Data Scientist (US Value & Access Insights)
LifelancerHyderabad, Telangana, India
Posted May 27, 2026
Full Time
About the Company
Lifelancer is an AI-powered talent marketplace that connects life‑science, pharmaceutical, health‑tech, and IT employers with a global pool of freelance, remote, and local experts. The platform streamlines recruitment by matching companies with over 50,000 specialists across biotech, biopharma, digital health, and related fields. In addition to talent sourcing, Lifelancer partners with leading providers to deliver end‑to‑end hiring‑compliance and payroll solutions for international engagements. By combining advanced AI matching, industry‑specific expertise, and comprehensive compliance support, Lifelancer empowers life‑science organizations to scale talent acquisition efficiently and globally.
Job Description
As a Data Scientist, you will develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to uncover structure in large data sets, creating analytics solutions to address customer needs and opportunities. The role involves working on upgrades and managing the execution of Proprietary AI engine built to optimize Copay and other GTN initiatives.
Requirements
- Master’s degree and 1 to 3 years of computer science, statistics or STEM majors with a minimum of 1 year of Information Systems experience
- Bachelor’s degree and 3 to 5 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience
- Diploma and 7 to 9 years of computer science, statistics or STEM majors with a minimum of 2 years of Information Systems experience
- Experience with one or more analytic software tools or languages like R and Python
- Foundational understanding of US pharmaceutical ecosystem and Patient support services offerings (Copay) and other standard data sets including claims, prescription
- Strong foundation in machine learning algorithms and techniques
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
Benefits
- Competitive and comprehensive Total Rewards Plans
- Collaborative culture
- Professional growth and well-being