AI Innovation Fellow: Cardiovascular Data Science

U175 (FCRS = US175) Novartis Institutes for BioMedical Research, Inc.; Cambridge (MA); On-site; USD 58,000 - 107,000; Full time

Benefits offered by this job

Health, life, and disability coverage

401(k) plan with company contribution

Generous time-off package

Job summary

The Novartis Institutes for BioMedical Research, Inc. Cambridge, MA invites applications for the Biomedical Research Postdoctoral Fellowship Program, a three-year training opportunity designed for exceptional early-career scientists eager to tackle challenging problems in biomedical research and drug discovery.

As a Data Science & AI Innovation Fellow, you will develop multimodal AI/ML models, analyze large-scale datasets, and collaborate with cross-disciplinary teams to translate discoveries

Qualifications

• PhD (or equivalent) in a relevant scientific discipline completed prior to the fellowship start date.
• Demonstrated record of scientific achievement (publications, presentations, patents, or equivalent)
• Strong commitment to learning, innovation, and professional development
• Strong quantitative background in data science, statistics, machine learning, bioinformatics, computational biology, or a related field.
• Programming proficiency in Python and/or R and experience working with large-scale datasets.
• Hands-on experience applying statistical or machine learning methods to biomedical, clinical, imaging, signal, omics, or other complex high-dimensional data.
• Experience developing and evaluating predictive models using modern data science approaches.
• Ability to work independently while thriving in a collaborative, multidisciplinary research environment.
• Strong communication skills, including the ability to explain complex analytical concepts to diverse scientific audiences.

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 sources 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 scientific seminars.

Skills

Analytical Thinking

Data Analysis

Machine Learning

Bioinformatics

Computational Biology

Python

R

Education

PhD in relevant scientific discipline

Tools

Python

R

Job description

The Novartis Institutes for BioMedical Research, Inc. Cambridge, MA invites applications for the Biomedical Research Postdoctoral Fellowship Program, a three-year training opportunity designed for exceptional early-career scientists eager to tackle challenging problems in biomedical research and drug discovery.

As a Data Science & AI Innovation Fellow, you will develop multimodal AI/ML models, analyze large-scale datasets, and collaborate with cross-disciplinary teams to translate discoveries