Associate Director, AI/Data Science
Biogen
July 01, 2026
Remote friendly (Triangle, NC)
United States
IT
Associate Director, AI/Data Science
What You’ll Do
- Define and lead analytics and AI strategy using modern methodologies, including 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 of AI-enabled solutions 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 translate emerging AI capabilities into validated, compliant, high-impact solutions.
- Travel expected to be less than 10%.
Qualifications
- Bachelor’s degree required; master’s degree preferred in computer science, mathematics, statistics, computational biology, or a related field.
- 7+ years of experience in a biotechnology or pharmaceutical organization using data to support R&D decision-making.
- Expert programming skills with Python, R, LLMs, or other languages for large, complex, disparate data sources.
- Experience developing LLM applications, prompt engineering, RAG pipelines, fine-tuning approaches, and AI solutions for regulated life sciences settings.
- Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.
What You’ll Do
- Define and lead analytics and AI strategy using modern methodologies, including 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 of AI-enabled solutions 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 translate emerging AI capabilities into validated, compliant, high-impact solutions.
- Travel expected to be less than 10%.
Qualifications
- Bachelor’s degree required; master’s degree preferred in computer science, mathematics, statistics, computational biology, or a related field.
- 7+ years of experience in a biotechnology or pharmaceutical organization using data to support R&D decision-making.
- Expert programming skills with Python, R, LLMs, or other languages for large, complex, disparate data sources.
- Experience developing LLM applications, prompt engineering, RAG pipelines, fine-tuning approaches, and AI solutions for regulated life sciences settings.
- Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.