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 working with urgency to bring better therapies to patients faster.
Requirements
- Deep expertise in R programming (package development, reproducible pipelines, RMarkdown/Quarto, Shiny, tidyverse/dplyr).
- Experience with clinical research data (RWD, EHR/EMR, claims, registries, clinical trial data).
- Proven track record of building scalable, validated analytical tools that empower non-technical users to generate insights.
- Demonstrated ability to translate technical capabilities into accessible, productized solutions used across teams.
- Knowledge of data engineering practices (version control, CI/CD, workflow orchestration).
- Strong understanding of causal inference, survival analysis, and endpoint development in regulatory-relevant contexts.
- Experience with external control arms (ECAs) and prospective RWD studies, preferably with experience in oncology.
Responsibilities
- Develop analytics endpoints and frameworks in R for prospective ECA and retrospective RWD studies, ensuring reproducibility, transparency, and scalability across multiple indications.
- Design and own reusable data science tools/products that enable broader teams—clinical, product, biostatistics, and external collaborators—to access data, derive insights, and run analyses without deep programming expertise.
- Create standardized, validated endpoints that can be used repeatedly across studies, accelerating timelines and improving comparability of results.
- Collaborate with cross-functional teams to define requirements, prioritize features, and deliver solutions that are intuitive, scientifically rigorous, and research-ready.
- Act as both builder and product leader: scope, prototype, and productionize solutions while ensuring they align with broader business strategy and are adopted by stakeholders.
- Champion democratization of data and insights by building tools, documentation, and workflows that expand access and usability across the organization and network.
- Mentor and guide teammates, contributing to a culture of technical excellence, transparency, and knowledge-sharing.
Other
- 5+ years of progressive experience in data science and healthcare research.
- Excellent communication skills and ability to engage both technical and non-technical stakeholders.
- Bias for action and problem solving - we are looking for builders to join the team and help us build toward a big vision.
- Generous, Curious & Humble.
- Ability to travel may be required from time to time.
