Senior 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 Senior 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:

• Develop and own the roadmap to assess quality of LLM-extracted datasets and prioritize resourcing for executing against roadmap
• Design and execute studies to characterize the quality and fit-for-purpose of RWD solutions
• Have accountability for the accurate, effective and timely execution of quality-related analyses by other team members
• Develop a deep understanding of dataset quality and fitness-for-purpose based on the portfolio of quality analyses.
• Drive successful adoption of scaled RWD solutions for internal and external users, including via internal analytic guidance and product improvement opportunities
• Work collaboratively with cross-functional stakeholders such as project managers, ML model developers and oncologists
• 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
• Identify and lead improvement initiatives that introduce efficiency into our ways of working and accelerate our ability to generate fit-for-purpose scaled RWD solutions
• Lead discussions with clients about the utility of panoramic solutions for customer use cases

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 3-4 years of relevant experience (can include work experience before graduate school) or a Master's degree in one of these fields with 6 - 8 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 have a strong knowledge of time to event analysis methods and other epidemiological methods commonly used in retrospective real world evidence generation
• You are familiar with AI/ML tools used for unstructured data processing
• 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 communication, organizational, time-management, prioritization and decision-making skills necessary to evaluate, plan and implement multiple high-visibility projects in a timely fashion
• You can demonstrate agility and devise a path forward without having every detail
• 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.
Preferred Primary Location: Durham hub
The annual pay range reflected above for this position is based on the preferred primary location of the role which is listed in the job description. Salary ranges for other locations vary from the range reflected above. Base pay offered may vary depending on job-related knowledge, skills, and experience. An annual bonus and equity may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered.