Job Description Within DAGS, our AI/ML team drives innovation across disease areas by building biologically grounded and interpretable imaging pipelines. In Immunology, digital pathology plays a critical role in understanding tissue level immune mechanisms and supporting companion diagnostics. We are seeking a Senior Data Scientist with strong expertise in computer vision and biomedical imaging to develop scalable imaging foundation models and interpretable pipelines for immunology and oncology biomarker discovery. What You’ll Do - Develop and train imaging foundation models for histopathology, with a focus on immune‑relevant tissue and cellular patterns. - Build segmentation driven and cell‑centric pipelines (e.g., immune cell typing, spatial organization, microenvironment analysis). - Design interpretable modeling workflows that link image derived features to biological hypotheses and clinical endpoints. - Apply zero‑shot and weakly supervised learning methods to extract immune signals from H&E and IHC data. - Collaborate closely with immunologists, pathologists, and translational teams to ensure biological relevance and interpretability. - Support imaging biomarker development efforts, including applications toward companion diagnostics. - Contribute to platform level imaging strategies, QC standards, and best practices within DAGS. - Share findings through internal forums, publications, and scientific collaborations. You Should Have - 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 expertise in computer vision and medical image analysis and/or multimodal data. - Experience building and/or applying models for segmentation, detection, and representation learning, ideally in histopathology. - Familiarity with modern deep learning architectures (e.g., transformers, vision foundation models). - Proficiency in Python and deep learning frameworks such as PyTorch. - Strong interest in immunology and tissue‑based biomarker discovery. - Ability to communicate complex technical ideas to multidisciplinary scientific partners. Preferred Skills and Experience - Familiarity with clinical or translational imaging biomarker programs. - Publications in venues such as MICCAI, CVPR, NeurIPS, ISBI, or related journals. #EligibleforERP Required Skills: Biomedical Imaging, Computer Science, Computer Vision, Data Science, Data Segmentation, Deep Learning, Digital Pathology, Foundation Models, Image Analysis, Machine Learning (ML), Medical Imaging Analysis, Multimodal, Multimodal Analysis, PyTorch, Representation Learning, Transformer Model, Vision Transformer (ViT) Preferred Skills: Current Employees apply HERE Current Contingent Workers apply HERE US and Puerto Rico Residents Only: Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process. 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. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit: EEOC Know Your Rights EEOC GINA Supplement​ We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. Learn more about your rights, including under California, Colorado and other US State Acts The salary range for this role is $144,800.00 - $227,900.00 This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee’s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs. The successful candidate will be eligible for annual bonus and long-term incentive, if applicable. We offer a comprehensive package of benefits. Available benefits include medical, dental, vision