Responsibilities:
- Lead and provide statistical support (minimal supervision) to preclinical/non-clinical teams on all relevant statistical matters.
- Provide methodological and statistical input across preclinical/non-clinical studies; ensure accurate design/analysis for decision-making and regulatory compliance.
- Contribute to experimental design, study setup, data capture, statistical methodology/programming, and data analyses.
- Produce statistical analyses and documentation (planning/prioritization, application forms, analysis reports, statistical memos/reports) and communicate conclusions to scientists.
- Accountable for statistical operations: sample size/design of experiment (if applicable), randomization plan suitability/compliance (if applicable), and delivery of statistical methodology and reports.
- Accountable for statistical scientific content: select methodology, drive risk assessment (if applicable), interpret results, and perform exploratory/ad-hoc analyses.
- Coordinate with internal/external stakeholders (e.g., compliance, functional planner, project managers, CROs) and support activities such as integrated analyses and dossier preparation (IND/CTD) and publication.
- Cross-functional collaboration: work with junior statisticians/contingent workers; manage outsourced activities to CROs.
Qualifications:
- Masterβs in a relevant field with 4 years of Life Science industry experience OR PhD in a relevant field with 1 year.
Skills/Tools:
- Technical expertise in statistics, data science, and statistical modeling.
- Proficiency in R.
- JMP or other software (e.g., SAS or Phython) is a plus.
Soft/Language:
- Good communication; effective English (verbal/written).
- Teamwork, multi-cultural collaboration, time management, autonomous.
Benefits (if part of job description):
- High-quality healthcare; prevention/wellness programs; at least 14 weeks gender-neutral parental leave.