Senior Manager, Biostatistics

Cytokinetics•South San Francisco, CA

5d•$198,000 - $231,000•Hybrid

About The Position

Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction. The Senior Biostatistics Manager is a critical partner in the design and analysis of clinical studies, applying statistical expertise to guide trial strategy, design, and interpretation. This role ensures scientific rigor while maintaining the flexibility needed for hypothesis generation and signal detection. Responsibilities include contributing to protocol design, developing statistical analysis plans, and analyzing complex, often high-dimensional and/or observational data to inform clinical plans, go/no-go decisions and regulatory interactions. The successful candidate will combine a solid statistical background with advanced machine learning techniques to help transform how Cytokinetics generates insights from clinical trials and other biomedical datasets.

Requirements

Ph.D. or M.S. in Statistics/Biostatistics
a minimum of 0-2 years (for Ph.D.) or 5+ years (for M.S.) of experience in the biotech/pharma industry or at research institutions as a statistician.
Possess a solid technical foundation in statistics
Proficient in SAS and or R and generally comfortable with programming concepts
Demonstrate independent thinking and make decisions based on sound principles
Demonstrate excellent strategic agility including problem solving and critical thinking, with agility that extends beyond the technical domain
Have excellent verbal and written communication skills in presentation and writing, with the ability to explain complex technical concepts in clear language

Nice To Haves

Experience working with cross-functional collaborators
Effective communication skills with the ability to translate complex, often exploratory or model-based statistical concepts for non-statistical audiences, including clinicians and researchers
Basic understanding or willingness to learn drug development principles
Ability to providing statistical guidance in fast-paced, high-uncertainty settings
Familiarity with ML and AI approaches

Responsibilities

Under guidance, provide statistical support and strategic input to clinical development plans and target product profiles, proof of concept criteria, and Phase1-4 trials designs, contributing to team’s preparation for company governance reviews.
Draft and review protocols, SAPs, and CRFs using established templates and examples, ensuring alignment with trial goals such as safety and efficacy assessments and translational objectives.
Perform or support statistical analyses per SAPs, including working with novel endpoints or biomarkers, and proactively identify future uncertainties.
Collaborate with study teams to meet deliverables and develop appropriate processes.
Summarize findings clearly, with support as needed, translating complex outputs into actionable insights.
Contribute to clinical study reports and regulatory submissions, supporting documentation for relevant regulatory interactions including INDs, EMA scientific advice, and other HA interactions.
Apply judgment to solve moderately complex statistical or data issues, and know when to seek guidance when facing novel or ambiguous situations.
Be an active participant in department initiatives contributing to best practices, and guidelines.
Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.
Play an active part in internal innovation by evaluating novel approaches, supporting capability building, and aligning with Cytokinetics AI/ML efforts.