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Clinical R Programmer Jobs in Washington (NOW HIRING)

Altimmune

Senior Director, Biostatistics

Gaithersburg, MD · On-site +1

... Clinical Science, Statistical Programming, Data Management, Regulatory Affairs, Medical Affairs ... Proficiency in SAS and/or R. * Excellent communication, collaboration, and leadership skills, with ...

Gritter Francona

Lead Data Scientist

Washington, DC

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 ...

Gritter Francona

Lead Data Scientist

Washington, DC · On-site +1

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 ...

Emmes

Senior Biostatistician

Rockville, MD · Remote

... 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 ...

Emmes

Senior Biostatistician

Rockville, MD · Remote

... 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 ...

Axle

Data Scientist II

Rockville, MD

... 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 ...

Axle

Data Scientist II

Rockville, MD

... 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 ...

Axle

Data Scientist II

Rockville, MD · On-site

... 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 ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Washington

Clinical R Programmer information

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 does a clinical programmer do?

A clinical programmer develops and maintains software for clinical trials, including programming data collection, validation, and analysis tools. They work with statistical teams to generate reports and ensure data accuracy, often using programming languages like SAS or R in a regulated environment.

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.

Is clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the healthcare and pharmaceutical industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience. The role typically requires strong analytical skills and knowledge of clinical trial processes.

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 is the salary of a clinical data programmer?

The salary of a clinical data programmer typically ranges from $70,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with advanced skills in SAS, R, or SQL can earn higher salaries. Many roles also offer benefits such as health insurance and flexible schedules.

Which is better, CDM or SAS?

For a Clinical R Programmer, SAS is a widely used statistical software in clinical trials and regulatory submissions, offering robust data management and analysis capabilities. CDM (Clinical Data Management) refers to the process of handling clinical data, often using tools like SAS or dedicated CDM systems; the choice depends on project needs, but SAS proficiency is highly valued in the field.
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Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Washington as of June 2026, with employment types broken down into 9% As Needed, 16% Full Time, 70% Part Time, 1% Temporary, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
NLM Data Scientist (Clinical Data Lead)

NLM Data Scientist (Clinical Data Lead)

Ripple Effect

Rockville, MD • On-site

$108K - $124K/yr

Full-time

Posted 19 days ago

Job description

General Information
  • Job Code: SHR-DM-04T
  • Location: Client/NIH Main Campus
  • Employee Type: Exempt, Full-Time Regular (Ask our recruiters about flexible work arrangements)
  • Telework: None/Client Site
  • Clearance: Public Trust
  • Salary Range: $108,321.00 - $124,569 (how we pay and promote)

Position Overview
Are you passionate about managing information to drive innovation and impact that support cutting edge biomedical research and high-performance computing environments?
Ripple Effect is seeking a highly skilled Data Scientist with 10+ years of experience to support our client's mission. The Data Scientist will play a key role in supporting the National Library of Medicine (NLM) - a global leader in biomedical research and data science - in its efforts to accelerate biomedical discovery and improve public health through data-powered research. This role will lead advanced data management tasks, including designing reports, performing complex analyses, and ensuring adherence to quality standards. You will oversee documentation and compliance processes while mentoring colleagues on technical and communication practices.
Responsibilities
  • Technical Execution: Designs data reports, oversees complex data management tasks, and reviews teamwork for accuracy and completeness. Recommends improved methods for managing datasets, enhancing workflows, and ensuring deliverables follow established standards.
  • Communication: Leads communication of data findings and project updates, prepares and reviews formal reports, and validates data requirements with stakeholders to ensure clarity, alignment, and feasibility throughout the project lifecycle.
  • Schedule & Timelines: Tracks and reports on data management project progress, anticipates risks to schedules, and supports internal and client facing updates to keep deliverables on track.
  • Quality Management: Ensures adherence to data quality protocols, evaluates data for accuracy and completeness, and implements corrective actions when nonconformities are identified.
  • Data Analysis: Performs advanced data analyses to address client or project needs, synthesizes complex datasets into actionable insights, and guides colleagues on best practices in interpretation and analytical rigor.
  • Regulatory & Contractual Compliance: Reviews adherence to data regulations and contractual requirements, identifies compliance risks, and recommends actions to maintain proper governance.
  • Problem Solving & Continuous Improvement: Develops project work plans, addresses complex data integration or workflow issues, and drives continuous improvement efforts to enhance efficiency and data reliability.

Requirements
Minimum Education & Experience
  • Bachelor's degree in data analytics, mathematics or relevant fields, advanced degree preferred.
  • 10+ years of relevant experience, additional education substitutes for experience.
  • Education or experience in science, health or research is required.

Basic Requirements
  • Experience with data modeling and design in areas including physical data structures, normalization, data dictionaries and managing data relationships.
  • Experience with database management & SQL development including designing and managing relational databases, writing complex SQL queries with inner and outer joins, creating views and reports, and working with platforms such as Oracle, Microsoft SQL Server, and Microsoft Access.
  • Experience with data analytics, analysis, and visualization including descriptive, predictive, prescriptive, and diagnostic analytics; identifying patterns and trends and creating reports/dashboards to meet business needs.
  • Intermediate experience with IT project management tools such as Jira, Asana, GitLab/GitHub or similar tools.
  • Intermediate experience with statistical programming such as Python, R, or similar languages.
  • Intermediate experience with office productivity software such as Office 365 including Word, PowerPoint, Excel and Outlook.
  • Intermediate experience with data visualization tools such as Tableau, Power BI or similar tools.
  • Must be able and willing to work onsite multiple days per week in Bethesda, MD.

Skills That Set You Apart
  • Certificate in data analysis, data visualization or relevant programming languages such as R or Python.
  • Experience with data governance and use in areas including data use agreements, informed consent, service level agreements, data sharing and regulatory alignment (HIPAA, GDPR, CCPA).
  • Experience with data domain areas in areas including business data (e.g., HR, accounting), health IT and EHR data, grants data, economic data, labor and statistics data, or other project-specific datasets.
  • Intermediate experience with master data management (MDM) and data catalog/lineage such as Informatica, Collibra/Alation, Microsoft Purview or similar tools.
  • Intermediate experience with database cloud platforms and warehouses such as AWS (Redshift, RDS), Azure (Synapse, SQL MI) or similar.
  • Intermediate knowledge of AI tools, including their limitations and risks, and how they can be applied to support project management tasks.

Benefits
Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences.
Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify.

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