HEOR Statistician

Tata Consultancy Services

fulltime

Health Care Provider, Human Resources, and Other

5+ years

ROLE : HEOR Statistician

Required Qualifications

Education

PhD or MSc in Statistics, Biostatistics, Epidemiology, Health Economics, Mathematical Sciences , or a related quantitative discipline.

Experience

5–10+ years of relevant experience in HEOR, market access, biostatistics, or evidence synthesis.
Hands‑on experience conducting meta-analysis and network meta-analysis in pharmaceutical or consulting environments.
Proven experience supporting HTA submissions across major geographies (US, EU, UK, Canada, APAC preferred).

Technical Skills

Strong proficiency in R (preferred), SAS, STATA, WinBUGS/OpenBUGS, JAGS , or similar statistical software.
Experience with Bayesian hierarchical models and Markov Chain Monte Carlo (MCMC) methods.
Familiarity with evidence synthesis tools and workflows.
Knowledge of economic modeling interfaces with comparative effectiveness outputs.

Preferred Qualifications

Experience in rare diseases, oncology, immunology, or specialty therapeutics .
Exposure to advanced population adjustment methodologies (MAIC, STC).
Prior experience in HEOR consulting or global market access teams.

Understanding of real‑world evidence integration into comparative analyses

Key Responsibilities

Evidence Synthesis & Statistical Analysis

Design, conduct, and validate pairwise meta-analyses and network meta-analyses (Bayesian and frequentist frameworks) for comparative effectiveness and safety.
Perform indirect treatment comparisons (Bucher, matching-adjusted indirect comparison [MAIC], simulated treatment comparison [STC]) where head-to-head data are unavailable.
Develop and review analytical plans for meta-analysis and NMA aligned with HTA and regulatory expectations (e.g., NICE, CADTH, IQWiG, PBAC).
Assess and account for heterogeneity, inconsistency, bias, and model fit in evidence synthesis.

HEOR & Market Access Support

Generate comparative clinical inputs for cost-effectiveness models , budget impact models, and value frameworks.
Support Global Value Dossiers (GVDs), AMCP dossiers, HTA submissions , and payer submissions with statistically sound evidence.
Translate complex statistical findings into clear, decision-relevant insights for non-technical stakeholders.

Data & Methodology

Analyze clinical trial data, published literature, aggregated data, and RWE sources (registries, claims, EMR).
Conduct sensitivity analyses, scenario analyses, and validation exercises to ensure robustness of results.
Ensure methodological rigor and compliance with ISPOR, NICE DSU, Cochrane, and PRISMA guidelines.

Cross‑Functional Collaboration

Work closely with HEOR economists, epidemiologists, medical writers, and clinical teams.
Provide statistical input to systematic literature reviews (SLRs), protocol development, and study design.
Support internal and external stakeholder discussions, including HTA clarification responses.
Report Generation of Meta Analysis and Network Meta Analysis

Publications & Scientific Communication

Contribute to peer‑reviewed publications, congress abstracts, posters, and oral presentations .
Support response to reviewer comments and defend analytical choices.