Lead Translational Biomarker Scientist, AI/Genomics

Cytokinetics; South San Francisco (CA); Vor Ort; USD 203.000 - 236.000; Vollzeit

Zusammenfassung

Cytokinetics 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 disorders.

In this hands-on leadership role, you will integrate genomic, transcriptomic, proteomic, and single-cell data, develop AI-driven approaches, and collaborate across biology, clinical

Qualifikationen

• 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.

Aufgaben

• 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 (e.g., evidence synthesis, data curation) with appropriate benchmarking.

Kenntnisse

Genomics analysis

GWAS & sequencing data

Single-cell analysis

R and/or Python

AI/LLMs in translational research

Leadership & mentorship

Ausbildung

PhD in Computational Biology / Human Genetics

Jobbeschreibung

Cytokinetics 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 disorders.

In this hands-on leadership role, you will integrate genomic, transcriptomic, proteomic, and single-cell data, develop AI-driven approaches, and collaborate across biology, clinical