Senior Biostatistician

🕒 January 29

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N-Power Medicine, Inc.

WebsiteLinkedInAll Job Openings

11 - 50 employees

🧬 Biotechnology

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Biotechnology • Healthcare Insurance • Pharmaceuticals

N-Power Medicine, Inc. is a company focused on transforming the drug development process within the oncology field through an innovative clinical trial platform. Their solutions aim to accelerate oncology drug development by providing comprehensive, standardized data collection, expert staffing support, and real-time analysis capabilities. N-Power Medicine partners with oncologists, biopharma companies, and patient advocacy groups to overcome the challenges of slow drug development, limited clinical trial access, and suboptimal real-world data. By leveraging their N-Power Platform, they aim to unlock critical insights from routine care data, improve clinical trial adoption, and empower oncology practices to become high-performing research centers.

📋 Description

• Build expert capabilities in prospective ECAs and hybrid controls combining retrospective and prospective real world-data with single arm and randomized controlled trials. • Provide expertise for developing statistical methodologies that mitigate selection, confounding, and measurement bias in external control and hybrid control studies. • Guide and mentor internal teams on novel methodologies, best statistical practices, and innovative clinical trial designs. • Collaborate with Clinical Science and Commercial teams for innovative clinical development projects. • Define data requirements and data collections processes to enable next generation ECAs. • Lead or support research study design and end-to-end delivery, including study scoping and development of study protocols. • Co-author communications of study results in peer-reviewed publications and presentations.

🎯 Requirements

• 5+ years of industry/research experience or equivalent experience. • PhD in Statistics, or Biostatistics, or Related Field. • Expert knowledge of theoretical and applied statistics, including inferential methods for time-to-event analysis, survival analysis, and causal inference methods. • Expertise in design and analysis of externally controlled studies and hybrid controls including propensity score methods, endpoint measurement bias correction methods, and external patient borrowing bayesian and frequentest methods. • Fundamental understanding of clinical- and efficacy endpoints used in oncology development. • Experience collaborating with clinical-, biomarker-, and imaging scientists, to apply statistical methods to oncology drug development. • Extensive experience with programming in R and/or Python.

🏖️ Benefits

• equity at hire • discretionary annual bonus based on Company performance • company benefits • flexible work environment • competitive industry benefits • 401K plan • company perks