Kyverna Therapeutics

Taming Autoimmunity™

Senior Manager, Biostatistics

ManagerManagerFull TimeRemoteTeam 51-200Since 2019H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

6 days ago

Salary

$165K - $190K / year

Postgraduate Degree3 yrs expEnglish

Job Description

• Serve as the lead statistician for assigned individual clinical studies, providing hands-on support for study design, power and sample size calculations, statistical analysis plans, TFL shells, and interpretation of results • Execute and oversee statistical analyses, including review of tables, listings, and figures generated by internal teams or CROs • Prepare and review statistical methods and results sections for clinical study reports and contribute to integrated analyses • Provide statistical guidance on study design, data collection, data review, and analysis for clinical trials • Support efficient medical and safety data review and monitoring activities, including participation in DSMB meetings as needed • Contribute to the development and review of statistical components of regulatory submissions and responses to health authority questions • Support protocol development, amendments, and data review meetings with cross-functional teams • Review clinical study documentation for eCTD submissions, including familiarity with CDISC standards, SDTM, ADaM, and define.xml • Collaborate closely with clinical operations, data management, medical, regulatory, and safety teams to support global study execution • Contribute to continuous improvement of statistical processes

Job Requirements

  • Ph.D. degree in Biostatistics, Statistics, or a related field and 3+ years of experience supporting biostatistics for clinical trials or M.S. degree and 6+ years of experience
  • Experience in immunology, neurology, or rare diseases preferred
  • Demonstrated experience serving as the lead statistician for clinical studies from design through analysis and reporting
  • Experience working with cross-functional clinical development teams
  • Exposure to regulatory submissions and interactions with health authorities
  • Proficiency in statistical software such as SAS and/or R for data analysis and modeling
  • Hands-on experience generating and reviewing tables, listings, and figures
  • Working knowledge of CDISC standards, including SDTM and ADaM
  • Familiarity with advanced statistical methods applicable to clinical trials, such as multiple imputation or Bayesian designs and real-world data analyses
  • Strong written and verbal communication skills
  • Ability to work cross-functionally in a fast-paced, collaborative environment
  • Strong attention to detail and organizational skills

Benefits

  • This position is also eligible for bonus
  • benefits, and participation in Company’s stock plan.

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