Job Description
Job Title:
Senior Research Consultant
Posting Start Date:
05/03/2026
Job Description:
Senior Research Consultant – Modeling and Meta-Analysis
Location: India - Mumbai or Bangalore
Job Summary
Our Senior Research Consultants are essential contributors to our team. They work across various projects and own specific projects, deliverables, and timelines. You will lead and coach people in a fast-paced, multi-disciplinary, international organization.
Essential Duties & Responsibilities
- Leading a team of junior and mid- level consultants on data analysis projects
- Reviewing project reports and other deliverables
- Adhering to project budgets and timelines
- Leading client interactions and outreach to ensure client satisfaction
- Leading requests for proposals and supporting the growth of the business through the development of strong client relationships
- Managing and mentoring staff members
- Developing, implementing, and maintaining internal processes and quality standards
- Keeping up to date with the latest developments in the field
- Disseminating and integrating new methods into the business
- Contributing to thought leadership and publications
Experience, Skills, and Qualifications
- Master’s Degree or PhD in any relevant science, such as health economics, econometrics, economics, pharmacy, epidemiology, statistics or medical sciences
- Highly experienced within the field of HEOR, with hands-on experience in trial data analysis and its context within health economic modelling, reimbursement dossiers, and health technology assessment submissions
- Experience with statistical software: R (version control, RMarkdown and Shiny would be an advantage), STAN (or equivalent MCMC simulation software).
- Experience with leading data analysis and/or evidence synthesis projects, including activities such as:
- Survival analysis, including flexible and innovative methods not limited to landmark survival analysis and methods for incorporating external data
- Utility analysis to inform health economic models
- Bespoke statistical modelling of clinical trial patient level data to inform health economic models
- Analysis of surrogate endpoints
- Bayesian network meta-analysis, including non-proportional hazard methods and meta-regression
- Population-adjusted indirect treatment comparisons, including matching-adjusted indirect comparison, simulated treatment comparison, and multi-level network meta-regression
- Intellectual curiosity and independence, to include the ability to self-start and self-teach
- Excellent communication skills (both written and verbal) along with the ability to question the status quo
- Ability to clearly communicate complex (statistical) methods to other team members and external stakeholders
- Proactive, responsive and able to balance shifting priorities
- Team player, but also able to work independently
- Strong organizational skills and attention to detail
- Full proficiency in MS Office programs: Excel, Word, PowerPoint