Senior Principal Scientist​/Assoc Director, Oncology Translational Research

pBand Level 5

Job Description Summary

Location:

Cambridge LI#Onsite The Oncology Pathology and Biomarkers group within Oncology Translational Research at Novartis Biomedical Research is seeking an accomplished Imaging Scientist to join the Image Analysis team in Cambridge. This role is for a scientific and technical leader with expertise in digital pathology, computational image analysis, AI/ML, and tissue-based oncology biomarkers. The successful candidate will develop and support scalable workflows for whole-slide pathology and multiplexed tissue imaging data.

The position will expand OPB’s AI-enabled image analysis capabilities and deliver scalable solutions for digital pathology and translational biomarker assessment across oncology programs. The scientist will support spatial analysis of tumor samples, help establish pipelines for Rare Cyte Orion high-plex imaging data, and strengthen harmonized HALO AI workflows across Cambridge and Basel. /p igital Pathology and Imaging Strategy

liDevelop and deploy scalable workflows for pathology whole-slide image acquisition, processing, analysis, and interpretation /li liApply AI/ML and quantitative image analysis to address biological, translational, and biomarker questions in human and preclinical samples /li liProvide expertise in digital pathology, spatial analytics, and AI-enabled biomarker quantification across oncology programs /li liEvaluate emerging computational imaging approaches that strengthen OPB biomarker capabilities and decisional data delivery /li /ul ALO AI Support and Cross-Site Harmonization
liServe as a subject matter expert for HALO and HALO AI workflows and drive harmonization across Cambridge and Basel /li liBuild robust, reproducible, and well-documented analytical processes that improve operational resilience and cross-site consistency /li liImprove image data organization, sharing, and best practices to support collaboration with Oncology Data Science, Data
42, and enterprise AI initiatives /li /ul I/ML-Enabled Image Analysis
liBuild, optimize, and apply AI/ML models and reproducible workflows for whole-slide, multiplexed, and high-plex tissue imaging /li liUse tools such as HALO and HALO AI for segmentation, classification, feature extraction, spatial analysis, and biomarker scoring /li liTranslate image-derived outputs into clear biological insights that inform project decisions /li /ul igh-Plex Imaging and Rare Cyte Orion Analysis
liDevelop and implement pipelines to process, analyze, visualize, and interpret Rare Cyte Orion and other high-plex imaging data /li liPartner with OPB scientists to define fit-for-purpose analytical approaches for multiplexed tissue imaging studies /li liIntegrate high-plex imaging outputs with broader biomarker and translational datasets /li liEstablish quality control, documentation, and reporting standards that support innovative use of multiplexed imaging in oncology /li /ul ross-Functional Collaboration and Impact
liPartner with scientists, pathologists, physician-scientists, computational biologists, data scientists, and project teams to design, analyze, and interpret tissue-based studies /li liEngage across Oncology Translational Research and broader Novartis Biomedical Research to identify stakeholder needs, address workflow gaps, and implement practical solutions /li liCommunicate image analysis strategies, recommendations, and findings clearly to multidisciplinary teams while contributing to a collaborative culture of scientific excellence and innovation /li /ul ssential requirements
liPhD or MS in biology, bioinformatics, biomedical engineering, computational biology, data science, pathology, or a related field /li liMinimum 5 years of industry experience /li…