11 jobs found

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.

Manage the planning, design and engineering of data & advanced analytics solutions, using product model approach, to build reusable assets for the enterprise meeting quality and performance requirements and technical constraints across multiple countries and/or functions. Is overall responsible for Novartis-wide engineering of technical enterprise products or cluster of products (e.g. SEO, Data anonymization, Enterprise Integration (API), Data Ingestion Services, Data Fairification) Lead the design and engineering of the products * Define and governs architecture and design of the technical products in alignment with product managers and product consumers Build technical product teams Drive innovative and effective Advanced Analytics product delivery in alignment of Novartis investments. Leads, advises initiatives across Novartis divisions. This role is a critical driver for accelerating Novartis aspiration to go Big on Data and Digital. Engineering lead has responsibility for ensuring their team and product delivers value to customers: Guides the technical vision and implementation of their software products Responsible for defining how to develop the product, product stability, and overall product quality Takes the lead in building a deep understanding of new and relevant technologies for the purpose of enhancing their product Ensures the optimal application of product engineering resources in order to meet product development requirements Build product teams, plays a mentorship role to engineering personnel, assisting in their duties upon request, and constantly promoting the growth of their professional skills Helps the team to achieve and surpass product and program goals Provides technical guidance and direction as well as contributing hands-on to software development - Recruit product team engineers in order to ensure continuity, consistency and excellence in product delivery - Organize product teams by compiling the required resources and assigning responsibilities according to a defined time schedule Acts as an evangelist and guiding practitioner of agile and DevOps practices Leads the charge in the product team for crushing technical debt Builds strong working partnership with product owners and delivers in alignment with product roadmap priorities Ensures that MVP products are delivered in a secure, robust, scalable and usable form which are in strong alignment with the product owner Ensure the overall user experience is taken into account when designing and deploying new solutions and services Ensure that release delivers the expected outcomes and value for the customers Take accountability to ensure adherence with Security and Compliance policies and procedures within Solution Delivery scope Ensure that all releases and deployment packages can be tracked, installed, tested, verified and backed out (if required), in adherence to CI/CD best practices Contribute to creation of analytics engineering practice in NBS IT: Set up organization, implement new operating model and technology standards, hire and train workforce Provide excellent subject matter expertise and develops an environment, which fosters innovation Manage, coaches and oversees internal and external resources in line with their targets, roles and responsibilities and the Novartis values & behaviors Minimum requirements University degree or equivalent. Business fluent in English (written and spoken) At least 15 years of experience in Business and IT, predominantly in Business Analytics 5 years of experience in Big Data and Advanced Analytics Proven leadership skills in Big Data and Advanced Analytics with the ability to drive diverse, geographically dispersed teams to deliver against milestones Proven experience in creating and leading technical product engineering including full stack engineering 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

tl;dr:   We are looking for a great developer who loves to write beautiful code. Your ideas and creativity matter. The Position This position offers an exciting opportunity to shape and promote our successful Genedata Biologics® and Genedata Bioprocess® products. You will work in a strong, agile, international team with the focus on delivering software that makes a difference. The Genedata Biologics development team creates and maintains scientific software products. Continuous progress in science means that these products constantly evolve and many new features are added with every release. This requires solid software architecture and continuous evolution. Best software development practices such as test-driven development or clean code are therefore not only buzzwords for us but key factors for our long-term success. As part of the core development team you will be wearing all the hats. You will be helping users by developing new features, removing complications by designing a meaningful user experience, saving someone's day by fixing bugs, changing someone's life by understanding their problem and creating a solution that works; saving people a lot of trouble by heavily testing our software, teaching new users by writing readable documentation, figuring out why remote streams stop working after 8MB of data, taking your fellow developers to the next level by creating development tools, rejoicing when you finally make complex code understandable, giving power to our customers by designing public APIs. This full-time position is based at our head offices in Basel, Switzerland. Key Responsibilities Design, implement, test and maintain the software Play an active role in the Scrum process Document and communicate your work to your colleagues and other stakeholders Your Profile BSc, MSc, or PhD in computer science, or related fields, or comparable on-the-job experience 3+ years of professional software development experience Expert knowledge of Java Experience with unit testing and Test Driven Development Experience with relevant JEE technologies: JAX-RS, JPA/Hibernate Experience with SQL and relational database systems, preferably Oracle Experience with single page applications Experience with frontend ecosystem: ES6, TypeScript, DOM, React, Redux, node.js, HTML5, CSS3 Knowledge of algorithms, data structures, and design patterns Ability to write code following the DRY and S.O.L.I.D. principles Good written and verbal communication and presentation skills in English Motivation to learn continuously A background in biology, especially molecular biology or immunology, 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 Biologics Genedata Biologics is a first-in-class workflow system that boosts efficiency, throughput, and quality during the biologics discovery process. Uniquely designed for large molecules, the system supports the entire biologics research process - from screening, protein engineering and optimization, expression, purification, analytics and QC, to developability and manufacturability assessment. Are You Interested? If you are interested in this position, please submit us your resume and motivation letter. Genedata is an Equal Opportunity Employer. Genedata only accepts CVs and resumes directly from candidates. Personnel recruitment agencies need not respond.

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: The Senior Medical Director, Clinical Science, Europe will support BeiGene Clinical and Medical assets by successful planning, execution and reporting of clinical development programs and deliverables in partnership across the organization; with external vendors; and with external academicians and collaboration partners. The candidate will report to the VP of Clinical Development, Europe. As a leader in the organization, the incumbent will be accountable to jointly develop clinical program strategy and assure that activities are executed within expected scope, budget and timelines. The incumbent will play a key role in establishing the growth of Clinical Development functions to assure best-in-class global capabilities and execution. Specifically, the incumbent will work closely with colleagues in Clinical Development, Program Leadership, Biometrics, Clinical Operations, Safety/Pharmacovigilance, Regulatory, Medical Affairs, Molecular Diagnostics, and Translational Research. Essential Functions of the job: Facilitate generation of, author, update, and/or review key documents, including, but not limited to: Protocol concepts, synopses, protocols, and amendments Informed consent documents Investigator Brochures Clinical study reports Abstracts, posters and manuscripts Clinical sections of INDs (and equivalent applications), NDAs (and equivalent applications), Annual Reports, and Developmental Safety Update Reports Clinical sections of Health Authority Briefing Documents, Orphan Drug applications, and annual reports Risks / benefits analysis for applicable documents e.g. PBRER Clinical Development Plans Partner with clinical operations and other functional areas for the successful implementation and execution of clinical studies Provide scientific expertise for selection of investigator and vendors Train BeiGene colleagues, CRO staff, and study site staff on the therapeutic area, molecule, and/or clinical protocol Provide scientific and medical support throughout conduct of a clinical trial; respond to clinical questions from sites, IRBs/IECs, Health Authorities, and CROs Review, query, and analyze clinical trial data Interpret, and present clinical trial data both internally and externally Represent a clinical study or development program on one or more teams or sub-teams Create clinical study or program-related slide decks for internal and external use Build and maintain opinion leader/investigator networks; organize and present at key opinion leader advisory boards and investigator meetings Contribute to or perform therapeutic area/indication research and competitor analysis Build strong relationships with internal experts. Identify continuous process improvement opportunities. Identify incremental organizational resource needs – staff, budget, and systems. Develop, track, execute and report on goals and objectives. Support budget planning and management. Be accountable for compliant business practices. Experience Minimum 12 years of experience and success within other biotech/pharmaceutical companies. Previous participation in a clinical development program is essential, including involvement in all stages of clinical trials (i.e. from start up to study report), ideally having taken at least one study through from start to finish in a clinical scientist role. Clinical oncology experience; candidates with exceptional experience in other therapeutic areas would be considered if they demonstrated clear potential to apply their existing skills to oncology. Expert understanding of global clinical study design and drug development process from discovery to registration and post-marketing. High level of communication (written and verbal), interpersonal, organizational, and cross functional collaboration skills Knowledge of GCP and ICH Guidelines Flexibility to work with colleagues in a global setting Able to engage in work-related travel approximately 25% Strategic leader with demonstrated success building, managing and developing individuals and teams is preferred. Experience with the development and support of related SOPs and policies is expected. Knowledge of industry standard Clinical Development IT solutions expected. Capabilities and Competencies Executive presence. Values based collaborator – respectful, accountable and collaborative. Ability to relate and work with a wide range of people to achieve results. Impactful written and verbal scientific communication. Successful and superior influencing skills across all levels of the organization and external collaborators. Problem solving and risk-mitigation skills. Confident, positive attitude, enthusiastic and charismatic. Appreciation of diversity and multiculturalism. Strategic and creative thinker. Ability to build working relations throughout the organization and with business partners to achieve business goals. Strong time management and organizational skills. Ability to manage multiple projects in a fast-paced environment. Skilled in multiple computer-based tools, in addition to software programs such as MS Office. 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. Education Required:   MD, MD/PhD. within a clinical and/or scientific profession (or an equivalent level of professional, clinical and/or scientific education, training and experience) required. 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@beigne.com for assistance. 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@beigne.com for assistance.

Hobson Prior are currently working with a drug discovery and development organisation who are focused on the treatment for inflammatory diseases, immune-related disorders and cancer by developing antibody-based drugs. Job Responsibilities: Responsible to support the Clinical Science Leader in the design and implementation of the overall clinical development strategy. Manage the clinical study. Track and report costs for assigned outsourced activities. Complete clinical review analyse and interpretation of data. Lead the trial team for the assigned study and a key contributor of the Clinical Science strategy. Contribute to the assessment of the benefit / risk profile of the therapeutic antibody. Prepare scientific documents, study protocol, master informed consent, investigator brochure, statistical analysis plan, publications, and regulatory documentation. Represent Clinical Science within Clinical Development and other functions and departments. Key Skills: Strong communication skills. Willing to be part of interdisciplinary teams with spirit of initiative and proactivity. Able to work self-sufficiently, under minimal guidance. Fluency in written and spoken English. Requirements: A second level university degree in life sciences is required. A minimum of 5-7 years working in the clinical development as clinical scientist, ideally in a rare disease indication are required. Prior clinical development experience in the pharmaceutical industry is required. Experience in writing protocols, reviewing, analyzing and reporting clinical study data is required. Proven experience with interacting with Health Authorities (FDA, EMEA.) is required. A background in immunology and/or in chronic inflammatory diseases would be an advantage. Knowledge of analytics platforms such as Spotfire, Graphpad would be an advantage Swiss resident or EU national. Apply now: If you are interested in learning more or applying to this exciting opportunity, please complete the form below and attach a copy of your CV. Alternatively, for further details or to talk directly to a life sciences recruitment specialist, please request a call back at the top of this page. Hobson Prior is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Hobson Prior is acting as an Employment Agency in relation to this vacancy.

21st Century evolution and innovation in digital technologies, data and advanced analytics is rapidly changing the healthcare environment. We believe that Real World Evidence will transform healthcare decision-making as part of that revolution. As a RWE Data Scientist, you will work with meaningful data to gain impactful insights on our medicines and patients. The data will be varied in type - patient-level clinical data, supplemented with deep patient data like genomics, imaging, digital health, etc. Source data will be diverse - real-world data, including patient registries, electronic medical records, claims and biobanks. The RWE Data Scientist will be responsible for contributing to and executing the RWE strategy within Novartis Oncology. This role will partner with RWE Directors, Scientists and cross-functional stakeholders to translate real world data into evidence and insights. You will work collaboratively to build strong internal partnerships and act as subject matter expert by providing expert consultations on all aspects of RWD studies and analyses, including objectives, study design, data source identification, protocol development, statistical analysis, and/or interpretation. Furthermore, you will be responsible for implementing RWD-based analyses using programming and rapid-analytic tools. You will bring an innovative mindset and fresh perspective to the use of data and analytics in oncology and be a key contributor to improving analytic efficiencies and expanding the use of RWE across the organization. Your responsibilities will include: 1.Partner with RWE Directors, Scientists and x-functional stakeholders to develop a deep understanding of evidence needs and to conceptualize and implement RWD-based analyses and studies 2.Support the development of real world data and analytics capabilities and utilization, and lead in applying cutting-edge advanced analytics methodologies and tools to generate novel insights and actions 3.Conduct and oversee execution of RWD-based queries and studies; effectively communicate the findings and study results to internal stakeholders 4.Ensure high quality, rigorous and readily interpretable deliverables are generated from RWE studies/analyses 5.Build RWD-based self-service analytic tools that will enhance analytic efficiencies and will expand the use of RWD/RWE across the entire product life-cycle 6.Support the incorporation of RWE methods and perspectives into global development strategies 7.Continuously improve the data analytics platform, creating industry-leading performance through leveraging new and creative data sources and collaboration models with third party networks 8.Define standards and processes to manage quality, consistency, usability, security, and availability of data throughout the data lifecycle 9.Develop and address opportunities around novel sources or applications of data, and define how the business creates additional value through utilization of real world data and analytics, and drive cultural change towards data and analytics centricity 10.Improve literacy in the value and use of data and advanced analytics across the organization by leading successful implementation of data and analytics initiatives across regions and countries 11.Manage external data and analytic partners and collaborate closely with other analytic teams across Novartis 12.Define functional objectives as well as KPI and quality metrics, identify opportunities, gaps and priorities, and contribute to best practices standards. Stay abreast of emergent applications and positively drive development of RWD and analytic capabilities globally and locally Minimum requirements What you’ll bring to the role: Advanced degree or equivalent education/degree in life science/healthcare required (e.g., biostatistics, epidemiology, bioinformatics, computer science, mathematics, data science) Fluent English (oral and written) 7+ years relevant experience acquired at pharmaceutical companies, academia, healthcare provider / Payer / HTA, or relevant consultancy companies Extensive experience with analytics, including statistical programming languages (SAS, R, Python); experience with rapid analytics platforms such as IHD and producing interactive outputs is a plus; Experience with technologies to undertake analyses on large data sources or with computation-ally intensive steps (SQL, Hadoop, Spark) Experience producing interactive outputs (Shiny etc) Contributor to open source packages, libraries or functions Experience implementing reproducible research practices like version control (e.g. using Git) and literate programming Deep understanding and experience of Real World Data/Real World Evidence or related disciplines to generate scientifically rigorous and value evidence from secondary data sources Awareness of changing analytics and technology trends within and outside the industry 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. Some restrictions on flexible working options may apply and will be discussed during interview if applicable. Division Oncology Business Unit ONCOLOGY BU Country Switzerland Work Location Basel Company/Legal Entity Novartis Pharma AG Functional Area Market Access Job Type Full Time Employment Type Regular

Job description Baloise Group encourages a culture of innovation, agility, and entrepreneurial spirit marked by a strong customer focus. In the digital age the customer expectation of an insurer is changing radically. In response to these challenges Baloise decided to establish the Data Lab, a dedicated Data Science team. The Data Lab plays a key role in transforming Baloise into a data driven organization. Initially, the team is focusing on the implementation of analytics use cases. In a second phase, topics such as information architecture, data quality and data governance will follow. A great opportunity to shape the Data Science capabilities from scratch! For this role we are looking for an experienced Data Scientist with 3+ years in insurance. Your responsibilities: As a data scientist, you develop and implement predictive analytics and data science projects for the analysis and visualization of data for different problems. You act as a business enabler and advise a range of departments on technology, methodology and operationalization. What we expect A university degree in a quantitative field (mathematics, statistics, computer science) Multiple years of experience in building statistical models and products which have had measurable results, preferably in insurance The ability to understand any analytical problem, create a statistical model and present conclusions from it Strong analytical capabilities paired with good communication skills to encourage the adoption of analytical solutions throughout the organization Experience in machine learning algorithms or deep learning (e.g. GLMs, Random Forests, Support Vector Machines, Neural Networks). And a sound methodological background The ability to query data sets in a complex data landscape and the use of statistical tools and programming languages, in particular R, SQL, Python, and SAS BI tools German language skills would be a plus What we offer The opportunity to make a creative contribution to a growing company in an extremely important strategic area A culture of learning, sharing and progressing together A respectful and collaborative working environment Interested? Please upload your application documents directly on our online platform. Instead of a covering letter, simply answer the questions in the application process. The Baloise is a modern company with many interesting people and stories.

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 biomedical and natural sciences. Your position The successful candidate will provide consulting and execute data analysis in research projects in various domains of natural sciences (life sciences, physics, chemistry). The primary mandate is to support research groups in need of data analysis by applying appropriate statistical, computational, and visualization methods, helping with experimental design, and making fundamental methodological advances. The position will involve hands-on data analysis and contributions to teaching (postgraduate courses), and will be hosted at sciCORE. Your profile Our ideal candidate has a strong and diversified experience (postdoctoral level) in data analysis, in particular with applications involving analysis of complex data sets (multi-scale data) using machine learning, deep learning, and other advanced statistics. Experience in high-performance computing environments (Linux) and knowledge of R and Python are required. Previous work with imaging data or *omics data, and familiarity with 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 natural sciences in general. We offer you At sciCORE, you will be part of a highly efficient and motivated team of diverse data analysts (from biostatistics to astrophysics), data managers, and scientific IT specialists. As a member of the DAC you will also join forces with support scientists at the DHLab 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 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 Dr. Geoffrey Fucile scicore@unibas.ch. The position will remain open until filled.www.unibas.ch

Amaris is an independent, international Technologies and Management Consulting Group. Created in 2007, Amaris is already established in over 50 countries and supports more than 850 clients worldwide throughout their project's lifecycle. Our expertise covers five areas of innovation: Business and Management, Information Technologies, Engineering and High Technologies, Telecommunications and Biotech and Pharma. With more than 65 offices across the world, the Group offers proximity support to its clients in all their locations and many opportunities of international careers for employees. In 2019, Amaris aims to reach a turnover of 350 million euros, 6500 employees and to develop its workforces with the anticipation of a further 2000 new job openings. We expect to triple our workforce within the next few years and reach a leading international position in independent consulting. Your Role For one of our most important clients operating in the pharma/chemical sector, we are looking for IT consultants/managers experts in process optimisation and digitalisation. The selected people will join a dynamic and exciting team working on a global processes optimisation project, within the Innovation & Research division. You are an outstanding IT professional with minimum 5 years' experience in: Project Management Business Process Reengineering Process Optimisation Digital Innovation Experience in data science and artificial intelligence topics is a plus. You are a great team player and out of the box thinker, accustomed to working under pressure and in a challenging environment, with good problem solving capabilities. Experience in the pharma/chemical sector and fluency in English complete the profile. Fluency in German and/or French is a great plus. Workplace:   Basel city