AI-Driven Clinical Workflow Scientist

Pfizer; United States; Hybrid; USD 150,000 - 240,000; Full time

Job summary

Pfizer seeks a clinician‑scientist to drive practical AI: applying LLMs and agentic AI across the Inflammation & Immunology portfolio, building reusable workflows, and ensuring adoption and impact in day‑to‑day scientific work.

The role bridges clinical development and clinical omics, with emphasis on study design, data review, and regulatory readiness, plus collaboration with biostatistics and translational teams to translate results into development decisions.

Qualifications

• Hands-on use of LLMs, agentic AI, or workflow automation in scientific work.
• Experience supporting clinical development, clinical operations, or regulatory science with GCP knowledge.
• Ability to translate ambiguous needs into practical AI solutions and collaborate across domains.

Responsibilities

• Identify high-value, repeat-use AI use cases in I&I; design, build, and refine reusable AI tools.
• Collaborate with clinical scientists, operations, biostatistics, and translational teams to define fit-for-purpose solutions.
• Work across the Digital ecosystem to prevent duplication and promote platform reuse.
• Apply rigorous evaluation, documentation, guardrails, and human oversight for AI workflows touching regulated data.
• In near term, focus on clinical execution; later extend to clinical omics and translational data.
• Raise AI fluency among collaborators by demonstrating practical workflows and trade-offs.

Skills

LLMs experience

Agentic AI

Workflow automation

Clinical development experience

Collaboration and communication

Education

PhD with 1+ years of experience OR Master's with 5+ years OR Bachelor's with 6+ years (advanced degree in clinical life‑science or computational field preferred)

Tools

Python

Job description

Pfizer seeks a clinician‑scientist to drive practical AI: applying LLMs and agentic AI across the Inflammation & Immunology portfolio, building reusable workflows, and ensuring adoption and impact in day‑to‑day scientific work.

The role bridges clinical development and clinical omics, with emphasis on study design, data review, and regulatory readiness, plus collaboration with biostatistics and translational teams to translate results into development decisions.