12 jobs found in Basel

6500! That’s the number of associates in the Novartis Institutes for BioMedical Research (NIBR). This division is the innovation engine of Novartis, focusing on powerful new technologies that have the potential to help produce therapeutic breakthroughs for patients. The Neuroscience (NS) Department at Novartis Institutes for Biomedical Research (NIBR) in Basel, Switzerland, is seeking a Scientific Associate or Scientist with Molecular and Cell Biology skills to join a lab focusing on neuroscience. The specific focus of the team is to modulate neuroinflammation to ameliorate or halt pathology in neurodegenerative diseases. As part of a multidisciplinary, highly collaborative team, you will independently plan, execute and analyze experiments and interpret data aiming at the discovery and characterization of new therapeutic targets and drug leads. The group is using complex primary cell culture models, but also establishing cellular high and medium throughput assays to assess therapeutic efficacy of antisense oligonucleotides, antibodies or low molecular weight compound under relevant physiological conditions. On top of a solid neurobiological background, good knowledge of and experience with immunological methods (FACS, cytokine assays, ELISA, histology) would be an asset. You will present data in meetings within the department and to contribute to writing of research documents and publications. Furthermore, you will interact with multiple groups within our department as well as with other groups and external colleagues and have the opportunity to represent the lab in project team meetings. Minimum requirements Master’s degree in Neurobiology / Immunology or another relevant Life Science discipline Several years of post-graduate experience in industry or academia in drug discovery or related laboratory research Proficiency in Molecular and Cell Biology techniques, comprising but not restricted to cultivation and manipulation of cell lines and primary mouse and human cell cultures, biochemical assays (e.g. cytokine assays, second messenger assays) and high content cellular imaging technologies Hands on experience in immunological methods e.g. flow cytometry, ELISA, immune cell isolation, antibody characterization In vivo license and working experience is beneficial Proven experience with complex cellular models, in particular with primary human myogenic cells, and confocal microscopy is advantageous Highly motivated team player with refined collaboration skills Excellent communication and interpersonal skills Fluency in English (oral/written) 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 NEUROSCIENCE Country Switzerland Work Location Basel Company/Legal Entity Novartis Pharma AG Functional Area Research & Development Job Type Full Time Employment Type Regular

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

The Position We are looking to fill an opening for a Scientific Consultant in our Selector Business Unit. The Genedata Selector® suite is an enterprise solution for managing and analyzing genome-related knowledge for strain, cell line and germplasm optimization. The software application enables processing of raw sequencing data, integration of genomic data with transcriptomics and metabolomics data, improved gene functional annotation, insights into molecular pathways and statistical analysis. As part of our professional services team, this position will act as an interface between science and sales, working closely with external customers and internal sales and software engineering teams. We are looking for someone who is self-motivated and a team-player with an ability to present and represent a complex software solution in an effective way. This full-time position is based out of our office in Basel, Switzerland and requires up to 20% travel within Europe, and occasional travel to North America and Japan. Key Responsibilities Scientific consulting and professional service projects, working with customer’s cross functional partners including scientific and IT partners Identify customer needs, and map them to the capabilities of the software Troubleshoot scientific and technical support issues and capture user feedback Communicate customer needs and coordinate activities internally with the scientific consulting and professional services team, business account managers and product managers Support our sales team with product expertise, scientific presentations, and software demonstrations Present the product vision of Genedata Selector to prospects and customers Internet-based and on-site product training sessions with customers Identify new business opportunities with business account managers Define appropriate service projects with customers to fulfill unmet needs Your Profile Essential Skills and Experience: MSc or PhD in bioinformatics, biostatistics, molecular biology, microbiology, or similar discipline 3 years’ experience working in a biopharma, industrial biotech, agribusiness or related life sciences environment using standard bioinformatics tools and databases Next generation sequencing data processing and analysis skills Strong background in statistics Proficient working in a UNIX environment and with using a scripting or programming language (e.g. Perl, Python, Java) Familiar with SQL and relational databases (e.g. Oracle) Excellent written and verbal communication skills Fluency in English is a must Highly motivated self-starter Must be currently located in Europe 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 Selector Genedata Selector® is an enterprise software platform that transforms raw sequencing data into solutions to optimize R&D and production processes for life science industries. Automated and intuitive software combined with scientific consulting and professional services provides a full solution for increasing efficiency and reducing costs in cell line design and selection, microbial contamination detection, and strain, germplasm, and breeding optimization. Are you interested? If you are interested in this position, please submit us 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.

The Position We are looking to grow the sales and business development team to support the successful and expanding business during the next growth phase of Genedata Expressionist®, our leading enterprise software solution for the processing, analysis and management of mass spectrometry data in the biopharmaceutical industry. As part of a dynamic sales and business development team, you will be responsible for identifying, qualifying, developing and closing new business, while growing existing accounts. You will establish trusted client relationships through strong verbal and written communication skills to tackle complex enterprise sales scenarios that involve working with multiple influencers and decision-makers from the IT, science and business side. You will actively identify client needs and uncover critical business-relevant bottlenecks that you address together with your scientific and technical team with value-adding Genedata Expressionist solutions. This position offers an exciting opportunity to support, shape, and grow a successful business unit at Genedata. It involves a high level of interactivity and responsibility in a growing company, and the opportunity to work as part of a strong interdisciplinary and international team. This full-time position is based in our office in Basel, Switzerland, and will have responsibility for specific geographic areas and/or specific accounts in Europe. It requires regular travel within Europe (25%) and occasional international travel (5%). Key Responsibilities Pro-actively drive business and manage the entire sales cycle from prospecting to closure Represent the company at conferences, trade shows, and networking events Identify new leads within the target market, follow-up, and qualify to generate new opportunities Understand prospect situation, needs, and underlying data processes & workflows Develop and present software solutions that address prospect needs Communicate proposals, create value, and negotiate sales agreements Manage accounts and relationships with existing clients Your Profile Passion for selling high-value software or enterprise IT solutions within the biopharmaceutical and life sciences industry, preferably into research and development organizations Demonstrated track record of achieving and exceeding sales goals Excellent written and verbal English skills with clear, confident, and thoughtful communication in email, on the phone, and in face-to-face meetings A high degree of initiative combined with excellent interpersonal skills and the ability to work effectively as part of a cross-functional and international team Skilled time management with the ability to prioritize goals and successfully move deals through the sales cycle Proficient with MS-Office package These additional skills and experience are a plus: Scientific or technical background (MSc or Ph.D.) Knowledge of mass spectrometry technology and applications Solid understanding of project management methodologies First-hand knowledge of the bioinformatics software market 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 Expressionist Genedata Expressionist® is a comprehensive enterprise software platform for managing, processing, analyzing, and reporting of mass spectrometry data in application areas such as biotherapeutics characterization, proteomics, and metabolomics. Configured data processing workflows enable the implementation of tailored solutions, enabling automation and harmonization of complex data analysis processes. Integrated data- and project-management helps organizations to streamline methods and efficiently manage data, results, and reports. Built on an open and scalable client-server architecture, the solution can handle large experimental data sets from all major vendors and technology platforms and can be easily integrated into existing research and development IT environments. 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. Legal authorization to work in the United States on a full-time basis for any employer is required. Genedata is an Equal Opportunity Employer.

The Position We are looking for a Scientific Consultant / Field Application Scientist for a full-time permanent position within our Genedata Screener business unit. The Scientific Consultant is a scientific and technical consultant for our customers. It a highly dynamic job – you will wear many different hats, interact with many different people, and use your scientific and technical knowledge to solve real-world scientific screening problems. 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 our headquarters in Basel, Switzerland and requires about 30% travel within Europe, and occasional travel to North America. Key Responsibilities First and foremost, you will become an expert in scientific and IT matters related to biological (small and large molecule) screening data analysis in general and the use of our Genedata Screener software in particular. You will combine this expertise with excellent communication skills and project management know-how to (a) support our customers in getting the most out of Genedata Screener, (b) aid our sales team, and (c) propose, plan, execute and manage projects. (a) You will establish relationships based on trust with our customers by being their first point of contact and sparring partner on scientific and technical matters. We want our customers to have excellent screening processes, and it will be your job to get them there. You will also provide user training and product support. (b) You will work in tandem with our Business Account Managers in establishing and communicating the value of Genedata Screener to prospects and customers. Tasks include qualifying customer needs, giving pre-sales presentations and demos, and managing software evaluation projects. (c) In addition, you will act as project manager for projects of different types: scientific consulting, software implementation, systems integration, and data analysis projects. You will ensure their 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 the implementation work of our developers; 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 Screener team to keep improving our processes. In addition to the core responsibilities listed above, we want you to help all of us in the Screener 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: 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. We are particularly looking for candidates with a degree (preferably post-graduate) within quantitative biology, bioinformatics, applied physics, applied mathematics, or a related field. In addition, 2+ years of industry experience would be a definitive advantage, especially in a pharmaceutical or biotechnology company, a contract research organization, a consulting company, a provider of scientific software, or the software department of a provider of screening instrumentation. 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 screening technologies in the context of Pharmaceutical R&D. Additional Preferred Skills and Experience: Technical skills: The role involves scripting and working with UNIX systems, which means that experience with at least one scripting language (preferably Python) as well as basic familiarity with the UNIX shell environment will get you up to speed faster. Familiarity with Java, networks, databases, data mining, image analysis, distributed systems, and/or web technologies is an advantage, but not strictly required for the job. Experience in managing IT projects involving multiple stakeholders is a clear plus. Industry knowledge: You will work with a range of screening 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 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 are looking for a Junior Scientific Sales Associate for a full-time position.   The location is based in our headquarters office in Basel, Switzerland, and requires about 30% of the time. The role of revolving around the customer base of our enterprise screening software, Genedata Screener.   The software is used by institutions and institutions to provide biopharma corporations.   Your job is to understand the needs of biopharmaceutical scientists, to investigate the latest trends in the drug discovery process, and to identify new business opportunities. Whilst the company is in the business world, it has a great deal of experience in the field of business management to date on upcoming software functionality. A business mindset is a solid scientific background, a communicative and open approach to teamwork, curiosity, a business mindset and a willingness to take initiative.   What we offer is a stimulating environment where high-quality scientific software is produced by a group of people who want to improve their input, experience and enthusiasm. Key Responsibilities Talk to biopharmaceutical research scientists to understand their data analysis 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 more than two decades of success in the field of information science, scientists and business experts, Genedata has achieved steady and continuous growth since inception.   As a private and major employee-owned organization, we empower each employee to contribute to the company's 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 biotechnology, 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® analysis, visualization and management 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.

Smart data :   Omni-Channel Analytics : Digital Marketing Optimization - zweipunkt ist eine Basler Agentur für Digital Intelligence. Durch das Zusammenführen und die Analyse von relevanten Daten sowie die Visualisierung von Erkenntnissen schaffen wir faktenbasierte Entscheidungsgrundlagen und erarbeiten Handlungsempfehlungen zur Optimierung von digitalen Kanälen und Marketinginvestitionen.   Wir sind ein junges und dynamisches Unternehmen an bester Lage nahe der Basler Altstadt. Als einziger Google Analytics Certified Partner der Nordwestschweiz sind wir einer der führenden Schweizer Anbieter für Digital Analytics Dienstleistungen.   Zu Deinen Aufgaben gehören: Beratung und Support im Bereich Digital Analytics mit Fokus auf Implementierung und Systemlandschaften Erstellung und Implementierung von Trackingkonzepten ErstellungvonkundenspezifischenReports,DashboardsundPräsentationen Implementierung von 3rd Party Marketing Tags mit Tealium und Google Tag Manager Analyse und Interpretation von Unternehmensdaten und Ausarbeitung von Optimierungspotentialen und Handlungsempfehlungen (Content, Nutzerwege und -prozesse, eCommerce-Prozesse) Produktverantwortung Google Analytics und Ansprechpartner für Google Partner Manager Durchführung von Schulungen und Trainings BegleitendesProjektmanagement MitgestaltungunseresDigitalAnalyticsBereichs Dein Profil: Als versierter Vermittler zwischen IT und Marketing verfügst Du über   fundierte Kenntnisse und Erfahrung mit Google Analytics (von Vorteil Google Analytics 360 Suite) und Google Tag Manager Erfahrung im Online Marketing und ggf. Performance Optimierung ausgezeichnete analytische und konzeptionelle Fähigkeiten ein hohes Qualitätsbewusstsein, Belastbarkeit und Teamfähigkeit eine kommunikative Art mit guten Deutsch-und Englischkenntnissen eine selbständige, exakte und zuverlässige Arbeitsweise Interesse an neuen Technologien, Markt-und Produktentwicklungen und Trends Erfahrung in der Omni-Channel Datenanalyse, im Online Marketing (AdWords, DoubleClick, SEO etc.) oder A/B- Testing (wünschenswert) Kenntnisse der Tools Tealium iQ/Tealium AudienceStream, Webtrends Infinity oder Tableau Software (wünschenswert) JavascriptundjQueryKenntnisse(solltenimAnsatzvorhandensein) Was wir bieten: Attraktive Anstellungsbedingungen, spannende Projekte und interessante Kunden, eine vielseitiges Know-how, gute Weiterbildungsmöglichkeiten und eine produktive Arbeitsumgebung.   Interessiert? Dann sende Deine kompletten Bewerbungsunterlagen.

Hobson Prior are currently looking for a Java Software Developer to join an innovative software company who focus on transforming data into intelligence with pioneering software solutions. This position is on a a permanent basis based in Basel, Switzerland. Job Responsibilities: Design, implement, test and maintain the software. You will play an active role in the Scrum process. Document and co-operate your work to your colleagues and other stakeholders. Key Skills: Good communication skills both verbal and writted. Presentation skills in English. Motivated to always want to learn. Requirements: BSc, MSc, or Ph.D. in computer science, or related fields, or comparable on-the-job experience. A minimum of 3 years of professional software development experience. Expert knowledge of Java. Prior experience with unit testing and Test-Driven Development. Experience with relevant JEE technologies: JAX-RS, CDI, JPA/Hibernate. Experience with SQL and relational database systems, preferably Oracle. In-depth knowledge of algorithms, data structures, and design patterns. Able to write code following the DRY and S.O.L.I.D. principles. 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.