Associate Director, Data Science & AI Solutions

Key Responsibilities

• Build, deploy, and maintain advanced AI applications (custom RAG pipelines and agentic systems) and traditional analytics (forecasts, simulations, optimizations) for R&D quality challenges.
• Manage and scale operational analytics in enterprise platforms (e.g., Dataiku, Posit Workbench).
• Collaborate with GxP AI Governance Program to create compliant frameworks (regulatory requirements, validation playbooks, monitoring protocols).
• Translate complex AI concepts, models, and limitations for non-technical stakeholders.
• Partner with business leaders to identify operational challenges and propose high-value AI/data science use cases.
• Mentor QA team members; upskill on modern tech stacks, LLMs, and data literacy.
• Represent the company in cross-functional forums (e.g., IMPALA).

• BS/BA and 5+ years in pharmaceutical, biotech, or technology.
• 5+ years using Python, R, and advanced SQL to design/deploy ML, forecasting, or optimization models.
• Hands-on RAG architecture development, LLM API experience, and MLOps (Git/version control, monitoring, model maintenance).
• Dashboards (PowerBI/Spotfire) and foundational ETL/data structure knowledge.
• Cloud deployment familiarity (AWS, Azure, or GCP).
• Regulated GxP experience with exposure to software validation or AI governance.
• Excellent communication; global cross-functional collaboration; continuous learner.

• AI programming; data science/engineering/visualization; ETL; generative AI; LLMs; ML;
  Python;
  Git/version control; business/process modeling; stakeholder relationship management.

Not specified.

• annual bonus and long-term incentive (if applicable)
• medical/dental/vision
• retirement (401(k))
• paid holidays/vacation
• compassionate and sick days