Principal Scientist, Translational Genetics
Cytokinetics
June 30, 2026
Remote friendly (San Francisco Bay Area)
United States
Clinical Research and Development
Principal Scientist, Translational Genetics
Responsibilities
- Perform GWAS, fine-mapping, and other statistical genetics analyses using large-scale genomic datasets.
- Analyze and integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to identify causal variants/pathways for cardiovascular diseases.
- Develop statistical models to predict disease risk and treatment response from genetic and clinical data.
- Design/evaluate AI/ML methods for imaging-derived phenotyping (e.g., cardiac MRI, DEXA).
- Conduct Mendelian randomization studies to infer causal genetic relationships.
- Identify and prioritize genetic targets for therapeutic intervention; contribute to genetic study design/analysis for validation of drug targets and biomarkers.
- Collaborate with biologists and clinicians to translate findings into preclinical/clinical research.
- Develop/maintain bioinformatics pipelines for processing and analyzing genomic and EHR data; manage/curate large-scale datasets.
- Use/develop statistical software and tools for analysis/visualization (R, Python, PLINK, Hail).
- Present findings; support regulatory documents and grant applications; maintain organized analysis records.
Qualifications
- Ph.D. in Statistical Genetics, Human Genetics, Bioinformatics, Computational Biology, or related field.
- 6+ years biotech/pharma experience (or relevant post-doctoral) with demonstrated project impact.
- Strong expertise in large-scale genomic analyses (GWAS/sequencing) and statistical programming (R, Python).
- Proficiency with bioinformatics tools.
- Mendelian randomization and multi-omics integration highly desirable.
- Cardiovascular/cardiometabolic domain experience strongly preferred.
Preferred
- Cloud computing (AWS/Google Cloud) and biobank platforms (DNAnexus RAP, All of Us Workbench).
- ML/deep learning experience; multidimensional/longitudinal data analysis; peer-reviewed publications in relevant areas.
Application
Submit CV, cover letter, and list of publications.
Pay Range (US)
$202,500.00–$236,250.00/year.
Responsibilities
- Perform GWAS, fine-mapping, and other statistical genetics analyses using large-scale genomic datasets.
- Analyze and integrate multi-omics data (genomics, transcriptomics, proteomics, metabolomics) to identify causal variants/pathways for cardiovascular diseases.
- Develop statistical models to predict disease risk and treatment response from genetic and clinical data.
- Design/evaluate AI/ML methods for imaging-derived phenotyping (e.g., cardiac MRI, DEXA).
- Conduct Mendelian randomization studies to infer causal genetic relationships.
- Identify and prioritize genetic targets for therapeutic intervention; contribute to genetic study design/analysis for validation of drug targets and biomarkers.
- Collaborate with biologists and clinicians to translate findings into preclinical/clinical research.
- Develop/maintain bioinformatics pipelines for processing and analyzing genomic and EHR data; manage/curate large-scale datasets.
- Use/develop statistical software and tools for analysis/visualization (R, Python, PLINK, Hail).
- Present findings; support regulatory documents and grant applications; maintain organized analysis records.
Qualifications
- Ph.D. in Statistical Genetics, Human Genetics, Bioinformatics, Computational Biology, or related field.
- 6+ years biotech/pharma experience (or relevant post-doctoral) with demonstrated project impact.
- Strong expertise in large-scale genomic analyses (GWAS/sequencing) and statistical programming (R, Python).
- Proficiency with bioinformatics tools.
- Mendelian randomization and multi-omics integration highly desirable.
- Cardiovascular/cardiometabolic domain experience strongly preferred.
Preferred
- Cloud computing (AWS/Google Cloud) and biobank platforms (DNAnexus RAP, All of Us Workbench).
- ML/deep learning experience; multidimensional/longitudinal data analysis; peer-reviewed publications in relevant areas.
Application
Submit CV, cover letter, and list of publications.
Pay Range (US)
$202,500.00–$236,250.00/year.