AI-Driven Cardiovascular Data Science Postdoc

Novartis; Pennsylvania; On-site; USD 78,000 - 96,000; Full time

Benefits offered by this job

Health, life & disability coverage

401(k) with company contribution

Generous time-off package

Job summary

Novartis invites applications for the Biomedical Research Postdoctoral Fellowship Program in Cambridge, MA. As a Data Science & AI Innovation Fellow, you will work on multimodal AI methods to integrate ECG, genomic, and proteomic data, aiming to discover biomarkers and improve patient stratification.

This three-year, full-time training position offers collaboration across data scientists, geneticists, and clinicians, exposure to large biobank datasets, and opportunities to publish, present at

Qualifications

• PhD (or equivalent doctoral degree) 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

Data science

Machine learning

Statistics

Bioinformatics

Computational biology

Big data

Python

R programming

Education

PhD in relevant discipline

Tools

Python

R

Job description

Novartis invites applications for the Biomedical Research Postdoctoral Fellowship Program in Cambridge, MA. As a Data Science & AI Innovation Fellow, you will work on multimodal AI methods to integrate ECG, genomic, and proteomic data, aiming to discover biomarkers and improve patient stratification.

This three-year, full-time training position offers collaboration across data scientists, geneticists, and clinicians, exposure to large biobank datasets, and opportunities to publish, present at