (e.g. chromatography, electrophoresis or spectroscopy) Good organizational and team skills Why consider Novartis? 750 million. That’s how many lives our products touch. And while we’re proud of that, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives? We believe the answers are found when curious, courageous and collaborative people like you are empowered to ask new questions, make bolder decisions and take smarter risks. We are Novartis. Join us and help reimagine medicine. Please make sure to submit a CV and a cover letter. Division Global Drug Development Business Unit TECHNICAL R & D GDD Country Switzerland Work Location Basel Company/Legal Entity Novartis Pharma AG Functional Area Research & Development Job Type Full Time Employment Type Temporary

The Position We are looking for an intern position for a Deep Learning Scientist to join the scientific team of our Genedata Screener business unit. The Screener development and science teams create and maintain scientific software products. Continuous progress in science drives the constant evolution of these products. Adding new scientifically involved features with every release requires a solid understanding of scientific data analysis, continued research and prototyping of new analytical solutions. The successful candidate will have a chance to learn all these aspects in a global acting leading software company. Genedata develops to-the-point solutions that simply work. You will use your scientific and mathematical knowledge to solve real-world scientific problems. The result of your work can have a real impact on the real experimental and analytical practice in pharma drug research. What you need to fulfill this intern position is a strong scientific/mathematical background; experience in the fields of structured data analysis and algorithm design is a plus. This position is based at our offices in Basel, Switzerland.   We offer no internships shorter than six months. Key Responsibilities The successful candidate will work on ‘his/her project’, but will also assist our science staff by analysis of customer data, feasibility studies, feature specification, and software testing Prototyping and implementing of selected and bespoken algorithms and procedures for the advanced analysis of such screening data Documenting and presenting the work, use cases, its results or implemented methods and their application Your Profile Essential Skills and Experience M.Sc. or Ph. D. degree in computer science, bioinformatics, applied physics, applied mathematics, or a related field Experience with and algorithmic understanding of artificial intelligence, and convolutional neural networks Experience both in writing Java code and scripting project code, preferably in Python. We also require basic familiarity with the UNIX shell environment Ability to communicate with internal stakeholders (managers, scientists, and IT experts) We look forward to receiving your application if you possess the skills listed below, are a fast learner and wish to quickly delve into the scientific and technical challenges of cutting-edge screening technologies in the context of Pharmaceutical R&D Additional Desired Skills and Experience Experience in implementing AI based strategies/algorithms by using high level frameworks like Keras (and/or Tensorflow, DeepLearning4j, etc.) Experience in developing statistical methods and analysis pipelines for use by others. Experience with mathematical software packages, e.g. Mathematica, MATLAB, R, Octave Experience with networks, databases, image analysis, distributed systems, and/or web technologies Deeper knowledge within a few, or broader knowledge across a range of screening technologies and application areas is desired (please see our website for more details) Experience with pharmaceutical research and the drug discovery process would be valuable to us The Company Genedata is an exceptional company. With over two decades of success in research informatics due to closely-knit teams of scientists, developers and business experts, Genedata has achieved steady and continuous growth since inception. As a private and majority employee-owned organization, we empower each employee to be a contributing voice in the company operations and evolution. Our collective expertise in research informatics, combined with our open and scalable computational solutions, makes us the leading software provider in R&D informatics for biotech, pharmaceuticals, and related life sciences. We are headquartered in Basel, Switzerland and have subsidiaries in Germany, US, UK, Japan and Singapore. About Genedata Screener® Genedata Screener® analyzes, visualizes, and manages screening data from in-vitro screening assay technologies across the enterprise, including very complex as well as ultra-high throughput experiments. Its screening-oriented business logic enables rapid processing and comprehensive analysis of complete campaigns. Are You Interested? If you are interested in this position, please submit us your CV and motivation letter. Genedata is an Equal Opportunity Employer. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.