Lead Translational Biomarker Scientist for Muscle Disease

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

Job summary

Cytokinetics (Ireland) Limited is seeking a highly motivated computational scientist to lead translational biomarker discovery at the intersection of human genetics, multi‑omics, and AI/ML. You will identify biomarkers that diagnose disease, predict progression, and forecast patient outcomes in cardiac and skeletal muscle diseases.

You will work with experimental biologists and clinicians to translate patient insights into discovery and back toward the clinic.

Qualifications

• Ph.D. with 6+ years of post‑doctoral or industry experience.
• Strong evidence of analyzing large genomic datasets (GWAS, sequencing).
• Deep expertise in transcriptomics, proteomics, or single‑cell analysis with cross‑ modality integration.
• Proven ability to translate human molecular or phenotypic data into disease mechanisms or biomarkers.
• Proficiency in R and/or Python, with study design, batch effects and longitudinal data handling.

Responsibilities

• Integrate genomic, transcriptomic, proteomic and single‑cell data to trace how genetic variation drives disease in cardiac and skeletal muscle.
• Discover and validate diagnostic and prognostic biomarkers using omics and longitudinal clinical data.
• Develop and validate AI/ML methods linking molecular profiles with imaging and clinical phenotypes for patient stratification.
• Investigate genotype–phenotype discordance and uncover modifier pathways for experimental follow up.
• Lead translational applications of LLMs and agents with appropriate benchmarking.

Skills

R

Python

AI/ML

Leadership

Cross‑functional collaboration

Education

PhD in Computational Biology, Human Genetics, Bioinformatics, or related field

Job description

Cytokinetics (Ireland) Limited is seeking a highly motivated computational scientist to lead translational biomarker discovery at the intersection of human genetics, multi‑omics, and AI/ML. You will identify biomarkers that diagnose disease, predict progression, and forecast patient outcomes in cardiac and skeletal muscle diseases.

You will work with experimental biologists and clinicians to translate patient insights into discovery and back toward the clinic.