Pharmacoepidemiologist

We offer an exceptional opportunity in the Basel region for an experienced Pharmacoepidemiologist seeking a new professional challenge within a leading global life science organisation.

Our client operates at the forefront of pharmaceutical innovation, advancing healthcare through Real World Data, epidemiological research and evidence-based safety strategies. As part of a dynamic scientific environment, you will contribute to shaping safer therapies and generating impactful data that influence key decisions across drug development and post-marketing safety.

We offer a new opportunity as: Pharmacoepidemiologist

In this Pharmacoepidemiologist role, you will support epidemiology activities within Global Safety & Risk Management, contributing to both simple and complex Real World Data (RWD) studies. You will design, conduct, analyse and interpret epidemiological research using claims databases, EHRs, registries and literature sources. This includes scientific oversight of non-interventional studies and close collaboration with clinical safety scientists to ensure the application of rigorous quantitative methodologies.

You independently perform secondary database analyses, develop research protocols and statistical analysis plans, and apply advanced analytical methods such as regression or propensity score matching. You design and maintain efficient R, Python or SQL programs, create clear visualisations using tools like R Shiny or RMarkdown, and contribute to cross-functional initiatives that advance methodological innovation.

This position is a 9-month maternity cover.

Your Profile

• A degree in Public Health, Epidemiology, Outcomes Research, Health Economics or a related scientific field; MSc or PhD in Epidemiology preferred
• Minimum 2 years of hands-on experience with Real World Data, non-interventional study design and analysis
• Strong understanding of epidemiological study designs and pharmacoepidemiologic strategies
• Proficient in R, Python, SQL, with experience in developing analytical workflows
• Familiarity with medical dictionaries such as MedDRA, SNOMED, ICD-10, CPT, HCPCS