Job Description

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 sectors. Our core values are Empowering Community through generosity, curiosity, and humility. We are working with urgency to bring better therapies to patients faster. Position Overview The Sr Staff Data Scientist, Biostatistics is a key leader in the Quantitative Sciences (QS) team, responsible for ensuring rigorous and fit-for-purpose statistical designs and analyses to meet NPM’s vision and product claims. Working with a multidisciplinary team, this role will help fundamentally change the “how” of oncology clinical development. Responsibilities include collaborating with QS experts, Clinical Science, Product, Oncology Data Specialists, and other partners to conduct next-generation external control arms (ECAs) that integrate retrospective and prospective real-world data with clinical trials. The leader also develops and ensures adherence to processes for data collection, harmonization, quality control, management, analysis, and reporting. We are open to hybrid on-site in Redwood City, CA, or remote work. Role Objectives and Responsibilities Build expertise in prospective ECAs and hybrid controls combining retrospective and prospective real-world data with clinical trials. Develop statistical methodologies to mitigate biases in external control and hybrid studies using observational data. Mentor internal teams on methodologies, best practices, innovative trial designs, and statistical reporting. Collaborate with Clinical Science and Commercial teams to provide statistical leadership for clinical development projects, study plans, regulatory strategies, and evidence plans. Work with Data and Technology teams to define data requirements and collection processes for ECAs. Support study design, including sample size calculations, data needs, and bias mitigation strategies. Develop study protocols and statistical analysis plans. Lead or support analysis execution, including algorithm development and scalable tools. Communicate novel methodologies and co-author publications, presentations, and regulatory reports. Participate in discussions on data strategy and workflow development. Develop tools, algorithms, and pipelines to support study delivery, product offerings, and data quality. Qualifications and Skills PhD in Statistics or Biostatistics with 6+ years of relevant oncology clinical trial experience. Experience applying advanced analytics and high-dimensional data analysis to oncology data. At least 3 years as a Project Data Science Lead in a clinical environment. 2+ years in oncology clinical trial statistics. Expertise in epidemiology, survival analysis, causal inference, and study design. Proficiency in R, SAS, and/or Python. Strong communication, collaboration, and project management skills. Ability to work in a fast-paced, startup environment with an entrepreneurial spirit. Generous, curious, humble, and driven to deliver results. Additional Information Travel may be required. Salary range is $186,000–$259,000, based on experience and location. We offer equity, bonuses, benefits, and a flexible work environment. We are an equal opportunity employer committed to diversity. Covid-19 Policy: No mandatory vaccination, but safety measures may vary. Applicants must be authorized to work in the U.S. full-time. We do not sponsor visas. For legitimacy, apply only through our official careers site. #J-18808-Ljbffr N-Power Medicine

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