Jobs at N-Power Medicine

Lead day-to-day execution and continuous improvement of the Quality Management System and clinical trial quality oversight. Administer and optimize the electronic QMS, manage CAPA, audits, document control, vendor management, and SDLC compliance for regulated software. Mentor a small quality team, partner cross-functionally with clinical and engineering teams, and ensure regulatory compliance with GCP, 21 CFR Part 11, ISO 9001 and FDA requirements.

Lead product development lifecycle, release management, and quality for clinical-facing software. Translate product requirements into engineering work, manage sprints, backlog, QA and A/B testing, ensure regulatory and quality readiness, and coordinate cross-functional stakeholders to deliver roadmap commitments.

Support HR team with end-to-end onboarding/offboarding, maintain employee records across platforms, administer background checks and payroll inputs, coordinate Day 1 IT setup, assist event logistics, and perform general HR administrative duties and documentation.

Provide Tier 1/2 remote IT support, manage corporate IT systems and applications, onboard/offboard employees, patch and maintain laptops via Iru MDM, enforce security controls (MFA/SSO), handle Zoom A/V issues, maintain inventory, and use Jira for ticketing and tracking.

Lead identification, structuring, and execution of trial- and enterprise-level partnerships with pharma/biotech. Build executive relationships, create proposals/SOWs, negotiate contracts, coordinate cross-functional teams, manage alliances, and drive sales of external control arms and real-world data products.

Lead Quantitative Sciences for oncology clinical development, designing and executing externally controlled and hybrid studies. Develop statistical methodologies for bias mitigation, design protocols and analysis plans, implement analyses and scalable tools, mentor teams, collaborate cross-functionally on data requirements, and communicate results via publications and regulatory reports.

Work on-site at a Los Gatos clinical oncology site to support clinical trial activities: interface with providers and patients, obtain informed consent, ensure protocol adherence and data quality, perform clinical documentation review, assist recruitment and trial initiation, escalate data queries, and provide feedback on the company's software while fostering collaborative clinical relationships.

Own the final stage of the clinical data pipeline: clean, transform, and validate datasets from manual abstraction, AI models, and electronic sources into analysis-ready deliverables. Use R/Python/SQL to generate reports, ensure data integrity and regulatory compliance, automate workflows, and collaborate with Clinical Ops, AI Engineers, and Data teams while maintaining documentation and privacy standards.