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: 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 Conduct analysis to support discussions with clients about the utility of panoramic solutions for customer use cases 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.
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Job Type
Full-time
Career Level
Mid Level