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Cytokinetics

Develops small-molecule therapies for muscle function

Principal Scientist - Translational Biology

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Ph.D. in Computational Biology, Human Genetics, Bioinformatics, or a related field, with at least six years of postdoctoral or industry experience.
  • Strong expertise in analyzing large-scale genomic datasets, including genome-wide association studies and sequencing data.
  • Deep expertise in transcriptomics, proteomics, or single-cell analysis, with integration across data types.
  • A track record translating human molecular or phenotypic data into disease mechanisms, therapeutic targets, or biomarker strategies.
  • Proficiency in R and/or Python, with expertise in study design, batch effects, confounding, longitudinal data, and evaluating artificial intelligence and machine learning methods.
  • Strong interest in applying artificial intelligence tools, including large language models and agents, to translational research; production experience is not required.
  • Ability to lead cross-functional projects and mentor scientists.

Responsibilities

  • Integrate genomic, transcriptomic, proteomic, and single-cell data to trace how genetic variation drives molecular and cellular changes in cardiac and skeletal muscle disease.
  • Discover and validate diagnostic and prognostic biomarkers of disease onset, progression, and clinical outcomes using omics and longitudinal clinical data from biobanks and patient cohorts.
  • Develop and validate artificial intelligence and machine learning methods linking molecular profiles with imaging and clinical phenotypes to define patient subgroups for precision medicine.
  • Investigate disease heterogeneity and genotype-phenotype discordance to uncover modifier pathways and generate mechanistic hypotheses for experimental follow-up.
  • Lead translational applications of large language models and agents, such as evidence synthesis and data curation, with appropriate benchmarking.

Desired Qualifications

  • Experience with population biobanks, such as UK Biobank or All of Us, or disease-specific cohorts.
  • Drug discovery experience, including biomarker analysis, patient sample studies, or patient stratification.
  • Experience integrating genetic evidence with single-cell or tissue-specific expression data.
  • Previous therapeutic area experience in cardiovascular and neuromuscular disease.
  • Experience prototyping large-language-model-assisted or agentic workflows.

About the Company

Cytokinetics

Develops small-molecule therapies for muscle function

Cytokinetics develops and commercializes small molecule drugs aimed at improving muscle function for cardiovascular and neuromuscular diseases. Its products are designed to either enhance or adjust muscle contraction, with a pipeline that includes compounds like omecamtiv mecarbil, reldesemtiv, CK-274, AMG 594, and CK-601, currently in various stages of clinical trials. The company advances therapies through partnerships, licensing, and potential sales of approved medicines, and relies on extensive clinical testing to demonstrate effectiveness and safety. What sets Cytokinetics apart is its focused approach on muscle function modulators (activators and inhibitors) for both heart and skeletal muscle diseases, targeting conditions such as heart failure, hypertrophic cardiomyopathy, ALS, and SMA. Its goal is to bring medicines to patients to improve muscle performance and daily function, addressing unmet medical needs in these diseases.

Company size
501-1,000
Company stage
IPO
Headquarters
South San Francisco, CA
Founded
1998

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