Lead Translational Biomarker Scientist: AI/ML & Multi-Omics

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

Benefits offered by this job

Stock options

Health insurance

401(k)

Job summary

Cytokinetics Incorporated in South San Francisco, CA seeks a leadership-minded computational scientist to drive translational biomarker discovery at the intersection of human genetics, multi-omics, and AI/ML. You will identify diagnostic and prognostic biomarkers and collaborate with biologists and clinical teams to translate findings toward patient care.

The role combines hands-on data analysis with strategic leadership, mentoring scientists, and developing AI-driven approaches, including

Qualifications

• Ph.D. in Computational Biology, Human Genetics, Bioinformatics, or a related field with 6+ years of post‑doctoral or industry experience.
• Strong expertise in analyzing large‑scale genomic datasets, including GWAS and sequencing data.
• Deep expertise in transcriptomics, proteomics, or single‑cell analysis with integration across data types.
• 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 AI/ML methods.
• Strong interest in applying AI tools, including LLMs and agents, to translational research and ability to lead cross‑functional projects and mentor scientists.

Responsibilities

• Integrate genomic, transcriptomics, 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 AI/ML 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 LLMs and agents with appropriate benchmarking.

Skills

Genomic data analysis

Biomarker discovery

Cross-functional leadership

AI/ML

Education

Ph.D. in Computational Biology / Human Genetics / Bioinformatics

Tools

R

Python

Job description

Cytokinetics Incorporated in South San Francisco, CA seeks a leadership-minded computational scientist to drive translational biomarker discovery at the intersection of human genetics, multi-omics, and AI/ML. You will identify diagnostic and prognostic biomarkers and collaborate with biologists and clinical teams to translate findings toward patient care.

The role combines hands-on data analysis with strategic leadership, mentoring scientists, and developing AI-driven approaches, including