Pharmacovigilance Data Analyst
StableAnalysing adverse event data to support drug safety surveillance and regulatory reporting
Pharmacovigilance Data Analyst Salary
United Kingdom
£35,000 – £65,000
United States
$62,000 – $108,000
Varies by location, sector, and experience. Last updated: 2025.
What Is a Pharmacovigilance Data Analyst?
A Pharmacovigilance Data Analyst collects, processes, and analyses adverse event data generated from clinical trials, post-market surveillance, and spontaneous reporting systems — supporting the regulatory obligation of pharmaceutical and medical device companies to monitor and report on the safety of their products throughout their lifecycle. The role applies data analysis and case processing skills to the specific evidence base of drug and device safety: individual case safety reports, aggregate safety data, signal detection outputs, and the regulatory submissions to bodies including the EMA, FDA, and MHRA that document a company's safety monitoring programme.
What distinguishes this role from a Clinical Data Manager is the post-market and safety-specific focus: Clinical Data Managers work on clinical trial data collection and governance during development; Pharmacovigilance Data Analysts work on safety data that spans the full product lifecycle — including the years of post-authorisation surveillance after a product reaches patients. The regulatory obligations are distinct: Good Pharmacovigilance Practice under EMA guidelines, ICH E2E, and MedDRA coding standards govern pharmacovigilance data rather than GCP. The role exists in pharmacovigilance departments of pharmaceutical companies, medical device manufacturers, and the contract research organisations that provide outsourced pharmacovigilance services.
What Does a Pharmacovigilance Data Analyst Do?
- Process and code individual case safety reports using MedDRA terminology for adverse events reported from clinical and post-market sources
- Validate and quality assure incoming adverse event data, identifying coding inconsistencies, missing fields, and regulatory compliance gaps
- Conduct aggregate safety data analysis to identify disproportionality signals and emerging safety trends across product exposure populations
- Prepare periodic safety update reports, development safety update reports, and signal assessment documentation for regulatory submission
- Maintain pharmacovigilance databases and safety systems, ensuring data completeness and audit trail integrity across the case management lifecycle
- Collaborate with pharmacovigilance physicians and regulatory affairs teams to support signal evaluation and risk management plan updates
Pharmacovigilance Data Analyst Skills
Hard Skills
- Pharmacovigilance Data Management
- MedDRA Coding
- Signal Detection
- Clinical Data Management
- Data Quality Management
- Regulatory Compliance
- Audit Management
- Data Governance
- Statistical Modelling
- Data Mapping
Soft Skills
- Attention to DetailMedDRA coding precision and case report completeness across individual adverse event submissions
- Documentation DisciplineAudit trail integrity and regulatory-ready records across the pharmacovigilance case lifecycle
- Analytical ThinkingIdentifying disproportionality signals and emerging safety trends from aggregate adverse event data
- CollaborationWorking with pharmacovigilance physicians and regulatory affairs teams on signal evaluation and risk management
- Risk AwarenessThe fundamental orientation of pharmacovigilance is identifying and managing product safety risk signals
- AccountabilityRegulatory reporting errors carry direct legal and reputational consequences for the organisation
Pharmacovigilance Data Analyst Tools & Software
How to Become a Pharmacovigilance Data Analyst
Typical Route
Most Pharmacovigilance Data Analysts hold a bachelor's degree in Pharmacy, Life Sciences, Biochemistry, or Statistics. Universities including the University of Michigan, Rutgers, and the University of North Carolina Chapel Hill offer pharmacy and life sciences programs with pharmacology and regulatory content relevant to pharmacovigilance careers. A master's degree in Pharmacovigilance, Drug Safety, or Regulatory Affairs is common and increasingly expected for specialist roles at US pharmaceutical companies and contract research organizations. Many practitioners enter from clinical research associate or medical information roles and develop signal detection expertise through direct experience at CROs and pharmaceutical employers.
Alternative Route
The Regulatory Affairs Professionals Society offers the RAC credential, the most widely recognised US qualification for regulatory affairs and pharmacovigilance practitioners. ICH E2E pharmacovigilance planning and MedDRA coding training are the technical foundations most valued by US CRO and pharmaceutical employers. The Drug Information Association's professional development programs provide structured domain entry for analysts transitioning from adjacent clinical or scientific roles. Coursera's clinical research and drug development specialisations provide accessible structured entry for career changers. A portfolio of adverse event case processing, signal detection reports, and PSUR or PBRER contribution experience carries the most weight for non-traditional candidates at US pharma and biotech employers.
A Day in the Life of a Pharmacovigilance Data Analyst
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Pharmacovigilance Data Analyst Career Path
Junior Pharmacovigilance Data Analyst
0–2 yrs
Pharmacovigilance Data Analyst
2–4 yrs
Senior Pharmacovigilance Data Analyst
4–7 yrs
Pharmacovigilance Data Lead
7–10 yrs
Head of Pharmacovigilance Data / Director of Drug Safety Analytics
10+ yrs
Pharmacovigilance Data Analyst Job Outlook
Pharmacovigilance is a consistent regulatory requirement across pharmaceutical and biotechnology companies, contract research organisations, and national medicines agencies — demand tracks drug portfolio volume and regulatory obligation rather than growing independently. ICH E2B and MedDRA standardisation continue to define the technical baseline, and EudraVigilance and FDA FAERS submission experience remains consistently valued. The shift toward signal detection at scale using structured data and statistical methods is raising the analytical bar. UK hiring is anchored in the South East pharmaceutical cluster and London; US demand concentrates in New Jersey, Boston, and major pharma hubs.