Doctorate in Biostatistics, Data Science or related field with 3-4 years experience, or Master's with 6-7 years, or Bachelor's with 7-8 years experience
Strong analytical thinker with excellent communication skills
Proficient R programmer familiar with tidyverse and Git
Solid experience with creating Tables, Listings, and Graphs in R
Knowledge of ICH guidelines and regulatory authority guidance
Extensive experience with large healthcare datasets, including claims and EMRs
Experience leading teams as manager or project/team lead
Familiar with CDISC conventions and SAS
Responsibilities
Deliver customized real-world data solutions for life sciences partners
Translate analytic specifications into R code for analytic datasets
Act as subject matter expert on Flatiron's data modalities
Understand cancer biology and therapy across multiple tumor types for analytic code
Mentor junior statistical programming staff
Collaborate with cross-functional stakeholders for accurate research delivery
Contribute to improving Flatiron's analytical tools and templates
Benefits
Mentorship exposure in a progressive environment
Collaboration with leading experts in life sciences research
Opportunities for professional development in real-world data methodologies
Participation in impactful client-sponsored research studies
Full Job Description
Responsibilities:
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
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 Client 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
Work closely with Epidemiology and Biostatistics to assure output quality by providing expert feedback on SAP, Analytic/TLF specifications from functional perspective
Requirements:
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 cdegree with 7-8 years of relevant experience
In addition, you're an analytical thinker and excellent communicator with experience analyzing real-world data (e.g., healthcare claims or electronic health records)
Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (e.g., Github, Gitlab)
Solid experience in creating Tables, Listings, and Graphs using R packages
Create/review programming documents (e.g., programming plan, specification for datasets and output template)
Knowledge of ICH guidelines, FDA / EMA / other regulatory authority guidance from a programming standpoint
Extensive experience with large healthcare-related datasets (e.g., administrative claims, electronic medical records, genomics)
Experience leading teams, either as a manager or project/team lead
Familiar with CDISC conventions, i.e. SDTM and ADaM models (using SAS) and related controlled terminologies, and knowledge or some experience using these models
