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Vp Biometrics Jobs (NOW HIRING)

Ocugen Inc

VP/SVP Head of Clinical Development

Malvern, PA · On-site

$78K - $107K/yr

Position Summary The VP/SVP, Head of Clinical Development provides strategic, scientific/medical ... Partner closely with Clinical Operations and Biometrics to ensure effective study execution and ...

Cytel

Vice President, Business Development

Cambridge, MA · On-site +1

From innovative trial design, end-to-end biometrics to real-world evidence, value and access, we ... We are seeking a Vice President, Business Development with extensive experience in Large Pharma ...

Mineralys Therapeutics

Director, Statistical Programming

OR · Remote

$235K - $248K/yr

Director Statistical Programmer The Director Statistical Programing (SP) reports to the SVP, Biometrics and is accountable for the production of SDTM and ADAM datasets and Tables, Listings, and Graph ...

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How much do vp biometrics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for vp biometrics in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What is the difference between Vp Biometrics vs Biometrics Analyst?

AspectVp BiometricsBiometrics Analyst
Required CredentialsBachelor's degree, experience in biometrics, leadership skillsBachelor's or master's in computer science, cybersecurity, or related field
Work EnvironmentExecutive-level, strategic planning, cross-department collaborationTechnical, data analysis, biometric data processing
Employer & Industry UsageTech companies, security firms, healthcare organizationsResearch institutions, security agencies, biometric service providers
Common Search & ComparisonYesYes

The Vp Biometrics typically holds an executive role focused on strategic oversight and leadership in biometric projects, while a Biometrics Analyst is more technical, handling data analysis and biometric system implementation. Both roles require relevant credentials, but the Vp Biometrics emphasizes leadership and strategic planning, whereas the Biometrics Analyst concentrates on technical expertise and data processing.

How does a VP of Biometrics typically interact with clinical project teams during drug development?

A VP of Biometrics collaborates closely with clinical project teams by overseeing the design and analysis of clinical trials, ensuring statistical integrity and regulatory compliance. They provide strategic guidance on study protocols, data management, and statistical methodologies, working alongside clinical operations, medical, and regulatory teams. Regular meetings and cross-functional reviews are common, as the VP of Biometrics ensures that all biometrics deliverables align with project timelines and objectives. This role also involves mentoring biometrics staff and facilitating communication between upper management and technical teams.

What does a VP of Biometrics do?

A VP of Biometrics is a senior executive responsible for overseeing all aspects of biometrics operations in clinical trials and research within pharmaceutical, biotech, or healthcare organizations. This includes managing teams in biostatistics, data management, and statistical programming to ensure the accuracy, integrity, and regulatory compliance of clinical data. They play a key role in strategic planning, resource allocation, and providing scientific leadership, often collaborating with other departments to support drug development and regulatory submissions. Their goal is to ensure that data-driven decisions are made effectively to advance research and development objectives.

What are the key skills and qualifications needed to thrive as a VP of Biometrics, and why are they important?

To thrive as a VP of Biometrics, you need advanced expertise in biostatistics, clinical trial data analysis, and regulatory compliance, typically supported by a graduate degree in statistics, biometry, or a related field. Familiarity with SAS, R, CDISC standards, and experience guiding teams through FDA and EMA submissions are essential. Strong leadership, strategic thinking, and communication skills set exceptional candidates apart by enabling effective cross-functional collaboration. These competencies ensure the delivery of robust statistical strategies and regulatory submissions vital to successful drug development.
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Vp Biometrics jobs near you
Head of Biometrics

Head of Biometrics

Stratacuity: Proven Scientific Placement

Watertown, MA

Other

Posted 9 days ago

Job description

Our Watertown based client is seeking a VP level Head of Biometrics to lead biostatistics and statistical programming across clinical and translational development. This role owns statistical strategy, clinical trial design, analysis planning, and delivery of high‑quality data outputs that support decision‑making, publications, and regulatory submissions. You’ll partner closely with clinical, data management, translational sciences, and regulatory teams to drive rigorous, data‑driven development.

Key Responsibilities

  • Lead statistical strategy from study design through regulatory submission.
  • Provide expertise in protocol design, randomization, sample size, and SAP development.
  • Oversee statistical deliverables including SAPs, TFLs, integrated summaries, and exploratory analyses.
  • Serve as the statistical lead in regulatory interactions and ensure global compliance (FDA, EMA, ICH).
  • Manage statistical programming and ensure high‑quality datasets and analysis outputs.
  • Build and lead a high‑performing biometrics team; manage CROs and external partners.
  • Support biomarker strategy and exploratory data analyses for target engagement and patient selection.
  • Establish SOPs, data governance practices, and contribute to broader data strategy.

Required Qualifications

  • Advanced degree in Biostatistics, Statistics, Mathematics, or related field
  • PhD + 10+ years industry experience
  • MS + 15+ years industry experience
  • Proven leadership in biostatistics/biometrics within biotech or pharma.
  • Strong knowledge of statistical methods, clinical trial design, and regulatory requirements.
  • Oncology development experience strongly preferred.
  • Experience managing vendors and building biometrics infrastructure.
  • Excellent communication skills and ability to translate complex statistical concepts.
  • Strategic, detail‑oriented, and committed to scientific rigor.

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