Npowermedicine

Sr. Staff, Quantitative Sciences

Full timeStaffPosted 12 days ago
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About N-Power Medicine

N-Power Medicine aims to establish a new paradigm in drug development by reinventing the ‘how’ and transforming clinical trials through better integration with clinical practice, ensuring broader participation by physicians and patients. We are building an exceptional multi-disciplinary team with diverse expertise spanning healthcare, engineering, technology and regulatory, and with people who share our core value of Empowering Community through generosity, curiosity and humility.  We are working with urgency to bring better therapies to patients faster. 

Position Overview

The Sr. Staff, Quantitative Sciences is a key leader in the Quantitative Sciences (QS) team and is responsible for ensuring that rigorous and fit-for-purpose statistical designs and analyses are performed to meet NPM’s vision and product claims. Working with a multidisciplinary team, this role will have the opportunity to fundamentally change the “how” of oncology clinical development.  This responsibility includes working in close collaboration with other QS experts, Clinical Science, Product, Oncology Data Specialist (ODS)-certified professionals and other cross functional partners to conduct next generation external control arms (ECAs) that integrate retrospective and prospective real-world data with single arm and randomized clinical trials. Through this collaboration, the Biostatistics leader also works cross-functionally to develop and ensure adherence to appropriate processes for data collection/ingestion, harmonization, standardization, quality control, management, analysis and reporting. 

We are open to hybrid on-site in Redwood City, CA or Remote.  

Role Objectives and Responsibilities
In collaboration with QS leaders, builds expert capabilities in prospective ECAs and hybrid controls  combining retrospective and prospective real world-data with single arm and randomized controlled trials.
Provides expertise for developing statistical methodologies that ...