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Clinical R Programmer Jobs in Washington, DC (NOW HIRING)

Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes; * Proven experience integrating clinical ...

... clinical research required. * 1-3 years Strong programming skills in SAS and/or R required. Why work at Emmes? At Emmes, your actions and hard work will have a direct impact on public health ...

... clinical research required. * 1-3 years Strong programming skills in SAS and/or R required. Why work at Emmes? At Emmes, your actions and hard work will have a direct impact on public health ...

... clinician-researchers, data engineers, software developers, and government stakeholders to ensure ... Strong proficiency in Python and R for analysis, scripting, and visualization. Hands-on experience ...

... clinician-researchers, data engineers, software developers, and government stakeholders to ensure ... Strong proficiency in Python and R for analysis, scripting, and visualization. Hands-on experience ...

... clinician-researchers, data engineers, software developers, and government stakeholders to ensure ... Strong proficiency in Python and R for analysis, scripting, and visualization. Hands-on experience ...

... clinical trial data, registries, and survey data, using statistical tools such as SQL, R, SAS ... Strong quantitative and analytical skills, with demonstrated experience in statistical programming ...

Biostatistician II

Washington, DC · On-site

$140K - $180K/yr

... and clinical trials, applying advanced causal inference methods to generate credible, decision ... Demonstrated programming skills in SAS (required), R (optional) or Python (optional), including ...

Biostatistician I

Washington, DC · On-site

$112K - $140K/yr

... with R or Python experience a welcome complement to your core programming toolkit. Beyond the ... and clinical trials, applying advanced causal inference methods to generate credible, decision ...

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Clinical R Programmer information

See Washington, DC salary details

$28

$73

$116

How much do clinical r programmer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for clinical r programmer in Washington, DC is $73.36, according to ZipRecruiter salary data. Most workers in this role earn between $60.72 and $83.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Clinical R Programmer, and why are they important?

To thrive as a Clinical R Programmer, you need a solid background in statistics, R programming, and clinical trial data analysis, often supported by a degree in statistics, biostatistics, or a related field. Expertise in SAS, CDISC standards (SDTM/ADaM), and familiarity with clinical data management systems are commonly required. Attention to detail, problem-solving skills, and effective communication enable you to interpret data accurately and collaborate with cross-functional teams. These skills are vital for ensuring reliable statistical outputs that support regulatory submissions and data-driven decisions in clinical research.

What are Clinical R Programmers?

Clinical R Programmers are professionals who use the R programming language to manage, analyze, and visualize clinical trial data in the pharmaceutical, biotech, or healthcare industries. They play a key role in preparing statistical reports, generating tables, listings, and figures (TLFs), and ensuring data integrity for regulatory submissions. Clinical R Programmers collaborate with statisticians, data managers, and clinical teams to ensure the accuracy and compliance of clinical trial results with industry standards and regulatory requirements.

What are some common challenges faced by Clinical R Programmers when working with clinical trial data?

Clinical R Programmers often encounter challenges such as handling large and complex datasets, ensuring strict compliance with regulatory standards (like CDISC SDTM and ADaM), and maintaining data integrity throughout the analysis process. Collaboration can be demanding, as programmers must frequently coordinate with biostatisticians, data managers, and clinical teams to interpret data requirements and resolve discrepancies. Staying updated with evolving industry guidelines and managing tight project timelines are also common aspects of the role.

What is the difference between Clinical R Programmer vs Clinical SAS Programmer?

AspectClinical R ProgrammerClinical SAS Programmer
Required CredentialsTypically requires a degree in statistics, biostatistics, or related field; proficiency in R programmingUsually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming
Work EnvironmentOften works in research-focused settings, academia, or biotech companies using open-source toolsCommonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS
Industry UsageGrowing in popularity for data analysis and visualization in clinical researchStandard in clinical trial data management and regulatory submissions

While both roles involve programming for clinical data analysis, Clinical R Programmers focus on using R for statistical analysis and visualization, whereas Clinical SAS Programmers primarily use SAS for data management and reporting. The choice depends on the company's preferred tools and project requirements.

What are popular job titles related to Clinical R Programmer jobs in Washington, DC? For Clinical R Programmer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Washington, DC look for? The top searched job categories for Clinical R Programmer jobs in Washington, DC are:
Lead Data Scientist

Lead Data Scientist

Gritter Francona

Washington, DC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

VHA supports and provides medical care for VA's eligible beneficiaries through the VA health program, which includes VA Medical Centers (VAMCs) and contracted health care networks. The Office of Clinical Informatics within the Office of Health Informatics (OHI), Digital Health Office (DHO) advances the enterprise standard of care and patient experience using improved data, tools, and informatics processes organized around continuously delivering value to its customers. This is achieved through Lean-Agile delivery of clinical practice solutions that support best practice standards for clinical care. OHI is further responsible for ensuring the success of the modernized VA EHR, Oracle Health Millennium/Cerner through continuous exploration, integration, deployment and release on demand of Integrated Health Technology (IHT) solutions. These efforts aim to increase Veterans' access to care and support their active participation in their healthcare. Gritter Francona is looking for a Lead Data Scientist to help support a potential project to assist this objective.
Key Responsibilities
  • Serves as the technical lead for advanced analytics, predictive modeling, and machine learning initiatives supporting clinical decision-making and operational optimization.
  • Designs and validate algorithms for interoperability workflows, clinical informatics systems, and Agile integration reporting.
  • Ensures compliance with VA data governance, security, and privacy standards.

Requirements
  • MUST HAVE demonstrated expertise in Agile environments (e.g., supporting PI planning, backlog analytics, velocity metrics); Interoperability standards (e.g., HL7, FHIR) and clinical terminology (SNOMED, LOINC); Programming languages (e.g., Python, R) and frameworks (e.g., TensorFlow, PyTorch); Data visualization tools (e.g., Power BI, Tableau) and ETL processes;
  • Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity
  • Must be eligible to obtain a government clearance
  • Master's degree in Data Science, Computer Science, Health Informatics, or Statistics
  • 10+ years in data science or advanced analytics roles
  • 5+ years applying machine learning and predictive modeling in healthcare or federal health IT environments

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development