Duties: Partner with AI researchers and bioinformaticians to develop novel computational methods to infer causality in disease progression; Work closely with biologists in Immunology and Oncology to solve biological questions and validate computational findings; Contribute to drug projects by providing support on target identification and validation, biomarker discovery, patient stratification, clinical trial design, etc; Analyze multi-omics and phenotyping data from research studies, clinical trials and real world databases to identify disease-driving cell types, pathways, and genes
Requirements: Ph.D. degree in bioinformatics, biology, computational biology or a relevant field. Experience in the pharmaceutical industry is preferred; 5+ years of industry experience, or 3+ years in industry plus 2+ years academic post-doc experience; Passion for in-depth understanding of biological questions and finding plausible answers with data analytics; Solid biology knowledge in Immunology or Oncology, being able to communicate comfortably with biologists

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 6+ years industry experience and an advanced degree in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Experienced in team management and people management; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale; Develop comprehensive knowledge of data structures and metrics, advocating for changes where needed for product development
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Duties: Be the primary resource for analysis needs related to PGDx assays; Perform data analysis in support of assay validation; Once the assay has moved to production, perform routine QC and any required downstream analyses following established work instructions; Communicate with clients to address any project-specific concerns or needs; Be able to gather any required deliverables from the analysis system as needed beyond the core reporting; Support the transfer of deliverables to clients as needed
Requirements: MS in bioinformatics, biology, or related field; Two+ years of practical bioinformatics experience, including knowledge of common NGS file formats, data types, and analysis tools; Demonstrated understanding of next-generation sequencing (NGS) technologies; Strong background in statistical analysis methodologies commonly used in validation activities

Duties: Program complex non efficacy datasets; Program complex non efficacy outputs/figures; Develop and debug more complex macros; Create, QC and update simple, non-efficacy dataset specifications for single studies; Review simple study design SAP with supervision; Review listings and simple summary shells without supervision and provide feedback; Awareness of CDISC SDTM and ADaM implementation guidelines
Requirements: Educated to degree or diploma level (or equivalent) within maths, computer science or a related discipline; SAS Programming Experience within the pharmaceutical industry; Good awareness of clinical trial issues, design, and implementation; Familiarity with GCP and regulatory requirements; Experience of programming to SDTM and ADaM standards

Duties: Program complex non efficacy datasets; Program complex non efficacy outputs/figures; Develop and debug more complex macros; Create, QC and update simple, non-efficacy dataset specifications for single studies; Review simple study design SAP with supervision; Review listings and simple summary shells without supervision and provide feedback; Awareness of CDISC SDTM and ADaM implementation guidelines
Requirements: Educated to degree or diploma level (or equivalent) within maths, computer science or a related discipline; Keen to be considered for the role? APPLY NOW to submit your application. Please note, we are unable to provide sponsorship for this role; Fluent in Japanese

Duties: To assist the Head of Statistics in providing timely communication to the function; Leadership of members of the statistical function within specific geographical regions; Line manage senior members of staff within the statistics function, allowing individuals the opportunity to reach their full potential; Training and mentoring line managers and less experienced members of staff within the Statistics function; Support resolution of any issues escalated by or involving statistics team members; Support the operational success of studies through careful planning and work assignments; Helping the Head of Statistics identify areas of skill development for the statistics function as a whole; Work closely with cross-functional Operational leadership team
Requirements: Educated to PhD or MSc in Biostatistics or a related discipline; Experience within the pharmaceutical industry to have a good awareness of clinical trial issues, design, and implementation; Familiarity with GCP and regulatory requirements; Experience of writing SAPs, protocols & regulatory submissions

Duties: Program and validate datasets and SDTMs, including complex efficacy, labs, etc; Program complex non efficacy outputs/figures; Develop and debug complex macros; Create, QC and update complex dataset specifications (including efficacy) for single/multiple studies; Review simple study design SAP without supervision; Review all shells without supervision and provide feedback
Requirements: Educated to BSc or above within Computer Science, Mathematics or a Science related discipline; SAS Programming Experience within the pharmaceutical industry; SAS Programming Experience within the pharmaceutical industry; Good awareness of clinical trial issues, design, and implementation

Duties: Here you find a list of all institutions (universities and companies) with direct links to their jobs site. This is to our knowledge the most comprehensive global list you will find. Additionally, you will find many jobs that are currently not advertised at www.acad.jobs or elsewise. This is useful, if you definitely want to work in a particular country
Requirements: If you are working in an institution that wants to be listed and if you are in charge, please contact us. Please contact us if a link is broken

Duties: Applications are accepted from academic experts in research areas including, but not limited to, the following: Artificial Intelligence, Avionics, Computer Vision, Data Science, Economics, Machine Learning, Optimization, Natural Language Processing, Quantum Computing, and Robotics; As an Amazon Scholar, your responsibilities may include: Advising business leaders on strategic plans; Diving deep to solve a specific technical problem in an organization’s roadmap, and; Advising junior researchers on methods
Requirements: PhD in a relevant field or related discipline; 7+ years of relevant work or academic experience; Experience leading technical research projects with multiple stakeholders; Current affiliation with an academic or research institution

Duties: Here you will find companies/institutions offering quantitative consulting (Mathematics, Statistics, Actuarial consulting, Data Mining, Econometrics, Operations Research, Bioinformatics & more). Please contact these companies directly
Requirements: Currently, we list the following companies: acad.jobs AG, AICOS Technologies AG, Alma | Life, Health and Pension AG, Actuarial and Risk Consulting Stoll GmbH, AT Analytics AG, Basycon Unternehmensberatung GmbH, Consult AG Statistical Services, Institut für Datenanalyse und Prozessdesign (Zürcher Hochschule für Angewandte Wissenschaften), Intuitive Collaboration AG, Keller Experten AG, Kellex AG, Libera AG, Systemorph AG

Duties: Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed; Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations; Build and prototype analysis pipelines iteratively to provide insights at scale
Requirements: 3+ years industry experience and advanced degree in quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience; Deep knowledge of experiment design and causal inference, strong analytical and causual reasoning mindset; Fluency in core set of Data Science, and SQL/Hive, R/Python, and ETL

Duties: Complete regular and ad-hoc experience study in cooperation with Data Administration and Pricing team. Ensures experience study works are appropriately documented with well control, and assists with identifying changing requirements and adapting to maintain compliance; Provide valuable suggestions for monitoring experience, setting actuarial assumptions and managing in-force business to serve needs of internal and external clients; Supports IFRS 17 implementation; Support to develop, maintain, and/or review actuarial models, methods and assumptions; Support US/China Statutory, Tax, and GAAP valuation work for assigned business; Support projections for financial planning and analysis and assists with communication of financial analytics and results in terms of major drivers of variance; Supports quarterly and annual filings
Requirements: ASA of SOA or equivalent; 4 to 7 years of actuarial work experience

Duties: Design, develop, and implement mathematical or statistical analysis for complex data sets involving multiple variables (some nested and some not); Prepare and present reports of findings including graphical displays and collaborate on the development of reports and manuscripts for peer-review and for statistical components of protocols for scientific or IRB review, to accurately summarize study design, methods, analysis plans and interpretation of results; Participate in the development of research study designs and conduct their analyses and sample size and power calculations; Ensure appropriateness and applicability of mathematical, statistical, or research techniques utilized, and contribute towards rigorous evaluation and validation; Participate in development of novel quantitative approaches, or customization of statistical methods per project needs; Identify areas giving rise to particular methodological challenges, search the (bio)statistical literature to generate solutions to ...
Requirements: Master degree in Statistics or Biostatistics or very closely related field, with major coursework in statistics; At least two years of statistical collaborative experience; Ability to perform descriptive data analysis, statistical modeling for univariate and multivariate data, clustered, longitudinal, and time-to-event data; Ability to search, read, vet and stay abreast of the (bio)statistical methodological literature. Interest in learning about preclinical studies; Excellent organizational and time-management skills