Senior Data Scientist – Computer Vision & Biomedical Imaging

Senior Data Scientist – Computer Vision & Biomedical Imaging (Digital Pathology and Spatial Omics)

Our Artificial Intelligence Machine Learning (AI/ML) capabilities are critical accelerators toward inventing new medicines that save and improve lives. As Senior Data Scientist for Foundation Model, you will develop, train, and implement advanced AI/ML methodologies to identify disease biology from large‑scale biological and imaging data.

• Design, develop, train, and implement novel ML algorithms—particularly transformer‑based Foundation Models—for target discovery using large‑scale biological and imaging data.
• Rapidly prototype and iterate model architectures using real‑world data.
• Integrate multimodal data (e.g., histology, spatial omics) into scalable learning frameworks.
• Collaborate with biologists and data scientists to define modeling goals and interpret results.
• Contribute to our long‑term AI/ML strategy for drug discovery
  .
• Publish research findings in relevant conferences and journals; actively contribute to the scientific community through knowledge sharing and collaborations.

• PhD in Computer Science, Engineering, Data Science, AI/ML, Bioinformatics, Computational Biology, Genetics & Genomics, Mathematics, Statistics, Physics, Pharmaceutical Science, or related STEM field with 0+ years postdoctoral experience or Master’s degree with 4+ years of industry experience.
• Strong background in deep learning
  , digital pathology
  , computer vision, and/or medical image analysis.
• Experience with large‑scale model development and training (e.g., CNNs, transformers, contrastive/self‑supervised learning).
• Strong expertise and experience in modern AI/ML approaches, transformer‑based Foundation models, representation learning, and related methodologies.
• Proficiency in programming languages such as Python, and experience with deep learning frameworks and libraries like PyTorch.
• Interest in life sciences problems and disease biology; willingness to learn from and teach others.
• Excellent communication skills and ability to work collaboratively in a multidisciplinary team.

• Familiarity with life science data is a plus.
• Relevant publications in scientific journals and experience contributing to research communities (e.g., NeurIPS, ICML, ICLR).
• Exposure to spatial transcriptomics or multi‑modal biomedical data.

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. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit EEOC Know Your Rights and EEOC GINA Supplement.

Effective September 5, 2023, employees in office‑based positions in the U.S. will be working a hybrid schedule of three total days on‑site per week, Monday‑Thursday, with Friday designated as a remote‑working day, unless business‑critical tasks require on‑site presence. This model does not apply to field‑based, facility‑based, manufacturing‑based, research‑based positions, or positions covered by a collective‑bargaining agreement where remote work is not feasible.

Salary range: $ – $. The employee’s position within the range will be based on education, qualifications, certifications, experience, skills, geographic location, and business needs.

Benefits include medical, dental, vision, retirement (401(k)), paid holidays, vacation, compassionate and sick days. More information about benefits is available at

Apply for this role through  The Final date to receive applications for this position is stated on this posting.

San Francisco Residents Only:
We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance.

Los Angeles Residents Only:
We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance.

Job Posting End Date: 01/22/2026. A job posting is effective until 11:59:59 PM on the day before the listed job posting end date.