Director, AI Sciences

Core responsibilities:

• Collaborate with key stakeholders to set the technical strategy and roadmap for AI across the platform and drug discovery, then define execution plans and deliver against them.
• Lead, mentor, and grow the AI/ML team, fostering a focus on collaboration and delivery, while maintaining standards for quality and reproducibility.
• Partner with Data Infrastructure to optimize data schemas, metadata, versioning, and access controls for ML training and inference.
• Develop and deploy methods leveraging next-generation sequencing for target discovery and validation, imaging AI of histology images, and methods to accelerate target validation and drug development.

This role creates positive change by developing breakthrough medicines informed by natural somatic genetic diversity present in patients, forging a new status quo for biopharma research and development to create transformative medicines for patients with serious diseases.

Required skills and qualifications:

• PhD or equivalent experience in genomics, computational biology, computer science, or similar discipline is required.
• 3–7 years of industry experience delivering AI/ML systems for target discovery and/or drug development, with end-to-end ownership from method development to production.
• High proficiency in Python and modern ML tooling, cloud computing environments (e.g., AWS), as well as solid software engineering habits (testing, CI/CD, containers, etc.).
• Priority domain experience in genomics/NGS, imaging AI (microscopy/histology), and validation/drug discovery using AI tools.

No specific benefits, compensation, or perks mentioned in the job posting.