Senior Biometrics Informatics Lead - SCE & Vendors

USDM Life Sciences; Redwood City (CA); Hybrid; USD 103,000 - 124,000; Full time

Job summary

USDM Life Sciences is seeking a Senior Biometrics Informatics Consultant to lead the vision, vendor evaluation, and implementation of a new Statistical Computing Environment. You will partner with Clinical Data Management, Biostatistics, and Pharmacology to scale support for a growing clinical portfolio.

The role requires 5+ years in drug development SBI/biotech contexts, expertise in SAS/R, and experience with validated systems in GxP environments.

Qualifications

• Five+ years leading or supporting Statistical Computing Environment implementations in the drug-development industry.
• Experience leading vendor selection and implementation of validated systems in biotech or pharmaceutical environments.
• Strong knowledge of SAS and R programming practices in clinical development.
• Experience gathering requirements from Biostatistics, Statistical Programming, and Clinical Pharmacology teams.
• Experience working in GxP environments, including computer system validation and SOP-driven processes.
• Clinical data standards experience.
• Experience with AI-assisted SAS or R coding.

Responsibilities

• Lead requirements gathering and vendor evaluation for a new Statistical Computing Environment.
• Develop the current-state system and interface map and create the vendor-selection scorecard.
• Coordinate pilots, vendor selection, and purchasing activities.
• Lead solution configuration, implementation, and validation with internal teams and vendors.
• Serve as the technical lead and subject-matter expert throughout implementation and handover.
• Performs other related duties and assignments as required.

Skills

SAS

R programming

Education

Bachelor’s degree in Computer Science or Information Systems or related field

Master’s Degree preferred

Job description

USDM Life Sciences is seeking a Senior Biometrics Informatics Consultant to lead the vision, vendor evaluation, and implementation of a new Statistical Computing Environment. You will partner with Clinical Data Management, Biostatistics, and Pharmacology to scale support for a growing clinical portfolio.

The role requires 5+ years in drug development SBI/biotech contexts, expertise in SAS/R, and experience with validated systems in GxP environments.