Associate Director, AI​/ML Engineering

Job Description

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission of inventing new medicines that save and improve lives. Core to the Data, AI, and Genome Sciences (DAGS) function is an AI/ML‑first approach to improving target and biomarker discovery, validation and selection, and elucidating complex disease mechanisms. As Associate Director, AI/ML Engineering, you will build state‑of‑the‑art AI/ML tools and pipelines to accelerate scientific discovery.

You will be part of a cross‑functional team of computational biologists, bioinformaticians, data scientists, software engineers and other AI/ML engineers that strive to identify therapeutic targets.

• Lead the design, development, deployment, monitoring, and maintenance of reusable software components that can be integrated into reliable/scalable AI/ML workflows, tools, and applications.
• Collaborate in a highly‑matrix environment to identify research questions, scope data requirements, and develop appropriate AI/ML solutions.
• Provide tactical and strategic technical support for AI/ML Researchers and Data Scientists.
• Stay up‑to‑date with the latest advancements in AI/ML research and operations to proactively propose innovative approaches aligned with industry standards that enhance our internal capabilities.

• PhD in Computer Science, Physics, Electrical Engineering, Biomedical Engineering, Bioinformatics, Computational Biology, Genetics/Genomics, or a related STEM field with 4+ years post‑graduate academic medical or industry experience.
• Masters with 7+ years of experience.
• Bachelors with 11+ years of experience.

• Engineer with a passion to focus relentlessly on the enablement of teammates with best‑in‑class tools and pipelines in a fast‑paced industry environment.
• Excellent communication/interpersonal skills and a team‑focused collaborative mindset.
• Self‑starter capable of leading projects independently.
• Experience with Python, Torch, AWS, MLFlow, Docker, Git Hub, and Git Hub Actions CI/CD workflows.
• Experience building/deploying/scaling novel AI/ML pipelines, particularly transformer‑based Foundation Models and representation learning to support downstream tasks.
• Experience with the full SDLC of maintaining Python Packages and Docker images following modern Dev Sec Ops  best practices.
• Willingness to learn from others and teach others.
• Interest in life sciences problems and how agentic Co‑scientist environments can accelerate discovery.
• Experience with multi‑omics and imaging data is nice to have.
• Experience with Claude Code, Databricks, and GCP is nice to have.

• Agile SDLC, Artificial Intelligence (AI), Biological Sciences, Cross‑Functional Collaboration, Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Foundation Models, Git Hub Actions, Life Science, Machine Learning (ML), Machine Learning Algorithms, Python Software Development, PyTorch, Software Development, Stakeholder Relationship Management, Teamwork, Transformer Model, Willingness to Learn.

• Amazon Web Services (AWS), Databricks Platform, Google Cloud Platform (GCP) for Machine Learning, Imaging Analysis, Omics.

As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities.

The salary range for this role is $ – $. Eligible candidates may receive annual bonus and long‑term incentive. We offer a comprehensive package of benefits, including medical, dental, vision, healthcare, retirement 401(k), paid holidays, vacation, and sick days. More information about benefits is available at

Hybrid – no travel required.