Novartis Group Companies
Data Scientist, AI for Biomedical Imaging
Cambridge (USA)
Sponsorship not specifiedDetected 13 days ago
PythonAlgorithmsLinuxMachine LearningDeep LearningPyTorchData EngineeringData ScienceData VisualizationComputer VisionStatisticsBioinformaticsMicroscopyResearchLeadershipCommunicationPublic SpeakingBiostatistics
About the role
- This role combines hands-on delivery of robust image analysis workflows with advanced AI method development, including biomedical image segmentation, representation learning, foundation models, and scalable deployment.
- The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically.
- Novartis may change the published salary range based on company and market factors.
Responsibilities
- Lead AI-enabled image analysis strategies for complex biological imaging workflows, acting as the embedded imaging-AI scientific partner working side-by-side with wet-lab scientists to understand emerging assay needs, align approaches with scientific priorities and platform standards, and explain advanced AI concepts in accessible terms.
- Identify high-impact opportunities where AI can deliver meaningful scientific value and define rigorous benchmarking and evaluation strategies to guide method selection.
- Develop, validate, and deploy robust image analysis algorithms to characterize cellular, organoid, tissue, and other complex biological phenotypes in high-throughput and high-content imaging data, generating reproducible outputs that support decision-making in drug discovery projects.
- We strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.
Requirements
- Practical expertise in designing benchmarking and evaluation strategies to compare image analysis methods and guide rigorous, evidence-based model selection.
- Ability to work effectively in Linux-based high-performance computing, cloud, or large-scale data processing environments, with a strong commitment to reproducible research, version control, testing, and data provenance.
- Familiarity with the drug discovery pipeline, phenotypic screening, translational biology models, or pharmaceutical research processes.
- Familiarity with agentic coding tools and AI-assisted development workflows (e.g., Claude Code, Copilot).
Compensation
- The salary for this position is expected to range between $126,000 and $234,000 USD annually for Senior Expert I, Data Science, and $138,600 and $257,400 USD annually for Senior Expert II, Data Science.
- The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically.
- Novartis may change the published salary range based on company and market factors.
- Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
- $126,000.00 - $234,000.00
Benefits
- Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.
- US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits.
- In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.
- To learn more about the culture, rewards and benefits we offer our people click here.
Equal opportunity
- The Novartis Group of Companies are Equal Opportunity Employers.
- Accessibility and reasonable accommodations
- The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities.
- Please include the job requisition number in your message.
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This listing is sourced directly from Novartis Group Companies's careers page and normalized into a canonical job model.