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Assistant R Statistical Programmer Jobs in Illinois

... meetings. Assist manager through contributions to continuous improvement by developing standard ... Bachelor's degree in Computer Science, Statistics, Engineering or related field with minimum 4 ...

Senior SAS Programmer

Winnetka, IL · Remote

$87K - $111K/yr

... statistical programming assignments in SAS and/or R with little supervision. * Accepting responsibilities for coordinating all aspects of assigned projects. * Taking the initiative to assist CAP ...

Statistical Analyst

Evanston, IL · On-site

$70.02K - $80K/yr

Serve on committees related to data structure and governance. * Assist in development of ... Proficiency with SAS or R, and SQL, programming for data management and analysis * Commitment to ...

Our experienced statisticians and programmers develop intellectual property and assets to support ... Experience in SAS and/ or R statistical software packages. * Experience in study design and ...

... R, Statistical Process Control (SPC) to ensure product gauging meets requirements. * Resolve issues and answer questions from Operators as well as from Inspectors and Engineers. * Train other ...

Senior Analyst, Marketing Science

Chicago, IL · On-site

$105.60K - $130.30K/yr

Expert proficiency in SQL and statistical programming languages (R or Python) for data manipulation, statistical analysis, and model building (e.g., Bayesian methods). Demonstrated proficiency with ...

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Assistant R Statistical Programmer information

What is the difference between Assistant R Statistical Programmer vs Data Analyst?

AspectAssistant R Statistical ProgrammerData Analyst
Required SkillsProficiency in R, basic statistical knowledge, programming skillsData manipulation, visualization, statistical analysis, often using R or Excel
Work EnvironmentClinical research, pharmaceutical, or biotech industriesBusiness, marketing, finance, healthcare sectors
CertificationsOften requires a degree in statistics, biostatistics, or related fieldsDegree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common

While both roles involve data analysis and programming skills, the Assistant R Statistical Programmer primarily supports clinical trials and pharmaceutical research, focusing on statistical programming in R. Data Analysts work across various industries analyzing data to inform business decisions. The roles share similar educational backgrounds but differ in industry focus and specific job functions.

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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 perspectivly
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
  • 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