Novartis
Data Science & AI Innovation Postdoctoral Fellow
$58K–$107K
Cambridge (USA) · Full-time · Posted Aug 25, 2026
- Experience
- Intended for scientists immediately following PhD training; PhD conferred in 2026 only. Full-time training position of up to three years.
- Education
- PhD (or equivalent doctoral degree) in a relevant scientific discipline.
- Visa sponsorship
- Not eligible for visa sponsorship.
About the job
Conduct cardiovascular disease research by developing AI and statistical methods to integrate ECG, genomic, and proteomic data and identify biomarkers, disease mechanisms, and patient stratification insights.
What you'll do
- Develop and evaluate multimodal AI/ML and statistical models for cardiovascular research.
- Analyze large-scale biobank, clinical-study, and real-world datasets to identify biomarkers and disease mechanisms.
- Collaborate with multidisciplinary researchers and communicate findings through publications, presentations, and seminars.
What they ask for
- PhD or equivalent doctoral degree in a relevant scientific discipline, completed before the fellowship start date; PhD conferred in 2026 only.
- Strong quantitative background in a relevant field and programming proficiency in Python and/or R.
- Experience with large-scale datasets and applying statistical or machine-learning methods to complex biomedical or other high-dimensional data.
- Experience developing and evaluating predictive models.
Nice to have
- Experience in statistical genetics or multi-omics analysis.
- Experience analyzing physiological signals such as ECG, including deep learning and foundation models for biomedical data.
Pay
87,000 USD per year (starting salary); $57,800.00 - $107,300.00 (base salary range)
Tools
Python, R, AI/ML, ECG
AI focus
Develop and apply multimodal AI/ML models to integrate ECG, genomic, and proteomic data, and build predictive and interpretable models for cardiovascular research.
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