Trinity Life Sciences is hiring for an Associate position in Gurgaon, India. The role focuses on health economics and outcomes research (HEOR), quantitative analysis, health economic modelling, literature reviews, statistical analysis, and development of Excel-based analytical models.
Job Details
| Job Details | Information |
|---|---|
| Company | Trinity Life Sciences |
| Position | Associate |
| Location | Gurgaon, India |
| Job Type | Full Time |
| Job Requisition ID | JR100568 |
Position: Associate
The Associate will support health economic modelling and quantitative analysis across HEOR projects. The role involves developing and adapting analytical models, conducting literature reviews, analyzing evidence, maintaining Excel-based models, and supporting technical documentation and quality control.
Key Responsibilities
- Support the development and adaptation of health economic models, including cost effectiveness, cost utility, budget impact, cost consequence, burden of illness, and related analytical models.
- Assist with model conceptualization, structure selection, parameter mapping, input population, scenario analysis, and uncertainty analysis under the guidance of senior team members.
- Conduct targeted and systematic literature reviews to identify clinical, epidemiological, utility, cost, resource use, and treatment pathway inputs for model development.
- Apply statistical and quantitative methods to analyze clinical trial data, observational evidence, published studies, and other evidence sources relevant to HEOR projects.
- Develop, review, and maintain Excel-based model workbooks with clear formulas, transparent assumptions, version control, and quality checks.
- Support survival analysis, extrapolation, transition probability estimation, evidence synthesis, and other biostatistical tasks where required by project scope.
- Prepare technical documentation, model specification notes, validation trackers, input tables, assumptions logs, and client-ready summaries.
- Contribute to quality control by checking model logic, consistency of inputs and outputs, source traceability, numerical accuracy, and alignment across reports, slides, and model files.
- Collaborate with teams across Evidence Strategy, Market Access, Value, Access and Pricing, Real World Evidence, and broader consulting teams.
- Translate quantitative findings into clear messages supporting payer, HTA, publication, and client strategy deliverables.
Eligibility & Qualifications
Candidates should have one of the following qualifications:
- M.Stat
- M.Sc. Statistics
- M.Sc. Biostatistics
- A closely related quantitative degree from a recognized institute.
Required Skills
Candidates should have a strong foundation in:
- Probability
- Statistical inference
- Regression methods
- Survival analysis
- Study design
- Interpretation of quantitative evidence
- Health economic modelling
- Statistical and quantitative analysis
- Excel-based modelling
Application Details
