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Clinical R Programmer Jobs in Seattle, WA (NOW HIRING)

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

SAS, Python, and R programming knowledge is a plus. * Familiarity with CDISC standards (CDASH, SDTM ... Eagerness to learn in a fast-paced, clinical-stage biopharmaceutical environment. * Oncology ...

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

SAS, Python, and R programming knowledge is a plus. * Familiarity with CDISC standards (CDASH, SDTM ... Eagerness to learn in a fast-paced, clinical-stage biopharmaceutical environment. * Oncology ...

Clinical Data Manager

Redmond, WA · On-site

$100K - $170K/yr

Biostatisticians, Statistical Programmers, Medical Monitors, Clinical Scientists, Clinical Project ... Run SAS and/or R programs, review SAS and/or R logs, troubleshoot errors, and generate output.

Clinical Data Manager

Redmond, WA · On-site

$100K - $170K/yr

Biostatisticians, Statistical Programmers, Medical Monitors, Clinical Scientists, Clinical Project ... Run SAS and/or R programs, review SAS and/or R logs, troubleshoot errors, and generate output.

Experience with SAS/R, SQL programming, and data manipulation. * Familiarity with clinical trial data standards (CDISC SDTM, ADaM), experience with TLF generation preferred. * Experience integrating ...

Experience with SAS/R, SQL programming, and data manipulation. * Familiarity with clinical trial data standards (CDISC SDTM, ADaM), experience with TLF generation preferred. * Experience integrating ...

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Clinical R Programmer information

See Seattle, WA salary details

$28

$73

$116

How much do clinical r programmer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for clinical r programmer in Seattle, WA is $73.71, according to ZipRecruiter salary data. Most workers in this role earn between $61.01 and $83.41 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 job categories do people searching Clinical R Programmer jobs in Seattle, WA look for? The top searched job categories for Clinical R Programmer jobs in Seattle, WA are:
Statistical Programmer III/IV

Statistical Programmer III/IV

Fred Hutchinson Cancer Research Center

Seattle, WA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 130 employees and is currently managing over 40 active phase I – III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Statistical Programmer III/IV to provide statistical programming expertise within SCHARP by coordinating with statisticians to write efficient, re-usable, and easily maintainable code that access, analyze and report data descriptives and analyses.

This position can be offered fully remote:


May include some or all of the following:

  • Gather and document requirements for developing or modifying existing programs and systems.
  • Define and edit mock tables, listings and figures (TLFs) and analysis dataset specifications.
  • Generate, document, and maintain analysis datasets.
  • Develop scripts for wrangling / data transformation.
  • Create ad hoc, standard and study-specific reports (e.g. SMC, DSMB, SMB, Assay QC); may perform cross- study reporting.
  • Test and de-bug programs and maintain version control on production programs and scripts.
  • Design and develop new work instructions (WIs) and updates to existing WIs.
  • May coordinate efforts to standardize WIs or processes across studies.
  • Develop and maintain automation of routine analysis data and reporting tasks.
  • Contribute to good programming practices, and cross-group programming initiatives and code libraries.
  • Work with clinical programmers, lab programmers, statisticians, and other statistical programmers to resolve data quality, processing, and analysis issues.
  • Contribute to mentoring and training of junior Statistical Programmers and may supervise as needed.
  • Other duties as assigned.

MINIMUM QUALIFICATIONS:

Statistical Programmer III

  • Bachelor’s degree in Public Health, Statistics, Computer Science, or directly related fields.
  • 4 years of experience as SAS or R programmer on PC/Unix platform.
  • Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
  • Demonstrated ability to multi-task and appropriately prioritize work assignments.
  • Knowledge of and experience with clinical trials research data or experience in data wrangling /transformation within a health-related field.
  • Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
  • Advanced SAS or R programming skills.
  • Strong reporting and SAS macro or R package development abilities.
  • Knowledge of SAS or R (including graphics experience) and other programming languages.
  • Ability to use Perl or other scripting languages for text manipulation and automated job control.

Statistical Programmer IV

  • Bachelor’s degree in Public Health, Statistics, Computer Science, or directly related fields.
  • 5 years of experience in SAS or R programming, with additional experience in other programming languages including a scripting language; R programmers will have experience using version control tools (e.g. git or svn).
  • 4 years of experience in support of clinical trials, in a clinical research setting or other health research setting, or in data wrangling /transformation within a health-related field.
  • Demonstrated ability to communicate effectively in a matrix management environment as a member of several project teams.
  • Demonstrated ability to multi-task and appropriately prioritize work assignments.
  • Knowledge of and experience with clinical trials research data.
  • Knowledge of and experience with biostatistics or statistical analyses in a clinical trials setting.
  • Knowledge of both SAS and R (including graphics experience) and other programming languages.
  • Strong reporting and SAS macro or R package development abilities.
  • Advanced SAS or advanced R programming skills.
  • Ability to use Perl or other scripting languages for text manipulation and automated job control.

PREFERRED QUALIFICATIONS:

Statistical Programmer III

  • Graduate degree in Computer Science or a scientific, technical, or health-related field.
  • Preferred experience programming in support of clinical trials, statistical programming in a clinical research setting or other health research programming support.
  • R programmers will have experience using version control tools (e.g. git or svn).
  • Knowledge of CDISC standards (SDTM and ADaM).
  • Experience using version control tools.

Statistical Programmer IV

  • Graduate degree in Computer Science or a scientific, technical, or health-related field.
  • Knowledge of CDISC standards (SDTM and ADaM).

Statistical Programmer III: The annual base salary range for this position is from $99,486 to $157,227, and pay offered will be based on experience and qualifications.

Statistical Programmer IV: The annual base salary range for this position is from $109,699 to $173,347, and pay offered will be based on experience and qualifications.
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).


We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.