Statistical Programmer III

Katalyst CRO; Raleigh (NC); On-site; USD 80,000 - 120,000; Full time

Job summary

A leading contract research organization in North Carolina is seeking a Mid-Senior level programmer to focus on real-world data analysis. The ideal candidate has a doctorate in a related field and experience with R programming and analytic datasets. Responsibilities include translating specifications into R, mentoring junior staff, and collaborating on client-sponsored research studies. This role offers an opportunity to contribute to important healthcare solutions in a dynamic environment.

Qualifications

• 3-4 years of relevant experience required with a doctorate, or 6-7 years with a master's, or 7-8 years with a bachelor's.
• Experience analyzing real-world data such as healthcare claims or electronic health records.
• Solid experience in creating Tables, Listings, and Graphs using R packages.

Responsibilities

• Provide customized real-world data solutions for research questions.
• Translate analytic specifications into R code to create datasets.
• Mentor junior programming staff and collaborate with stakeholders.

Skills

Analytical thinking

Excellent communication

R programming

Experience in Git-based environments

Statistical analysis

Education

Doctorate degree in Biostatistics/Statistics

Master’s degree

Bachelor’s degree

Tools

R (including tidyverse)

GitHub

SAS

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 degree with 7‑8 years of relevant experience
• Analytical thinker and excellent communicator with experience analyzing real‑world data (e.g., healthcare claims or electronic health records)
• Excellent R programmer (including tidyverse) and proficient working in Git‑based environments (e.g., GitHub, GitLab)
• Solid experience in creating Tables, Listings, and Graphs using R packages
• Experience creating/reviewing 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

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Information Technology

Industries

Pharmaceutical Manufacturing