Associate Director, AI/Data Science
Biogen
July 01, 2026
Remote friendly (Cambridge, MA)
United States
IT
What You’ll Do
- Define and lead analytics/AI strategy using LLMs, GenAI applications, agentic workflows, and RAG-based solutions.
- Research, test, and implement new technologies, data sources, and AI/ML approaches for pharmacovigilance, regulatory submissions, quality, and clinical data insights.
- Establish AI governance, validation protocols, and responsible AI practices aligned with GxP and regulatory requirements.
- Collaborate with cross-functional R&D analytics groups to advance standards, innovation, and analytics governance.
- Present findings, model evaluations, and business impact to technical and non-technical stakeholders.
- Mentor and upskill junior staff in data science, GenAI/LLMs, prompt engineering, RAG architectures, and responsible AI practices.
Who You Are
- Strategic, hands-on data science leader who can deliver validated, compliant, high-impact solutions in regulated environments (travel <10%).
Qualifications
- Bachelor’s required; Master’s preferred in CS, math, statistics, computational biology, or related.
- 7+ years in biotech/pharma using data for R&D decision-making.
- Expert programming with Python, R, LLMs (or other languages) for large, complex, disparate data.
- Experience with LLM apps, prompt engineering, RAG pipelines, fine-tuning, and regulated life sciences AI.
- Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.
Benefits (examples)
- Medical, dental, vision, life; fitness reimbursement; disability; paid vacation + end-of-year shutdown; 401(k) match; employee stock purchase plan; tuition reimbursement (up to $10,000/year).
- Define and lead analytics/AI strategy using LLMs, GenAI applications, agentic workflows, and RAG-based solutions.
- Research, test, and implement new technologies, data sources, and AI/ML approaches for pharmacovigilance, regulatory submissions, quality, and clinical data insights.
- Establish AI governance, validation protocols, and responsible AI practices aligned with GxP and regulatory requirements.
- Collaborate with cross-functional R&D analytics groups to advance standards, innovation, and analytics governance.
- Present findings, model evaluations, and business impact to technical and non-technical stakeholders.
- Mentor and upskill junior staff in data science, GenAI/LLMs, prompt engineering, RAG architectures, and responsible AI practices.
Who You Are
- Strategic, hands-on data science leader who can deliver validated, compliant, high-impact solutions in regulated environments (travel <10%).
Qualifications
- Bachelor’s required; Master’s preferred in CS, math, statistics, computational biology, or related.
- 7+ years in biotech/pharma using data for R&D decision-making.
- Expert programming with Python, R, LLMs (or other languages) for large, complex, disparate data.
- Experience with LLM apps, prompt engineering, RAG pipelines, fine-tuning, and regulated life sciences AI.
- Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.
Benefits (examples)
- Medical, dental, vision, life; fitness reimbursement; disability; paid vacation + end-of-year shutdown; 401(k) match; employee stock purchase plan; tuition reimbursement (up to $10,000/year).