The opportunity
This is an exciting opportunity for a highly experienced, independent clinical biostatistician to advance adoption of Natera’s oncology portfolio of cutting-edge molecular diagnostic tests. As a Principal Biostatistician, you will independently lead the design, analysis, and…
What you'll do
Study Design and Statistical Strategy: Lead the statistical design and analytical planning for oncology clinical utility studies. Provide technical expertise in complex study design methodologies and data analyses. Propose and justify efficient study designs tailored to complex oncology use cases.
Cross-Functional Collaboration: Serve as study statistician for Natera sponsored studies and provide consults for external collaborations. Partner with clinical, medical, and translational scientists to influence study planning, development, and execution. Identify risks, proactively communicate concerns, and champion solutions to interdisciplinary teams and executive leaders.
Documentation and Reporting: Author and review high-quality statistical deliverables, including statistical analysis plans (SAPs), and reports (TLFs, CSRs, publications) for cross-functional collaborators and stakeholders.
Innovation and Improvement: Recommend and apply novel statistical approaches where appropriate. Mentor early career statisticians and support continuous improvement of departmental processes, tools, and templates to enhance team efficiency and analytical rigor. Collaborate on manuscripts for publications.
Advanced degree in Biostatistics, Statistics, or a related quantitative field (Ph.D. preferred).
+ years of experience in clinical trial biostatistics.
What they're looking for
- Strong expertise in time-to-event analysis, including handling of censoring,: competing risks, and advanced survival modeling approaches commonly used in oncology.
- Expertise with innovative study design (e.g. adaptive and biomarker-informed: designs), power calculations, and endpoint evaluation.
- Working knowledge of ICH and GCP guidelines as well as CDISC standards (e.g. SDTM, ADaM).
- Proficient in R.
