Principal Data Scientist – DDSAI GD
Johnson & Johnson (company site, opens in a new tab)5+ yrsHyderabadHybridDirect career pageEst. 30–50 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end definition, development, validation, deployment, and adoption of data-science solutions for clinical development and trial operations business problems.
- Lead predictive modeling, simulations, optimization, and GenAI applications supporting study feasibility, enrollment forecasting, site selection, protocol design, and operational planning.
- Collaborate with cross-functional stakeholders to translate data insights into actionable recommendations and measurable outcomes, ensuring adherence to model validation, MLOps, and responsible AI standards.
Minimum Requirements
- Master’s degree in computer science, engineering, biostatistics, health economics, biomedical informatics, applied mathematics, or related quantitative field; PhD preferred.
- Minimum 5 years of industry experience leading end-to-end delivery of data-science solutions using ML, predictive modeling, optimization, NLP, GenAI, or RWD analytics.
- Proficiency in Python, SQL, modern ML/optimization/LLM libraries, and reproducible MLOps practices.
- Experience working with structured and unstructured clinical, operational, or real-world data including multimodal modeling and simulation methods.
Ideal Candidate Profile
- Experienced in clinical development, clinical operations, or real-world evidence data science, especially within healthcare or pharmaceutical sectors.
- Proven capability to deliver and drive adoption of analytical products or applications used by clinical or business teams.
- Strong technical leadership and communication skills to manage stakeholders and mentor junior colleagues effectively.