Data Scientist f Submission Data and Content Generation & Reuse (AIDCG) - Pharma R&D
Roche (company site, opens in a new tab)8–12 yrsHyderabadOn-siteDirect career pageEst. 35–55 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, development, and deployment of advanced AI/ML and agentic systems for Pharma R&D clinical submission data and content generation.
- Define and execute technical strategy, establish enterprise-wide AI/ML standards and governance in a regulated GxP environment.
- Mentor data scientists and collaborate with cross-functional teams to deliver scalable, compliant AI solutions impacting clinical and regulatory processes.
Minimum Requirements
- 8-12 years experience in Data Science, Machine Learning, Artificial Intelligence, or related advanced analytics domains.
- Master's or PhD in Data Science, Computer Science, Statistics, AI, Bioinformatics, Mathematics, or related quantitative discipline.
- Expertise in Generative AI, Large Language Models, multi-agent AI frameworks, GraphRAG, and AI platform engineering.
- Experience working in regulated environments (Pharma, Healthcare, Life Sciences) preferred.
Ideal Candidate Profile
- Senior-level AI/ML expert with proven leadership in end-to-end enterprise AI/ML initiatives delivering measurable business impact in pharmaceutical R&D contexts.
- Strong background in developing compliant, scalable AI architectures and agentic systems handling large structured and unstructured clinical and regulatory datasets.
- Experienced in mentoring technical teams, collaborating with senior business and clinical stakeholders, and setting technical strategy in regulated, compliance-driven environments.