Teams at Cytokinetics

The Associate Scientist will design and manage in vivo pharmacology studies, analyze biomarkers, and collaborate with various teams for preclinical development.

Lead statistician providing statistical leadership for clinical development and study design, SAPs, DMC coordination, regulatory submissions, exploratory analyses integrating multimodal data, mentoring staff, and advancing AI/ML-enabled insights across clinical programs.

Lead statistical genetics analyses (GWAS, fine-mapping, Mendelian randomization) and multi-omics integration to identify and prioritize genetic targets for cardiovascular and muscle diseases. Develop bioinformatics pipelines, manage large-scale genomic and clinical datasets, design AI/ML phenotyping methods, collaborate with biologists and clinicians, and communicate findings in publications and regulatory documents.