Senior Vice President, Biometrics

Department: Clinical

Employment Type: Full Time

Location: Remote

Kriya is a biopharmaceutical company whose mission is to develop life-changing gene therapies for diseases affecting millions of patients around the world.

We leverage our proprietary computational engine, in-house manufacturing infrastructure, and integrated design platform to engineer technologies and therapeutics with the potential to transform the treatment of a broad universe of diseases of high unmet need, with a focus on metabolic disorders, neurology, and ophthalmology.

We are proud to have been named Triangle Business Journal’s Life Sciences 2024 “Best Private Company to Work For,” recognized by Forbes as one of “America’s Best Startup Employers of 2024,” and honored as one of Bio Space’s “2025 Best Places to Work.”

The Senior Vice President, Biometrics leads all biometrics functions at Kriya Therapeutics, including biostatistics, statistical programming, and clinical data management. This leader sets the statistical and data strategy across the clinical pipeline, ensures the integrity and quality of data supporting regulatory submissions, and builds the team and systems needed to move programs from early clinical studies through registration. The role is a key member of the clinical development leadership team and a trusted partner to Clinical, Regulatory, Translational, CMC, and Quality.

The SVP will apply deep expertise in rare and common disease trial design, novel endpoints, and natural history and external control approaches to a modality where the data package must be both rigorous and efficient.

Key Responsibilities

• Strategy and leadership. Define and execute the biometrics vision, operating model, and multi-year roadmap aligned to the clinical development plan. Serve on the clinical development leadership team and represent Biometrics to executive management and the Board as needed.
• Biostatistics. Provide statistical leadership for trial design, sample size, endpoint selection, adaptive and Bayesian methods, interim analyses, and statistical analysis plans across all programs. Lead use of natural history data, external controls, and real-world evidence in support of development and regulatory strategy
• Regulatory interaction. Lead biometrics content and strategy for FDA, EMA, and other health authority interactions, including pre-IND, End-of-Phase meetings, Scientific Advice, INDs, and BLAs/MAAs. Ensure submission-ready datasets, ADaM/SDTM packages, and define files meet CDISC and agency standards.
• Statistical programming and data standards. Oversee SDTM and ADaM development, TLFs, integrated summaries, and programming validation. Establish standards, metadata repositories, and reusable macros that support quality and speed.
• Long-term follow-up and safety data. Partner with Clinical Safety and Clinical Operations on data strategy for long-term follow-up required for gene therapy programs, including DSMB and independent data monitoring committee support.
• Vendor and CRO oversight. Select, govern, and manage CROs and technology vendors for biometrics services, with clear performance metrics, quality agreements, and budget accountability.
• Clinical data management. Ensure high-quality, inspection-ready data collection, cleaning, and database lock across internal and CRO-managed studies. Oversee EDC selection and build, data review, external data integration, and risk-based quality management.
• Quality and compliance. Ensure compliance with GCP, ICH, 21 CFR Part 11, and applicable data privacy requirements. Maintain inspection readiness and lead biometrics participation in audits and inspections.
• People and organization. Lead, develop, and retain a high-performing…