Principal Data Scientist – DDSAI GD
Johnson & Johnson (company site, opens in a new tab)5+ yrsHyderabadHybridDirect career pageEst. 30–55 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end delivery of integrated data-science solutions addressing clinical-development and trial-operations problems using ML, GenAI, optimization, and RWD.
- Develop predictive models, simulations, and GenAI applications for study feasibility, enrollment forecasting, protocol design, and operational planning.
- Partner with stakeholders to translate analytical outputs into adopted recommendations and measurable outcomes, ensuring model validation, reproducibility, privacy, and responsible AI standards.
Minimum Requirements
- Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or related quantitative discipline; PhD preferred.
- Minimum 5 years industry experience leading end-to-end delivery of data-science solutions involving ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics.
- Proficiency with Python, SQL, ML libraries, LLM development, and MLOps practices.
- Work Experience Required: At least 5 years of relevant industry experience.
Ideal Candidate Profile
- Experienced in healthcare, pharmaceutical development, MedTech, clinical development, or clinical operations domain.
- Skilled in applying RWD methods to clinical trial design such as target-trial emulation, propensity methods, survival and time-to-event analysis.
- Technically strong in deploying analytical products for clinical or business teams combined with leadership and stakeholder management capabilities.