Statistical Programmer (RWE)

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 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

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 Client Solutions organization. This team provides customized real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners. As part of CSS, you will:

• 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 appropriate apply this understanding when crafting analytic code
• Provide mentorship and support to more junior statistical programming staff
• Work collaboratively 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're a kind, passionate and collaborative problem-solver. In addition, you’re an analytical thinker and excellent communicator with experience analyzing 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 Doctorate degree (e.g., PhD, ScD, DrPH) in Biostatistics/Statistics, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field with 2 - 3 years of relevant industry experience, or a Master’s degree and 4 - 5 years of relevant experience or a Bachelor’s degree in one of these fields with 6 - 7 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 experience leading teams, either as a manager or project/team lead
• 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

This role is open to both remote and hybrid work type options. As a hybrid employee, you’ll have a defined work location that includes work from home and 2-3 office days set by you and your team. For more information on our remote-first work type option, please visit the how we work website. #LI-DNP