Job Description
Reimagine the infrastructure of cancer care within a community that values integrity, inspires growth, and is uniquely positioned to create a more modern, connected oncology ecosystem.
We’re looking for a Research Scientist to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?
What You’ll Do
In this role, you will work as a member of the Research Sciences (RS) department, primarily supporting the Custom Solutions and Services (CSS) team within the Global Evidence business unit. The primary focus for this role is leading execution of real-world data analytics for commercial use cases in biopharma. You may also design and conduct observational research for medical affairs, HEOR, and market access functions, project workload allowing.
Specific responsibilities include:
- Provide subject matter expertise and analytic support for commercial pharma use cases (e.g. market tracking, market segmentation, competitive positioning).
- Design studies leveraging electronic health record (EHR)-derived RWD, develop protocols and statistical analysis plans, oversee the execution of studies in collaboration with statistical programmers, and succinctly summarize and interpret results
- Work collaboratively with cross-functional stakeholders such as project managers and oncologists to execute and deliver on client-sponsored research studies in an accurate, effective, and timely manner
- Build subject matter expertise and discuss capabilities of a variety of different Flatiron data modalities, including EHR-derived real-world data, clinico-genomics data, and claims data, with biopharma clients
- Continue to develop a deeper understanding of real-world data and related methodologies used to generate real-world evidence
- Contribute to improvement initiatives that introduce efficiency into our ways of working and accelerate our ability to generate evidence for our clients
Who You Are
You’re a kind, passionate and collaborative problem-solver. In addition, you’re an analytical thinker and excellent communicator with experience developing real-world evidence from real-world data (e.g., healthcare claims or electronic health records). You are excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day.
- You hold a PhD degree in Epidemiology, Health Services Research, Health Economics and Outcomes Research, or a closely related field with 2 - 3 years of relevant experience (can include work experience before graduate school) or a Master’s degree in one of these fields with 4 - 5 years of relevant experience
- You have experience working in a pharmaceutical/HEOR consulting environment
- You have an understanding of commercial biopharma analytics for Oncology, including knowledge of common analytic approaches, an ability to articulate strengths and weakness of common real-world data sources (e.g. claims, EHR), and experience employing descriptive and predictive analytics.
- You have experience and are comfortable programming in R to conduct an analysis upon real-world data to meet project objectives (or another programming language and are committed to developing your skill in R)
- You have strong organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and implement multiple high-visibility projects in a timely fashion
- You are comfortable working closely with clients to refine and deliver high-quality studies that meet their needs
- You have the ability to work effectively in a constantly changing, diverse, and matrix environment
- You are able to quickly learn and apply new information, skills and procedures
- You are passionate about our mission to improve healthcare through technology
Where you’ll work
In this hybrid role, you’ll have a defined work location that includes work from home and 3 office days set by you and your team. For more information on our approach to hybrid work, please visit the how we work website.
