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

Systimmune

Biostatistician - Bilingual Mandarin

Redmond, WA · On-site

$80K - $140K/yr

Experience with statistical programming such as SAS, R, Python. * Experience with CDISC and CDASH standards. * Strong knowledge and experience in clinical trial design and data analysis, with ability ...

Pfizer

Senior Manager, Scientific AI Engineer

Bothell, WA · On-site

$139K - $231K/yr

In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to ... Experience working with large, heterogeneous datasets common to Oncology R&D. Additional ...

Carbon Health

R-112209 Medical Assistant

Lynnwood, WA · 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 ...

Uw

Research Scientist/Engineer 3

Seattle, WA

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 ...

Fred Hutch

Data Scientist III

Seattle, WA · On-site

Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation ... Proficiency in R or Python. * Knowledge of statistical analysis, machine learning and predictive ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Seattle, WA

Clinical R Programmer information

See Seattle, WA salary details

$28

$73

$116

How much do clinical r programmer jobs pay per hour?

As of Jun 25, 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 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.
What are popular job titles related to Clinical R Programmer jobs in Seattle, WA? For Clinical R Programmer jobs in Seattle, WA, the most frequently searched job titles are:
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:
Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Seattle, WA as of June 2026, with employment types broken down into 11% As Needed, 2% Full Time, 84% Part Time, 1% Temporary, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $153,327 per year, or $73.7 per hour.
Biostatistician - Bilingual Mandarin

Biostatistician - Bilingual Mandarin

SystImmune, Inc

Redmond, WA • On-site

$80K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

SystImmune is a leading and well-funded clinical-stage biopharmaceutical company located in Redmond, WA and Princeton, NJ. It specializes in developing innovative cancer treatments using its established drug development platforms, focusing on bi-specific, multi-specific antibodies, and antibody-drug conjugates (ADCs). SystImmune has multiple assets in various stages of clinical trials for solid tumor and hematologic indications. Alongside ongoing clinical trials. SystImmune has a robust preclinical pipeline of potential cancer therapeutics in the discover and IND-enabling stages, representing cutting-edge biologics development. We offer an opportunity for you to learn and grow while making significant contributions to the company's success.
The biostatistician will collaborate with the senior level biostatisticians on clinical or non-clinical studies. The successful candidate for this position will leverage data science and statistics expertise to support the data cleaning, visualization, analysis, and reporting for new drug discovery efforts.
This position requires a full-time onsite presence at our Redmond, WA office location.
Responsibilities:
  • Provide data-driven insights and statistical support to clinical teams, offering guidance on data-related challenges and participating in project team meetings as needed.
  • Collaborate with clinical teams on study design and clinical study protocols development.
  • Develop, validate, and maintain programs (eg. SAS program) and conduct comprehensive data analysis using SAS, R, or other statistical software to generate TLFs as needed.
  • Conduct and interpret interim analysis, including statistical and pharmacokinetics analysis, to support clinical decision making.
  • Develop and review SAP, including table/listing/figure shells, and review final SAR and CSR.
  • Oversee and validate CRO programming activities, ensuring accuracy in internally or externally produced SDTM, ADaM, SAS tables, listings, and figures.
  • Conducts quality control of project deliverables, ensuring compliance with data integrity and reporting standards.
  • Perform simulations and ad-hoc statistical analysis when needed.
  • Understand and apply regulatory guidelines and industry standards practices on statistics and SAS programming.

Qualifications:
  • Master's Degree with 3+ years of statistical work experience or PhD in Biostatistics, Statistics, or related field.
  • Fluency in Mandarin.
  • Experience with statistical programming such as SAS, R, Python.
  • Experience with CDISC and CDASH standards.
  • Strong knowledge and experience in clinical trial design and data analysis, with ability to communicate statistical concepts.
  • Strong knowledge in applied statistics and data analysis methodology including regression modeling, categorical data analysis, survival analysis, etc.
  • Strong knowledge of clinical research, drug development process, and medical terminology, and oncology experience preferred.
  • Excellent oral and written communication skills.
  • Excellent presentation skills.
This position will require working some evenings due to collaboration and meetings with our teams in China.
The expected base salary range for this position is $80,000 - $140,000 annually. Actual compensation will be based on a variety of factors, including but not limited to a candidate's qualifications, experience, and skills.
While most offers typically fall within the low to mid-point of the range, we may extend an offer toward the higher end for exceptional candidates whose background and expertise exceeds the requirements of the role.
SystImmune is a leading and well-funded biotech company with a bright future. We offer an opportunity for you to learn and grow while making significant contributions to the company's success. SystImmune offers a comprehensive benefits package including: 100% paid employee premiums for medical/dental/vision, also STD, LTD, a 401(k) plan with a 50% company match of up to 3% and a vesting schedule of only 5 years, 15 PTO days per year, sick leave, plus 11 paid holidays and MORE.
We offer an opportunity for you to learn and grow while making significant contributions to the company's success.
SystImmune is an Equal Opportunity Employer. We welcome diverse talent and encourage all qualified applicants to apply.

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