Key Responsibilities
- Conduct comprehensive secondary research across Pharma, Biopharma, and MedTech sectors by extracting, analyzing, and synthesizing information from free public sources such as EDGAR, FDA, PUBMED, clinicaltrials.gov, and proprietary databases like Evaluate Pharma, Global Data, IQVIA, CiteLine, etc.
- Gather competitive intelligence to support client engagement and generate valuable market insights.
- Stay updated on industry developments, regulatory changes, and technological advancements in the life sciences sector to align recruitment strategies accordingly.
- Collaborate with cross‑functional teams to contribute to strategic projects and assist in generating actionable recommendations.
- Prepare comprehensive reports and presentations summarizing research findings, competitive landscapes, and market opportunities.
- Assist in the development of data‑driven insights to support strategic decision‑making for clients.
- Condense and synthesize data into clear, actionable insights for client‑facing deliverables.
Qualifications
- Master’s degree in business administration, economics, biotechnology, biomedical engineering, public health, or other life‑science related fields with a minimum CGPA of 9.5/10.
- PhD in a life‑sciences related discipline is highly appreciated.
- GMAT score of 720/800 or equivalent standardized test score.
- Valid certification in Artificial Intelligence (AI).
Experience
- 4+ years of experience in Pharma/Biopharma/MedTech market research and competitive intelligence, forecasting, and modelling.
Skills
- Familiarity with a wide range of secondary research methodologies and data analysis techniques.
- In‑depth knowledge of the Pharma/Biopharma/MedTech industry, including key players, products, and market trends.
- Proficiency in market research tools, data visualization software, and MS Office Suite (Excel, PowerPoint, Word).
- Excellent analytical, critical‑thinking, and problem‑solving skills with acute attention to detail.
- Effective communication and presentation abilities, both written and verbal.
- Ability to work independently and efficiently in a fast‑paced, deadline‑driven environment.
- Ability to apply AI‑driven analytics to address diverse challenges in the life‑sciences sector.
- Skilled in deploying AI‑based solutions to improve data utilization, segmentation, and personalized insights.
- Strong background in integrating and managing complex datasets using automated tools.
- Familiarity with AI‑enabled platforms for research, business intelligence, and strategic planning.
- Experience using machine‑learning techniques for trend analysis, forecasting, and strategic problem‑solving.
Work Location
Empire Tower, Airoli, Navi Mumbai.
Compensation
Competitive compensation based on the candidate’s experience.
Employment Type
Full‑time, Work from Office (No hybrid or Work from home options available).