Senior Scientist II, Statistical Genetics (Cardiovascular)

Cytokinetics, Inc.; South San Francisco (CA); On-site; USD 185,000 - 215,000; Full time

Benefits offered by this job

Equity (stock options)

Healthcare coverage

401k with employer match

Learning stipend

Wellness stipend

Paid time off

Job summary

Cytokinetics, Inc. in South San Francisco, CA, is seeking a highly skilled statistical geneticist to join our expanding team.

You will drive discovery by analyzing large human cohorts, sequencing data, and rich phenotypes to connect genetic variation with disease biology and therapeutic opportunities. The role requires a PhD with 4+ years of post-doctoral or industry experience, strong R/Python skills, and a track record of independent research.

Qualifications

• Ph.D. in Statistical Genetics, Human Genetics, Bioinformatics, Computational Biology or a related field with 4+ years of post-doctoral or industry experience.
• Experience analyzing large-scale genomic datasets, including GWAS and sequencing data.
• Experience translating genetic associations into candidate therapeutic hypotheses or targets.
• Experience with multidimensional and longitudinal data analysis in biology or medicine.
• Proficiency in R and/or Python, with experience applying and critically evaluating statistical and ML methods.
• Track record of independent research (e.g., first-author publications, methods, software) and strong communication skills.

Responsibilities

• Perform common and rare variant association studies and meta-analyses across biobanks (e.g., UK Biobank, All of Us, FinnGen) to discover and replicate associations across diverse ancestries
• Develop quantitative and longitudinal phenotypes from EHR and imaging (e.g., cardiac MRI, DEXA) using AI/ML methods to better capture disease biology
• Apply fine-mapping, colocalization, Mendelian randomization and burden methods, including protein language model-based variant prioritization, to identify causal genes and direction of effect
• Prioritize targets using genetic evidence for efficacy and safety (e.g., PheWAS, allelic series, protective variants) and partner with experimental teams on validation
• Build reproducible pipelines on research analysis platforms, and present findings internally, at conferences and in publications

Skills

GWAS analysis

Statistical genetics

R

Python

AI/ML methods

Education

Ph.D. in Statistical Genetics or related field

Tools

R

Python

Cloud platforms

Job description

Cytokinetics, Inc. in South San Francisco, CA, is seeking a highly skilled statistical geneticist to join our expanding team.

You will drive discovery by analyzing large human cohorts, sequencing data, and rich phenotypes to connect genetic variation with disease biology and therapeutic opportunities. The role requires a PhD with 4+ years of post-doctoral or industry experience, strong R/Python skills, and a track record of independent research.