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Cytokinetics is seeking a Senior Biostatistics Manager in South San Francisco, CA to guide statistical strategy across Phase 1-4 trials and regulatory interactions. You will design analyses, develop SAPs, and advise on endpoints, biomarkers, and translational objectives.
The role emphasizes collaboration with cross-functional teams, strong communication, and applying ML/AI approaches to derive insights from clinical data, while staying current with regulatory expectations.
Cytokineticsis 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.
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. Successful candidate will combine solid statistical background with advanced machine learning techniques to help to transform how Cytokinetics generates insights from clinical trials and other biomedical datasets.
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
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
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
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The expected salary range for this position based on the primary location of South San Francisco, CA is $198,000-$231,000. The base pay offered will take into account internal equity and may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. Base salary is just one component of our competitive total compensation package, which includes equity in the form of stock options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you.
Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying.
Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves.
Please visit our website at: www.cytokinetics.com
Cytokinetics is an Equal Opportunity Employer