Principal, Quantitative Sciences

Summary

Join N-Power Medicine's Quantitative Sciences team as a Principal and play a key leadership role in ensuring rigorous study designs and analyses. Collaborate with a multidisciplinary team to revolutionize oncology clinical development by integrating real-world data with clinical trials. Develop and maintain processes for data management, analysis, and reporting. Support health system and life science partners, contributing to the company's real-world evidence generation platform. Lead and mentor internal teams on novel methodologies and best practices. Translate regulatory agency perspectives on external controls into data capture requirements. This remote position offers a competitive salary and benefits package.

Requirements

• 15+ years of experience with a Bachelor’s Degree, 12+ years of experience with a Master’s Degree and 8+ with a PhD in epidemiology
• Graduate degree in Epidemiology, Biostatistics or Related field, PhD with an emphasis in epidemiology preferred
• Knowledge of RWD study design and execution
• 5+ years in oncology
• Expert knowledge of theoretical and applied epidemiology and 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 abd 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, SAS, and/or Python
• Strong communication and collaboration skills (including statistical consulting skills, and interpersonal skills)
• Ability to work and collaborate in a fast paced, start-up environment
• Entrepreneurial, credible and creative spirit capable of influencing stakeholders to advance the use of ECAs to inform Go no-Go and regulatory decisions
• Excellent project management skills (including ability to manage scope and effectively delegate to other functions, staff, contractors and external vendors)
• Excellent and autonomous drive for results (e.g., demonstrates interest and ability to learn new things, takes initiative, welcomes problems as challenges, proactively finds solutions to technical problems)
• Generous, Curious and Humble

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 mitigate, observed and unobserved confounding, selection, and measurement bias in external and hybrid controlled studies
• Designs, implements, interprets, reports and publishes the results of retrospective and prospective observational research studies that demonstrates the utility of this data for life science partners
• Guides and mentors internal teams on novel methodologies, best statistical practices, innovative clinical trial designs, statistical inference, and reporting statistical results
• Collaborates with the Data and Technology cross functional partners to define data requirements, models and data collections processes to enable next generation ECAs
• Contribute to developing N-Power Medicine’s real-world evidence generation platform, in alignment with the company’s by-protocol, prospective real-time registry data
• Help translate the perspectives and requirements of FDA and regulatory agencies around external controls to inform N-Power ---Medicine's data capture/collection and platform requirements
• Asks the right scientific questions, ideates and makes recommendations on fit-for-purpose data and analytics solutions
• Leads or supports research study design and end-to-end delivery, in particular
• Study scoping, including sample size calculations and identification of data needs
• Design elements, and approach to bias mitigation in the design and analysis phases
• Development of study protocols and statistical analysis plans
• Leads or supports the execution of the analysis plan, including the development of adjacent algorithms and other scalable tools
• Leads the communication of novel methodology developed in the course of the study. Co-authors communications of study results in peer-reviewed publications, presentations, and health authority reports
• Participates in internal, cross-functional discussions on data and platform strategy, and workflow development
• Additional duties and responsibilities as required

Benefits

• The expected salary range for this position is $220,000 - $265,000
• Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law
• N-Power Medicine (NPM) offers equity at hire as well as a discretionary annual bonus which may be available based on Company performance
• This position is eligible for company benefits
• Highly attractive compensation package
• Balanced and flexible work environment
• Competitive industry benefits
• 401K plan
• Other great company “perks.”
• This position is remote within the United States