Epidemiologist/Biostatistician, Machine Learning Quality

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 Data Curation team within the Core Technologies organization. This team thinks holistically about our end-to-end data collection, curation, and processing to build scaled real-world data solutions. As an RS member on this team, you will support the development and validation of new real-world variables and datasets built using various curation approaches, including human chart review and artificial intelligence/machine learning (AI/ML). 

In this role you will:

• Design and execute studies to characterize the quality and inform fit-for-purpose use of RWD solutions


• Work collaboratively with cross-functional stakeholders such as project managers, ML model developers and oncologists to execute on analyses that inform variable development and quality in an accurate, effective, and timely manner


• Build subject matter expertise in real-world data curation approaches and fit-for-purpose of Flatiron panoramic data solutions for real-world evidence use cases


• Contribute to improvement initiatives that introduce efficiency into our ways of working and accelerate our ability to generate fit-for-purpose scaled RWD solutions


• Support discussions with clients about the utility of panoramic solutions for customer use cases


• Develop external analytic guidance and support communications with clients for use of AI/ML extracted data

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, Biostatistics, Health Economics and Outcomes Research (or a closely related field) with 1-2 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 a deep understanding of observational data and have a track record of success applying epidemiologic approaches to problems in public health and/or pharmacoepidemiology


• You are familiar with AI/ML tools used for unstructured data processes


• You have strong problem solving skills and have experience breaking down complex ambiguous problems and driving towards results in a complex stakeholder environment


• You are proficient programming 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 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

Extra credit 

• You have oncology experience


• You have experience working in a pharmaceutical/HEOR consulting environment

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.