AI Scientist – Image Analysis & Digital Pathology

C028 (FCRS = CH028) Novartis Pharma AG; Basel; Vor Ort; CHF 102.000 - 190.000; Vollzeit

Zusammenfassung

Novartis Pharma AG is seeking an AI/ML scientist with deep expertise in digital pathology to join the Oncology Data Science team. The role combines oncology drug discovery with AI/ML, translational research, and cutting-edge imaging analytics in Basel or Cambridge with onsite relocation offered.

You will develop deep learning models for pathology data, collaborate with pathologists and translational teams, and contribute to publications and conferences.

Qualifikationen

• Ph.D. in ML, CS,Applied Mathematics or related field.
• MSc with 4+ years of relevant industry experience will be considered.
• Strong experience analyzing pathology imaging modalities including H&E, IHC, multiplex IF, and/or spatial transcriptomics.
• Understanding of ML methods for segmentation, classification, detection, and representation learning.
• Experience in generative AI, digital pathology foundation models, geometric deep learning or multi-modal learning.
• Excellent programming skills with PyTorch; willingness to learn new tools.

Aufgaben

• Develop and apply AI/deep learning to extract insights from digital pathology imaging datasets (H&E, IHC, mIF, spatial transcriptomics).
• Work with foundational models including pre-trained, self-supervised, multi-purpose, and multi-modal models for generative AI in drug discovery.
• Support imaging biomarker development by analysing pathology data and collaborating with pathologists and translational teams.
• 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; contribute to publications and conferences.

Kenntnisse

AI/ML

Digital pathology

Image analysis

Python programming

Communication skills

Publications

Ausbildung

Ph.D. in ML/CS/Applied Math/Computational Biology or related

MSc in ML/CS/Applied Math/Computational Biology or related (with 4+ years experience)

Tools

PyTorch

Jobbeschreibung

Salary Range: CHF102,200.00 - CHF189,800.00

Job Description Summary

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

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’re committed 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 in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.

Expected Annual Base Salary Range for role: Switzerland: 102,200.00 - 189,800.00 CHF Annual The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the 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, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to 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 application process.

Commitment to Diversity and Inclusion / EEO

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

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, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?

Benefits and Rewards

Read our handbook to learn about all the ways we’ll help you thrive persona 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 Improving the lives of people living with disease takes more than innovative science. It takes a focus on the needs of people and a community committed to meeting them. It takes a team of people like you. Working together. Learning together. Thriving together. Discover how you can join us in changing people’s lives.

Skills Desired Artificial Intelligence (AI)

• 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

In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov.