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

R-112209 Medical Assistant

Lynnwood, WA ยท On-site

$19.75 - $25.25/hr

The magic we've created lies in Carbon Health's custom EHR and the collaboration among clinical teams, engineers, and designers who work side-by-side to deliver innovation like our hands free AI ...

Develop and disseminate a variety of tools designed to access relevant clinical and sample data ... R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary ...

Senior Biostatistician

Seattle, WA ยท On-site +1

$140K - $170K/yr

... and clinical trials datasets. The ideal candidate will provide statistical consultation for ... Supervise biostatisticians and SAS programmers, providing leadership in statistical design ...

Python (numpy/pandas), basic R (Seurat/tidyverse), bash; Git; Linux. 2. NGS data processing ... with biologists/clinicians. 8. Linux/HPC usage; Slurm job submission, resource requests, and ...

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Clinical R Programmer information

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$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 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:
Post-Doctoral Research Fellow

Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center

Seattle, WA โ€ข On-site

$55K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Job description

Overview
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.
This position is for a Post-Doctoral Research Fellow to engage in biomedical studies that apply Artificial Intelligence (AI) approaches and methods with the long-term objective of improving clinical cancer care. The training, project development, and application will be mentored by Dr. Peter Nelson and Dr. Jeff Leek, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate 'patient similars' or 'digital twins'. The studies will also develop methodology to produce synthetic control cohorts for comparative assessments against novel therapeutics evaluated in clinical trials. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.
The Fred Hutch Data Science Lab is involved in large, education focused initiatives and biomedical research funded by NIH grants. These projects involve delivering training materials to researchers to help catalyze their work in a scalable manner, as well as innovating new methods for understanding or treating disease.
Our key projects include.
  • Primary research using Artificial Intelligence (AI) and bioinformatics and biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information.
  • Analysis of large-scale clinical, genomic, and molecular datasets.
  • Development and evaluation of predictive models and statistical approaches to understand treatment outcomes.
  • Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity.
  • Collaboration with multidisciplinary teams to interpret findings and support translational applications.

Responsibilities
Specifically, the postdoc will have the following duties:
  • Developing new statistical models leveraging public and investigator collected biomedical data relating to the diagnosis and treatment of patients with cancer.
  • Writing new R packages or Shiny Apps for implementation of developed methodology.
  • Applying AI and machine learning (ML) tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses.
  • Developing benchmarks and working together with staff to evaluate algorithms on those benchmarks.
  • Contributing to writing papers and review of the current literature.
  • Other duties as assigned.

Qualifications
MINIMUM QUALIFICATIONS:
  • A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline
  • Creative, thoughtful, and a communicative collaborator
  • Familiarity with Python, R, R packages, and RMarkdown
  • Experience with version control using GitHub
  • A willingness to learn new informatics content
  • A careful writer and diligent editor
  • Experience with statistics and machine learning

PREFERRED QUALIFICATIONS:
  • Experience using computational methods to analyze large-scale high-dimensional biomedical data relating to clinical information, genetics, genomics, radiomics, and/or population-based outcomes.
  • Strong track record of peer-reviewed publications, high-impact manuscripts, patents, or translational tools relevant to position.
  • Experience collaborating with clinicians, industry partners, or translational research teams.
  • Experience with Quarto, Python, and/or other programming languages.
  • Experience and interest in data science or informatics education.
  • Experience with deep learning applications for biomedical research or other aspects of scientific inquiry or data analysis.

The annual base salary range for this position is from $80,172 to $95,014, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.
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, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).
Additional Information
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.