Cytokinetics

Cytokinetics

Principal Scientist, Translational Genetics

South San Francisco, California · Principal

Sponsorship not specified$203k-$236kDetected 31 days ago
PythonAWSGCPMachine LearningDeep LearningData AnalysisComputer VisionComplianceEHR/EMRBioinformaticsResearchAnimal StudiesCommunicationCollaborationProblem SolvingTime Management

About the role

  • The successful candidate will play a critical role in analyzing large-scale genetic and genomic datasets to identify and select therapeutic targets for cardiovascular and muscle diseases.
  • This position requires a strong foundation in statistical genetics, bioinformatics, AI/ML methods, genomics and a passion for translating genetic insights into clinical applications.
  • Please submit your CV, a cover letter outlining your research experience and interests, and a list of publications #LI-ONSITE Pay Range: In the U.S., the hiring pay range for fully qualified candidates is $202,500.00 - $236,250.00 per year.

Responsibilities

  • Perform genome-wide association studies (GWAS), fine-mapping, and other statistical genetics analyses using large-scale genomic datasets (e.g., UK Biobank, All of Us, FinnGen, etc.).
  • Develop and apply statistical models to predict disease risk and treatment response based on genetic and clinical data.
  • Design and evaluate AI/ML methods for large-scale imaging-derived phenotyping (e.g., cardiac MRI, DEXA)
  • Contribute to the design and analysis of genetic studies to validate drug targets and biomarkers.
  • Collaborate with experimental biologists and clinicians to translate genetic findings into preclinical and clinical research.
  • Manage and curate large-scale genetic and clinical datasets.
  • Utilize and develop statistical software and tools for data analysis and visualization (e.g., R, Python, PLINK, Hail).
  • Collaborate with cross-functional teams, including biologists, clinicians, and computational scientists.
  • Contribute to the preparation of regulatory documents and grant applications.
  • Maintain detailed and organized records of all analyses.

Requirements

  • 6+ years of experience in the biotech or pharmaceutical industry (or relevant post-doctoral experience) and demonstrated impact on project progression
  • Strong expertise in analyzing large-scale genomic datasets, including GWAS and sequencing data.
  • Proficiency in statistical programming languages (R, Python) and bioinformatics tools.
  • Experience with Mendelian randomization and multi-omics data integration is highly desirable.
  • Education: Ph.D. in Statistical Genetics, Human Genetics, Bioinformatics, Computational Biology or a related field with
  • Prior experience in the cardiovascular / cardiometabolic therapeutic domain is strongly preferred.
  • Ability to work independently and as part of a team.

Nice to have

  • Experience with cloud computing platforms (e.g., AWS, Google Cloud) and biobank research analysis platforms (e.g., DNAnexus RAP, All of Us Workbench)
  • Experience with multidimensional and longitudinal data analysis in biology or medicine
  • Publications in peer-reviewed journals related to statistical genetics and cardiovascular disease.
  • Please submit your CV, a cover letter outlining your research experience and interests, and a list of publications
  • Our employees come from different backgrounds, and we celebrate those differences.
  • If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you.
  • Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying.
  • Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking.

Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Strong organizational and time management skills.
  • Ability to learn new skills quickly.

Compensation

  • In the U.S., the hiring pay range for fully qualified candidates is $202,500.00 - $236,250.00 per year.
  • The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Benefits

  • Develop and maintain bioinformatics pipelines for processing and analyzing genomic and electronic health records (EHR) data.

Company info

  • Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction.
  • At Cytokinetics, each team member plays an integral part in advancing our mission to improve the lives of patients.
  • We are seeking tenacious, compassionate, and collaborative individuals who are driven to make a positive impact.
  • We are seeking a highly motivated and skilled Principal Scientist, Translational Genetics to join our growing team.

Equal opportunity

  • www.cytokinetics.com
  • Cytokinetics is an Equal Opportunity Employer
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This listing is sourced directly from Cytokinetics's careers page and normalized into a canonical job model.