Translational Scientist, Omics & AI for Cardio Biomarkers

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

Zusammenfassung

Cytokinetics is seeking a PhD-level scientist to advance precision medicine by integrating multi-omics data and applying AI/ML approaches to cardiovascular disease research. You will lead cross-functional translational projects and contribute to the development of biomarkers and therapeutic strategies.

The role emphasizes collaboration, data-driven decision making, and leadership of scientific teams. You will mentor researchers and help shape biomarker-driven programs and evidence-based targets.

Qualifikationen

• PhD with 6+ years post-doctoral or industry experience
• Strong expertise in analyzing large-scale genomic datasets including GWAS and sequencing data
• Proficiency in R and/or Python; experience with longitudinal data and evaluating AI/ML methods

Aufgaben

• Integrate genomic, transcriptomics, proteomic and single cell data to trace genetic variation effects
• Discover and validate diagnostic and prognostic biomarkers using omics data and biobanks
• Develop AI/ML methods linking molecular profiles with imaging and clinical phenotypes
• Investigate disease heterogeneity and genotype-phenotype discordance to generate mechanistic hypotheses
• Lead translational applications of LLMs and agents with benchmarking

Kenntnisse

Genomics data analysis

R and Python

AI/ML methods

Cross-functional leadership

Ausbildung

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

Tools

GWAS analysis

Single-cell analysis

Jobbeschreibung

Cytokinetics is seeking a PhD-level scientist to advance precision medicine by integrating multi-omics data and applying AI/ML approaches to cardiovascular disease research. You will lead cross-functional translational projects and contribute to the development of biomarkers and therapeutic strategies.

The role emphasizes collaboration, data-driven decision making, and leadership of scientific teams. You will mentor researchers and help shape biomarker-driven programs and evidence-based targets.