Drimva

AstraZeneca

Associate Director, Clinical AI Translation & Solutions

$145K–$217K

US - Cambridge Kendall SQ - MA · Director · Full-time · Posted Oct 15, 2026

Experience
4 to 7 years of post-PhD (or equivalent) experience.
Education
PhD in Computer Science, Machine Learning, Statistics, Biomedical Informatics, Computational Biology, or a related quantitative discipline; or an MD, master’s degree, or equivalent experience supported by a strong computational track record.

About the job

Leads discovery, development, evaluation, and deployment of clinical AI workflows, translating clinical operations needs into safe, measurable, reusable software.

What you'll do

  • Own clinical AI workflows from discovery through deployment, adoption, and benefit measurement.
  • Prototype and deliver AI systems with engineers, including agentic workflows with human review and fail-safe behavior.
  • Partner with clinical, data, quality, regulatory, privacy, security, and IT teams on evaluation, governance, and compliant delivery.

What they ask for

  • PhD in a related quantitative discipline, or an MD, master’s degree, or equivalent experience supported by a strong computational track record.
  • 4 to 7 years of post-PhD (or equivalent) experience delivering applied AI/ML or data products, including in healthcare, life sciences, clinical research, or another high-consequence domain.
  • Hands-on Python and SQL skills, with experience using version control, tests, APIs, data pipelines, and modern cloud or containerized environments.
  • Experience building or deploying LLM-based or agentic systems, including retrieval, tool use, structured outputs, workflow orchestration, and human review.

Nice to have

  • Direct experience with clinical trials or related pharmaceutical, biotech, CRO, or health-system work.
  • Working knowledge of GCP and GxP computerized-system validation.

Pay

$144,648.8 to $216,973.2 USD (base salary)

Tools

Python, SQL, LLM-based systems, APIs, CTMS, EDC, eTMF, EHR

AI focus

Build and deploy clinical AI and agentic workflows, with human review, trustworthy AI safeguards, evaluation, and measurable clinical and operational outcomes.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)