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Global pharma brand, mid-level ML/GenAI role in Hyderabad with broad requirements increases applicant competition.
Requires biopharma clinical trial, RWE, and HIPAA-aware experience, reducing cross-industry transferability.
Explicit 5+ years plus required clinical trial, ML/MLOps and GenAI experience enforces strict shortlisting.
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Design, develop, and deploy advanced ML and AI solutions including predictive models and AI-driven clinical workflows to support clinical development.
Conduct rigorous statistical analyses and exploratory data analysis on clinical datasets such as trial data, EHR/EMR, and real-world evidence to generate actionable insights.
Collaborate with clinical and operational stakeholders to define project goals, translate complex problems into structured analytics, and present findings to cross-functional teams.
5+ years of progressive data science or ML engineering experience, preferably with exposure to biopharma, pharma, or clinical research.
Bachelor's, Master's, or Ph.D. in Data Science, Statistics, Biostatistics, Computer Science, or related discipline.
Strong proficiency with Python, PySpark, or R and experience with clinical trial data, EHR/EMR, or real-world data sources in regulated environments.
Practical working knowledge of AI/GenAI technologies including LLMs, RAG frameworks, Agentic AI, and prompt engineering.
Experienced in delivering end-to-end analytical or machine learning solutions within clinical development or biopharma contexts, comfortable working on moderately complex to complex scientific problems independently.
Capable of applying MLOps and software development lifecycle best practices, including cloud platforms (AWS/Azure), big data technologies, and version control tools at scale.
Skilled at stakeholder engagement—able to communicate technical findings clearly to both technical and clinical audiences and contribute to data governance and regulatory compliance.