Senior AI/ML Scientist — Aging & Disease Biology

Novartis; South Dakota; Hybrid; USD 126,000 - 257,000; Full time

Benefits offered by this job

Health, life and disability benefits

401(k) with company match

Equity awards eligibility

Generous leave and vacation policy

Job summary

Novartis in San Diego, CA, seeks an AI/ML for Biology Scientist to advance therapies for aging-related diseases by integrating human genetics, multi-omics, imaging and functional biology with machine learning.

The role develops and applies ML approaches to uncover disease mechanisms and drive target identification, prioritization and validation for aging diseases, especially neurodegenerative and cardiovascular conditions.

Qualifications

• PhD in a quantitative life science field.
• 3+ years applying computational/ML to biomedical research.
• Hands-on with genetic, single-cell, spatial data analyses.
• Experience deploying ML models (MLOps) and reproducible workflows.
• Strong Python and R skills; collaboration across disciplines.

Responsibilities

• Partner with experimental scientists to design data-driven approaches to answer biological questions.
• Apply computational biology, human genetics, ML and AI to support target identification, prioritization and validation for aging-related disease.
• Contribute to design of large-scale experiments and data-generation strategies across genetics, multi-omics, imaging and functional biology.
• Integrate diverse biological datasets to uncover disease mechanisms and generate therapeutic hypotheses.
• Help establish reproducible and scalable computational workflows and analytical approaches that accelerate discovery across DARe.

Skills

Python

R

Machine Learning

Reproducible workflows

Education

PhD in Computational Biology, Human Genetics, Bioinformatics, Data Science, ML or related

Tools

MLops

R

Jupyter

Job description

Novartis in San Diego, CA, seeks an AI/ML for Biology Scientist to advance therapies for aging-related diseases by integrating human genetics, multi-omics, imaging and functional biology with machine learning.

The role develops and applies ML approaches to uncover disease mechanisms and drive target identification, prioritization and validation for aging diseases, especially neurodegenerative and cardiovascular conditions.