Overview In this role you will lead the development and deployment of scalable digital pathology workflows and AI-enabled image analysis for oncology biomarkers. You'll work with cross-site teams to advance HALO AI workflows and RareCyte Orion pipelines, translating image outputs into actionable biological insights. The position emphasizes cross-functional collaboration, innovation in tissue imaging, and delivering robust, reproducible analyses for translational projects. This is a chance to shape image-based biomarker strategies across Cambridge and Basel within a leading oncology research program.
Compensation / Benefits- health, life and disability benefits
- 401(k) with company contribution and match
- equity eligibility (depending on level)
- generous vacation and leave
- performance-based incentive
- comprehensive benefits package
Responsibilities- Develop and deploy scalable workflows for whole-slide pathology data acquisition, processing, analysis, and interpretation
- Apply AI/ML and quantitative image analysis to biomarker and translational questions in human and preclinical samples
- Provide expertise in digital pathology, spatial analytics, and AI-enabled biomarker quantification across oncology programs
- Evaluate emerging computational imaging approaches to strengthen biomarker capabilities and data delivery
- Serve as SME for HALO and HALO AI, driving cross-site harmonization between Cambridge and Basel
- Establish robust, reproducible analytical processes and improve data organization and sharing across teams
- Build and optimize AI/ML models for whole-slide, multiplexed, and high-plex tissue imaging
- Develop pipelines for RareCyte Orion high-plex data and integrate with translational datasets
- Engage with multidisciplinary teams to design, analyze, and interpret tissue-based studies
Key requirements- PhD or MS in biology, bioinformatics, biomedical engineering, computational biology, data science, pathology, or a related field
- Minimum 5 years of industry experience
- Significant experience in digital pathology, computational image analysis, imaging data science, translational oncology, or tissue-based biomarker research
- Expertise with HALO and development of AI/ML models for tissue images
- Proven success applying advanced imaging solutions to pathology workflows, including high-resolution whole-slide datasets
- Strong understanding of tissue-based biomarker development, oncology biology, and translational research
- Strong organizational, communication, and problem-solving skills; ability to engage stakeholders and drive next steps
- Ability to work in multidisciplinary, matrixed teams
- collaborative
- strong communication
- problem-solving
- HALO
- HALO AI
- AI/ML for tissue images
