Jobs at N-Power Medicine

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.

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.

Abstract and curate high-quality oncology clinical data from multiple EHR platforms into proprietary or third-party EDCs, ensuring compliance with SOPs and GCP. Collaborate with quality, biostatistics, and engineering to resolve data issues, improve processes, and support platform development for regulatory-grade datasets.