Applied AI/ML Scientist for Biomedical Discovery

Pfizer; Cambridge (MA); On-site; USD 180,000 - 250,000; Full time

Job summary

Pfizer is seeking an Applied AI/ML scientist to lead the development and deployment of AI across the Internal Medicine Research Unit (IMRU). The role blends ML, biology, and drug discovery to create reusable AI capabilities, govern AI evaluation, and accelerate evidence generation within AIM2 Discovery Center.

The candidate will guide governance, translate scientific needs into reusable AI solutions, and collaborate with cross-functional teams to ensure scalable, trustworthy AI adoption across

Qualifications

• Advanced degree in computer science, machine learning, computational biology, bioinformatics, statistics, or related field.
• Experience leading complex, cross-functional AI initiatives.
• Hands-on understanding of LLMs and foundation models with ability to guide decisions.

Responsibilities

• Provide AI/ML technical leadership for AIM2 and IMRU.
• Identify high-impact use cases and advance reusable AI capabilities.
• Governance, evaluation, provenance, guardrails for AI-built capabilities.
• Collaborate with internal teams and external partners to align AI efforts with Pfizer priorities.
• Build a culture of scientific rigor, reproducibility, and practical utility.

Skills

LLMs

Foundation models

Generative AI

Machine learning

Technical leadership

Communication

Education

Advanced degree in CS/ML/comp bio/biostatistics or related

5+ years with a Master’s, 6+ with Bachelor’s, or 1+ with PhD

Job description

Pfizer is seeking an Applied AI/ML scientist to lead the development and deployment of AI across the Internal Medicine Research Unit (IMRU). The role blends ML, biology, and drug discovery to create reusable AI capabilities, govern AI evaluation, and accelerate evidence generation within AIM2 Discovery Center.

The candidate will guide governance, translate scientific needs into reusable AI solutions, and collaborate with cross-functional teams to ensure scalable, trustworthy AI adoption across