Translational Biomarker Scientist - Cardiac AI

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

Job summary

Cytokinetics, Inc. 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 anticipate outcomes in cardiac and skeletal muscle disorders.

You will work with genetic data, biobanks, and clinical cohorts, building AI/ML models and supporting biomarker strategies to guide clinical translation and therapy development.

Qualifications

• Ph.D. in Computational Biology, Human Genetics, Bioinformatics, or related field with 6+ years of post-PhD experience.
• Strong expertise in analyzing large-scale genomics data, including GWAS and sequencing data.
• Proficiency in R and/or Python, with longitudinal data and AI/ML method experience.
• Experience translating molecular data into disease mechanisms and biomarker strategies.
• Experience applying AI tools, including LLMs and agents, to translational research.

Responsibilities

• Integrate multi-omics data to trace genotype-to-phenotype changes in cardiac and skeletal muscle.
• Discover and validate diagnostic and prognostic biomarkers using biobank and cohorts.
• Develop AI/ML methods linking molecular profiles with imaging and clinical data.
• Investigate disease heterogeneity and modifier pathways for experimental follow up.
• Lead translational applications of LLMs and data curation with benchmarking.

Skills

Genomics

Transcriptomics

Proteomics

Single-cell

AI/ML

R/Python

Data integration

Study design

Longitudinal data

Batch effects

Education

PhD in Computational Biology

Tools

R

Python

LLMs

Job description

Cytokinetics, Inc. 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 anticipate outcomes in cardiac and skeletal muscle disorders.

You will work with genetic data, biobanks, and clinical cohorts, building AI/ML models and supporting biomarker strategies to guide clinical translation and therapy development.