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Statistical Programmer III
Statistical Programmer IIIKatalyst HealthCares & Life Sciences • Raleigh, NC
Statistical Programmer III

Statistical Programmer III

Katalyst HealthCares & Life Sciences • Raleigh, NC
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.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 (, PhD, ScD, DrPH) in Biostatistics / Statistics, Data Science, Bioinformatics, Biological Sciences, Public Health, Math, or a closely related field with - years of relevant experience, or a Master's degree with - years of relevant experience or a bachelor's cdegree with - years of relevant experience
  • In addition, you're an analytical thinker and excellent communicator with experience analyzing real-world data (, healthcare claims or electronic health records)
  • Excellent programmer in R (including tidyverse) and are proficient working in Git-based environments (, Github, Gitlab)
  • Solid experience in creating Tables, Listings, and Graphs using R packages
  • Create / review programming documents (, 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 (, administrative claims, electronic medical records, genomics)
  • Experience leading teams, either as a manager or project / team lead
  • Familiar with CDISC conventions, SDTM and ADaM models (using SAS) and related controlled terminologies, and knowledge or some experience using these models
  • [job_alerts.create_a_job]

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