Senior Principal Scientist / Assoc Director, Oncology Translational Research

This is a dual posting. The final level of the offered role will be determined by the hiring team based on the skills, experience, and capabilities required to perform the role at the offered level. 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 image analysis tools such as HALO and experience developing, implementing, and applying AI/ML models to tissue images Demonstrated success applying advanced imaging solutions to pathology and translational research workflows, including high-resolution whole-slide and gigapixel image datasets Strong understanding of tissue-based biomarker development, oncology biology, and translational research Strong organizational, communication, and problem-solving skills, with the ability to engage stakeholders, identify process gaps, and drive next steps Ability to work effectively in multidisciplinary, matrixed teams and contribute in a collaborative, innovative, and self-directed way Desirable Qualifications Background in cancer biology, immuno-oncology, radioligand therapy, spatial biology, or tumor microenvironment biology Experience supporting oncology drug discovery or early clinical development with image-based biomarker strategies and spatial scoring approaches for pharmacodynamic, indication, isotope, or patient selection decisions Familiarity with RareCyte Orion or other multiplexed/high-plex tissue imaging platforms, including machine learning and computational methods for tissue image analysis Proficiency in Python or RExperience harmonizing digital pathology workflows across sites, teams, or software environments, with familiarity in image data centralization, digital pathology infrastructure, FAIR principles, or enterprise data platforms Experience collaborating with oncology data science, informatics, translational medicine, or enterprise AI teams Scientific visibility through publications, presentations, or collaborations in digital pathology, oncology biomarkers, image analysis, or spatial biology Novartis Compensation and Benefit Summary: The salary for this position is expected to range between $138,600.00 - $257,400.00 USD Annual per year. The final salary offered is determined based on factors like, but not limited to, relevant skills andexperience, and upon joining Novartis will be reviewed periodically. Novartis may change the publishedsalary range based on company and market factors. Your compensation will include a performance-based cash incentive and, depending on the level of therole, eligibility to be considered for annual equity awards. US-based eligible employees will receive a comprehensive benefits package that includes health, life anddisability benefits, a 401(k) with company contribution and match, and a variety of other benefits. Inaddition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.