AI Scientist - Image Analysis & Digital Pathology

Novartis Group Companies; Cambridge (MA); On-site; USD 126,000 - 234,000; Full time

Benefits offered by this job

Relocation assistance

Hybrid/onsite options

Comprehensive benefits

Job summary

Novartis Group Companies in Cambridge (onsite) is seeking an AI/ML scientist with strong expertise in digital pathology to join the AI & Innovation Team. The role focuses on applying advanced AI to generate insights from imaging data to support oncology drug discovery and translational research.

You will develop models for H&E/IHC/mIF/spatial transcriptomics, collaborate with pathologists, and contribute to publications and internal/external conferences.

Qualifications

• PhD or MSc with related field and 4+ years of industry experience considered.
• Experience analyzing pathology imaging modalities including H&E, IHC, multiplex IF, and spatial transcriptomics.
• Knowledge of segmentation, classification, detection and representation learning.
• Experience with generative AI, foundation models, and multi-modal learning.
• Proficiency in PyTorch and openness to new tools.

Responsibilities

• Develop and apply AI/deep learning to extract insights from digital pathology imaging datasets.
• Work with foundational models to advance generative AI in drug discovery.
• Support imaging biomarker development and collaborate with pathologists and translational teams.
• Contribute to evaluation, validation, and benchmarking of image analysis algorithms.
• Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis.
• Stay current with advances and present results at conferences.

Skills

AI/ML

Deep learning

Python

Communication

Education

PhD in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field

MSc in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field

Tools

PyTorch

Job description

Job Description Summary

Location: Cambridge or Basel. Onsite. Relocation is offered for this role. #LI-Onsite

Job Description

The Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with deep expertise in digital pathology and a strong curiosity for translational research to join the AI & Innovation Team.

This role will apply advanced AI approaches to generate insights from complex imaging datasets and support our oncology drug discovery programs.

Key responsibilities:

• Develop and apply AI / deep learning approaches to extract insights from digital pathology imaging datasets (e.g., H&E, IHC, mIF, Spatial transcriptomics).
• Work with foundational models, including pre-trained, self-supervised, multi-purpose, and multi-modal models to advance generative AI applications in drug discovery.
• Support imaging biomarker development efforts by analyzing pathology imaging data and collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.
• Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.
• Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.
• Stay current with advances in computational pathology, AI/ML, and spatial biology technologies; contribute to scientific publications; and present results at internal and external scientific conferences.

Requirements:

• Ph.D.in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field. Candidates with MSc in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field, with 4+ years of relevant industry experience will also be considered.
• Strong experience analyzing pathology imaging modalities including H&E, IHC, multiplex IF, and / or spatial transcriptomics data.
• Understanding of machine learning methods for segmentation, classification, detection, and representation learning.
• Experience in one or more of the following areas: generative AI, digital pathology foundation models, geometric deep learning and / or multi-modal learning.
• Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.
• Strong communication and collaboration skills with the ability to communicate complex data insights and recommendations to cross-functional teams.
• Strong research skills, evidenced by publications in leading scientific journals and / or conference presentations.

Rewards

At Novartis,we'recommitted to reimagining medicine together - and rewarding the people who make it happen.

The rewards of being part of our team go far beyond base pay and incentives.We also offer a variety of competitive benefits inkindto help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeingresourcesand global recognition programs. In addition, we provide flexible and hybrid working options, where possible, anda minimum of14 weekspaid parental leave.

Expected Annual Base Salary Range for role:

• US: 126,000.00 - 234,000.00 USD Annual

The salary offered isdeterminedbased on gender-neutralobjectives, such as relevant skills,competenciesand experiencein accordance withthe Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse,equitableand inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Readourbrochureto learn more about our global total rewards offering:https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the applicationprocess.

Why Novartis:

Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating,supportingand inspiring each other. Combining to achieve breakthroughs that change patients' lives. Ready to create a brighter future together?https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards:

Read our handbook to learn about all the wayswe'llhelp you thrive personally and professionally:https://www.novartis.com/careers/benefits-rewards

EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.

Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to [e-mail] or call [phone] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Salary Range

$126,000.00 - $234,000.00

Skills Desired

Artificial Intelligence (AI), Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Python (Programming Language), Stakeholder Engagement, Statistical Analysis, Time Series Analysis