Biologics AI Innovation Director

AstraZeneca plc

Kendall Square (MA)

On-site

USD 260,000 - 420,000

Full time

6 days ago
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Job summary

AstraZeneca is seeking a Director of Biologics AI to lead AI innovation at the US R&D center in Cambridge, MA. You will define the AI strategy, own delivery across multiple programs, and shape data generation at scale, collaborating with computational and experimental teams and global partners.

The role emphasizes end‑to‑end ML lifecycle leadership, from data pipelines to deployment, with a focus on translating computational insights into experimental design and pipeline decisions.

Qualifications

  • PhD or equivalent with 8+ years post‑degree experience, or MS with 12+ years in quantitative field.
  • Proven AI/ML track record in proteins/biologics with translational impact.
  • Experience leading ML lifecycle at scale and cross‑functional teams.

Responsibilities

  • Define and drive the AI strategy for biologics discovery and engineering.
  • Lead cross‑functional discovery initiatives from framing to deployment.
  • Architect and guide advanced ML models (protein language, structure‑aware) for design and optimization.
  • Establish closed‑loop design‑build‑test‑learn workflows with wet‑lab teams.

Skills

AI strategy
Cross-functional leadership
Cloud ML workflows
PyTorch
TensorFlow

Education

PhD in computer science / ML / bioinformatics / computational biology / physics / chemistry / mathematics / engineering
Master's with 12+ years relevant experience

Tools

PyTorch
TensorFlow
Cloud platforms (AWS/GCP)

Job description

AstraZeneca is seeking a Director of Biologics AI to lead AI innovation at the US R&D center in Cambridge, MA. You will define the AI strategy, own delivery across multiple programs, and shape data generation at scale, collaborating with computational and experimental teams and global partners.

The role emphasizes end‑to‑end ML lifecycle leadership, from data pipelines to deployment, with a focus on translating computational insights into experimental design and pipeline decisions.

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