Research Scientist, Statistical Programming in Bath

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 are looking for a Lead Statistical Programmer who is well-versed in R 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

• Independently translate analytic specifications from a statistical analysis plan into R code to create analytic datasets, generating descriptive and inferential statistics, data visualizations, often involving novel variables or complex statistical methods, in consultation with the study principal investigator.
• Serve as subject matter expert on appropriate use cases for, and nuances of, the variety of different Flatiron data modalities, including EHR-derived real-world data, clinico-genomics data, ML-extracted data, and claims data.
• Develop a proficient understanding of cancer biology, therapy, and/or epidemiology across multiple major tumor types and appropriately apply this understanding when crafting analytic code.
• Provide mentorship and support to more junior statistical programming staff.
• Collaborate with cross-functional stakeholders across our medical and scientific organization to execute and deliver on client-sponsored research studies in an accurate, effective, and timely manner.
• Contribute to continuous improvement of Flatiron's proprietary analytical tooling and templates, at times acting as liaison to the relevant teams and stakeholders.
• Continue to develop a deeper understanding of real-world data and related methodologies used to generate real-world evidence.

Who You Are

• You are a kind, passionate and collaborative problem-solver. In addition, you are an analytical thinker and excellent communicator with experience analyzing real-world data (e.g., healthcare claims or electronic health records).
• You hold a Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field with 3-4 years of relevant experience, or a Master’s degree with 6-7 years of relevant experience or a Bachelor’s degree with 7-8 years of relevant experience.
• You are an excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab).
• You have extensive experience with large healthcare-related datasets (e.g., administrative claims, electronic medical records, genomics).
• 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 lead projects effectively in a constantly changing, diverse, and matrix environment.
• You have a growth mindset, are willing to learn from others, and are dedicated to promoting a psychologically safe environment.

Extra credit

• You have experience working with oncology datasets.
• You can write SQL queries.
• You have experience in predictive modeling.
• You have experience leading teams, either as a manager or project/team lead.

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.