Senior Data Scientist, Epidemiology & RWE Analytics - FSP
IQVIA · Dublin, Ireland · Global
Clinical Data Science
–
Not yet analysed
Demand78
Career growth80
Healthcare fit70
Remote potential60
5-year outlook
Senior RWE/data science roles in pharma services tend to pay competitively relative to clinical salaries, with progression toward principal scientist, analytics lead, or RWE strategy roles. Exact figures vary by geography and client model and are not stated here.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
–
Date found
2026-10-20
Intelligence details
Why this is worth applying to
Worth considering for clinicians who already have epidemiology, outcomes research, or statistical programming experience and want to move into evidence generation. Clinicians without data science or observational research exposure will likely find the senior bar difficult to clear.
Who should apply
Physicians and pharmacists with epidemiology, pharmacoepidemiology, outcomes research, or biostatistics training; clinical researchers with registry, claims, or EHR dataset experience; healthcare graduates with strong statistical programming and observational study portfolios.
CV angle
Reframe real clinical and research work as evidence generation: highlight study design, cohort or registry involvement, protocol development, dataset handling, statistical software use, publication or regulatory outputs, and any cross-functional collaboration with biostatistics or medical affairs. Quantify data volumes, study scope, and decision impact without overstating technical depth.
Skills to highlight
- Observational study design
- Epidemiological methods
- Statistical programming (R/SAS/Python)
- Claims or EHR real-world data analysis
- Causal inference
- Clinical and disease-area knowledge
- Cross-functional stakeholder communication
- Scientific writing and publication
Role summary
A senior data science position within IQVIA's FSP model focused on epidemiology and real-world evidence analytics — designing and executing observational analyses on healthcare data to support life sciences clients' evidence and regulatory needs.
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