Translational Genetics Scientist, Cardiovascular Genomics

Cytokinetics; South San Francisco (CA); On-site; USD 203,000 - 236,000; Full time

Job summary

Cytokinetics in South San Francisco, CA is seeking a Principal Scientist, Translational Genetics to analyze large-scale genetic data and identify therapeutic targets for cardiovascular diseases. You will lead GWAS, fine-mapping, and multi-omics integration to translate genetic insights into clinical research.

The role requires a PhD in statistical genetics with 6+ years in biotech, strong R/Python skills, and experience in Mendelian randomization and AI/ML methods for imaging phenotypes.

Qualifications

• PhD in Statistical Genetics, Human Genetics, Bioinformatics, Computational Biology or related field.
• 6+ years in biotech/pharma or relevant post-doc with impact on projects.
• Strong skills in GWAS, sequencing data; proficient in R and Python.
• MR and multi-omics data integration desirable; cardiovascular focus preferred.

Responsibilities

• Perform GWAS, fine-mapping and other statistical genetics analyses on large datasets.
• Integrate multi-omics data to identify causal variants and pathways.
• Develop models to predict disease risk and treatment response from genetic data.
• Collaborate with biologists and clinicians to translate findings into research.
• Manage and curate large genomic and EHR datasets; contribute to publications.

Skills

Statistical genetics

Bioinformatics

R

Python

Mendelian randomization

Machine learning

Data analysis

Communication

Team collaboration

Education

PhD in Statistical Genetics

Tools

PLINK

Hail

AWS

DNAnexus RAP

All of Us Workbench

Job description

Cytokinetics in South San Francisco, CA is seeking a Principal Scientist, Translational Genetics to analyze large-scale genetic data and identify therapeutic targets for cardiovascular diseases. You will lead GWAS, fine-mapping, and multi-omics integration to translate genetic insights into clinical research.

The role requires a PhD in statistical genetics with 6+ years in biotech, strong R/Python skills, and experience in Mendelian randomization and AI/ML methods for imaging phenotypes.