Lead Genomics Data Scientist, Drug Discovery

Novartis; Cambridge (MA); On-site; USD 126,000 - 234,000; Full time

Job summary

Novartis Cambridge is seeking a highly driven computational scientist to apply human genetics and genomic data science in CVM research. You will work with geneticists and computational biologists to translate sequencing data into actionable insights for target discovery and patient stratification.

The role emphasizes collaboration, development of reproducible workflows, and effective communication of results within cross-functional teams to advance precision medicine in cardiovascular and

Qualifications

• PhD with 2–3+ years in human genetics or related field.
• Experience analyzing whole exome/genome sequencing data.
• Programming in Python or R; Linux/Unix proficiency.
• Strong communication and collaboration skills.

Responsibilities

• Analyze and interpret sequencing data to identify variants and pathways.
• Apply statistical genetics methods for association and burden testing.
• Support target discovery using human genetic evidence.
• Contribute to patient selection and stratification strategies.
• Integrate genomic data with multi-omic sources for insights.
• Collaborate with cross-functional teams to translate results.
• Develop reproducible analytical workflows and best practices.
• Present findings via reports, talks, and manuscripts.
• Stay updated on advances in genetics and computational methods.

Skills

Python

R

Genetics

Statistics

Bioinformatics

Linux

Git

Data analysis

Education

PhD

MS

Tools

Git

Job description

Novartis Cambridge is seeking a highly driven computational scientist to apply human genetics and genomic data science in CVM research. You will work with geneticists and computational biologists to translate sequencing data into actionable insights for target discovery and patient stratification.

The role emphasizes collaboration, development of reproducible workflows, and effective communication of results within cross-functional teams to advance precision medicine in cardiovascular and