Associate Director, AI/Data Science

Biogen•Cambridge, MA

3d•$176,000 - $242,000•Remote

About The Position

Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic adoption of advanced analytics, machine learning, and generative AI across pharmacovigilance, regulatory, quality, and clinical data operations. This role will shape data science strategy, develop and evaluate AI/ML solutions, and partner across research & development leaders to transform how data is used to improve decision-making, operational efficiency, patient safety, and compliance in a regulated life sciences environment.

Requirements

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 applied to large, complex, and 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.

Nice To Haves

The ideal candidate is a strategic, hands-on data science leader who can translate emerging AI capabilities into validated, compliant, high-impact solutions.
They bring strong technical depth in GenAI and advanced analytics, sound judgment in regulated environments, and the communication skills to align stakeholders across medical safety, regulatory, quality, clinical, and technology functions.

Responsibilities

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.

Benefits

Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation