Health Economist

3 days ago


Kanpur, Uttar Pradesh, India beBeeHealthEconomist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Unlock New Horizons in Health Economics & Outcomes Research

About the Role:

We are seeking a skilled professional to spearhead observational database analytics and evidence synthesis. This position demands strong scientific and methodological expertise, with minimal supervision.

  • Contribute to high-quality internal RWE databases studies/analyses, including objectives, study design, data source identification, protocol development, statistical analysis, and interpretation.
  • Execute RWE studies/analyses by leveraging SAS, claim databases, EMR databases, registry data, and public used files.
  • Deliver high-quality deliverables (e.g., data tables, graphs, charts, study reports).
  • Develop mock table shells, prepare specifications, and ensure quality control on analyses conducted by junior programmers.
  • Effectively manage and track all studies/analyses to ensure timely delivery and stakeholder awareness.
  • Communicate research findings internally and externally, as appropriate (e.g., congresses, publications).
  • Stay up-to-date with latest methodologies and analytical techniques.
  • Contribute to the continuing education of relevant line functions on RWE methodologies.
Requirements:
  • Minimum MS in statistics, biostatistics, epidemiology, health economics, outcomes research, health policy, or similar.
  • At least 2 years' hands-on experience in observational data studies.
  • Professional programming skills with SAS. SQL and R programming experience are plus.
  • Excellent interpersonal communication and study management skills.
  • Ability to effectively communicate technical results to non-technical audiences.
  • Ability to work effectively in a dynamic, diverse environment.
  • Ability to identify new opportunities and solutions.
  • Strong working knowledge of Microsoft Office Suite (Word, PowerPoint, Excel).
Qualifications:
  • Positive attitude and problem-solving skills.
  • Solid programming and analytical skills.
  • Good communication skills.
  • Great time and task management skills.
  • Quick learning capability and self-motivation.
  • Team player.