Biostatistics Senior Manager – Hybrid, ML-Driven Trials

Cytokinetics; South San Francisco (CA); Hybrid; USD 198,000 - 231,000; Full time

Benefits offered by this job

Equity options

Health, dental, vision, life and AD&D

401k with employer match

Wellness stipends

Paid time off

Job summary

Cytokinetics, a specialty cardiovascular biopharmaceutical company, seeks a Senior Manager, Biostatistics to guide trial strategy through statistical analysis and protocol development. The role emphasizes rigorous analytics, collaboration with cross-functional teams, and supporting regulatory interactions.

The candidate will apply solid statistics knowledge, including machine learning techniques, to transform insights from trials and biomedical data, while ensuring scientific rigor and adaptable

Qualifications

• Ph.D. or MS in Statistics/Biostatistics with biotech/pharma experience per level.
• Strong statistical foundation and programming capability in SAS or R.
• Ability to translate complex statistical concepts for clinical teams.

Responsibilities

• Provide statistical support and input to clinical development plans and trial designs.
• Draft and review SAPs, CRFs, and related statistical documents.
• Perform or supervise analyses per SAPs, including novel endpoints.
• Collaborate with study teams to ensure timely deliverables and decisions.
• Summarize findings clearly and translate outputs into actionable insights.
• Contribute to clinical study reports and regulatory submissions.

Skills

Statistical analysis

SAS

R

Communication

Decision making

Education

Ph.D. in Statistics/Biostatistics

M.S. in Statistics/Biostatistics

Tools

SAS

R

Job description

Cytokinetics, a specialty cardiovascular biopharmaceutical company, seeks a Senior Manager, Biostatistics to guide trial strategy through statistical analysis and protocol development. The role emphasizes rigorous analytics, collaboration with cross-functional teams, and supporting regulatory interactions.

The candidate will apply solid statistics knowledge, including machine learning techniques, to transform insights from trials and biomedical data, while ensuring scientific rigor and adaptable