Associate Director, AI/ML Engineering

About the role

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators to our mission of inventing new medicines that save and improve lives. As Associate Director, AI/ML Engineering, you will build state-of-the-art AI/ML tools and pipelines to accelerate scientific discovery within the Data, AI, and Genome Sciences (DAGS) function. You will collaborate with a cross-functional team of computational biologists, bioinformaticians, data scientists, software engineers, and other AI/ML engineers to identify therapeutic targets.

Responsibilities

• Lead the design, development, deployment, monitoring, and maintenance of reusable software components that can be integrated into reliable and 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.

Requirements

Education

One of the following credentials:

• 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.

Experience & Skills

• Passion for enabling teammates with best-in-class tools and pipelines in a fast-paced industry environment.
• Excellent communication and interpersonal skills with a collaborative mindset to support code-heavy AI/ML Engineers and Data Scientists.
• Ability to lead projects independently as a self-starter.
• Experience with Python, PyTorch, AWS, MLFlow, Docker, GitHub, and GitHub Actions CI/CD workflows.
• Experience building, deploying, and 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 DevSecOps best practices.
• Willingness to learn from others and teach others.
• Interest in life sciences problems and how agentic Co-scientist environments can accelerate discovery.

Preferred Skills

• Experience with multi-omics and imaging data.
• Experience with Claude Code, Databricks, and GCP.

Benefits

We offer a comprehensive package of benefits, including:

• Medical, dental, vision healthcare, and other insurance benefits for employee and family.
• Retirement benefits, including 401(k).
• Paid holidays, vacation, compassionate, and sick days.
• Annual bonus and long-term incentive, if applicable.

Pay

The salary range for this role is $159,600.00 - $251,200.00. An employee’s position within the salary range will be based on factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.

Schedule

• Flexible work arrangements: Hybrid.
• Relocation: Domestic.
• VISA sponsorship available.