SVP, Biometrics & Oncology Data Strategy

Erasca, Inc.; Northern, San Diego (KY, CA); Hybrid; USD 350,000 - 415,000; Full time

Benefits offered by this job

Paid Time Off

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Plan

Employee Stock Purchase Program

Pet Insurance

Disability Insurance

Flexible Spending Accounts

Life/AD&D

Job summary

Erasca, Inc. is seeking a Senior Vice President of Biometrics to lead Biostatistics, Statistical Programming & Analysis, and Clinical Data Management from IND-enabling through registration and launch.

This role combines executive leadership with hands-on execution and cross-functional collaboration. The ideal candidate has 15+ years in pharma/biotech biometrics, a PhD in statistics/biostatistics, and a proven track record in oncology drug development and regulatory interactions, with strong

Qualifications

• Minimum of 15 years relevant experience in pharma/biotech, large and small companies.
• PhD in statistics or biostatistics required.
• Experience in oncology drug development and regulatory interactions.

Responsibilities

• Build, lead, and mentor Biostatistics, Statistical Programming & Analysis, and Clinical Data Management teams.
• Ensure data design, analysis, and submission datasets meet regulatory requirements.
• Provide biometrics expertise to senior management and clinical teams.
• Contribute to study protocols, reports, INDs, NDAs, and labeling.
• Represent biometrics in regulatory interactions and with health authorities.
• Stay abreast of new statistical methods and biometrics SOPs.

Skills

Biostatistics

Leadership

SAS

CDISC

Regulatory

ICH/FDA

Statistical programming

Team mentoring

Communication

Education

PhD in Biostatistics

Tools

SAS

R

Job description

Erasca, Inc. is seeking a Senior Vice President of Biometrics to lead Biostatistics, Statistical Programming & Analysis, and Clinical Data Management from IND-enabling through registration and launch.

This role combines executive leadership with hands-on execution and cross-functional collaboration. The ideal candidate has 15+ years in pharma/biotech biometrics, a PhD in statistics/biostatistics, and a proven track record in oncology drug development and regulatory interactions, with strong