Purpose
The role of the Principal Statistician is to provide leadership and expertise in the statistical components of real-world evidence (RWE) to Veramed’s clients across a range of projects, clients and therapeutic areas.
Key Responsibilities
The Principal Statistician (RWE) will be responsible for taking the lead on the development of statistical analysis plans, providing significant input into protocols and leading analyses of RWE studies that employ anonymised patient-level data derived predominantly from electronic health records (EHRs) and medical claims datasets. They will have a deep understanding of both the perks and challenges of using RWE data, with a particular focus on how and whether causal conclusions can be drawn.
The Principal Statistician (RWE) is expected to both lead work projects but also to work independently (including carrying out QC checks on their own deliverables and interim outputs). The Principal Statistician (RWE) will, additionally, be expected to review outputs from other colleagues, typically those more junior to them,



and to provide advice on process improvements if any errors (whether one-off or systematic) are found in other peoples’ work.
Technical
• Determine and use the most appropriate statistical analysis techniques including hypothesis testing, logistic & linear regression, mixed models, pattern mixture models for handling missing data, formal statistical techniques for measuring missingness (MCAR, MNAR etc) and propensity score methods (matching, weighting)
• Conduct survival analysis such as Kaplan-Meier curves, Cox proportional hazards models
• Conduct meta-analysis techniques including literature reviews and network meta-analysis.
• Provide expertise gained from hands-on experience with EHRs, claims data and patient registries (US/European/Japanese etc)
• Provide skills in data privacy, small number rules, and healthcare system context
• Carry out data management activities such as: Large dataset handling: document

📌 Principal Statistician (India)
🏢 Veramed
📍 India