Data Science & AI Innovation Postdoctoral Fellow

About the role

The Novartis Biomedical Research Postdoctoral Fellowship Program invites early-career scientists to join the Cardiovascular and Metabolism disease area in Cambridge, MA, as a Discovery Postdoctoral Fellow. The fellowship is a full-time training position of up to three years, starting on October 1, 2026, and focuses on applying AI methods to integrate ECG, genomic and proteomic data at large scale. It is onsite, not eligible for visa sponsorship and without relocation support.

Key responsibilities

• Develop and apply multimodal AI/ML models and statistical methods to integrate ECG, genomic and proteomic data for cardiovascular disease research.
• Analyze large-scale multimodal datasets from biobanks, clinical studies and real-world data to identify novel biomarkers and disease mechanisms.
• Design, implement and evaluate predictive and interpretable models linking physiological signals with molecular and genetic variation.
• Collaborate with a multidisciplinary team of data scientists, geneticists, clinicians and cardiovascular researchers.
• Communicate findings through publications, conference presentations and internal seminars.

Required profile

• PhD (or equivalent) in a relevant scientific discipline completed before the start date; the program is for scientists immediately after their PhD (2026 graduates only).
• Demonstrated record of scientific achievement (publications, presentations, patents or equivalent).
• Strong quantitative background in data science, statistics, machine learning, bioinformatics, computational biology, computer science or biomedical engineering.
• Hands-on experience applying statistical or machine learning methods to biomedical, clinical, imaging, signal or omics data, and experience building predictive models.
• Ability to work independently in a collaborative, multidisciplinary environment and strong communication skills.
• Desirable: experience in statistical genetics or multi-omics analysis, and experience analyzing physiological signals such as ECG with deep learning and foundation models.

Required skills

• Programming in Python and/or R
• Experience with large-scale datasets
• Machine learning and statistical modeling

What we offer

• Starting salary of 87,000 USD per year (range 57,800 to 107,300 USD).
• Guidance from scientific leaders, access to advanced technologies and a global community of fellows.
• A Postdoc Practicum for personalized experiential learning, and opportunities to publish and present research.
• Benefits for US-based employees including health, life and disability coverage, a 401(k) plan and time off.

To apply, submit a CV and cover letter by August 21, 2026, stating your research interests, career goals and availability for the October 1, 2026 start date.