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

Proven experience wrangling large healthcare datasets and translating clinical concepts into structured queries. * Proficiency in SQL and at least one programming language (e.g., Python or R) for ...

Proven experience wrangling large healthcare datasets and translating clinical concepts into structured queries. * Proficiency in SQL and at least one programming language (e.g., Python or R) for ...

Proven experience wrangling large healthcare datasets and translating clinical concepts into structured queries. * Proficiency in SQL and at least one programming language (e.g., Python or R) for ...

Senior Manager, Scientific AI Engineer

Bothell, WA ยท On-site

$139.10K - $231.90K/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. The annual base ...

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 ...

Research Consultant 2 (Temp)

Seattle, WA ยท On-site

$120.37K/yr

... settings of pre-clinical models of disease and aging. Specifically, the lab utilizes ... R). RESPONSIBILITIES Research Data Processing: * Process raw sequence data including quality ...

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

See Seattle, WA salary details

$28

$73

$116

How much do clinical r programmer jobs pay per hour?

As of Jun 2, 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 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 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 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 cities near Seattle, WA are hiring for Clinical R Programmer jobs? Cities near Seattle, WA with the most Clinical R Programmer job openings:
Infographic showing various Clinical R Programmer job openings in Seattle, WA as of May 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% In-person job distribution, with an average salary of $153,327 per year, or $73.7 per hour.
Partner Data Analyst

Partner Data Analyst

Truveta

Seattle, WA โ€ข On-site

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Job description

Partner Data Analyst
Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta' s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values.
Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required at least once per year for an onsite meeting.
For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote
Who We Need
Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you.
This Opportunity
The analytics Rapid Response Team (RRT) sits within Truveta's broader Partner Insights and Enablement team and plays a critical role in coordinating with internal teams and supporting customers to get fast, high-quality answers from Truveta data. As a Partner Data Analyst on the RRT team, you will help ensure customers find value in the data, supports issue investigation, and build confidence in the platform through efficient, responsive analytics. You will support data quality efforts, conduct analyses, answer customer questions, and support new data releases. You will be solving consequential problems in healthcare using an EHR database of ~100 million patients (and growing!) and make an impact on patient care. As a Partner Data Analyst, you will work at the intersection of EHR data knowledge and efficient data delivery. You'll support feasibility analyses, quickly summarize patient populations, and assist in identifying and tracking data issues. This position is ideal for someone with hands-on experience working with EHR or healthcare data, strong data wrangling skills, and a passion for translating data into actionable insights.
Responsibilities
  • Proven experience wrangling large healthcare datasets and translating clinical concepts into structured queries.
  • Proficiency in SQL and at least one programming language (e.g., Python or R) for data analysis and pipeline development.
  • Ability to work cross-functionally in a fast-paced, collaborative team environment.
  • Comfort summarizing populations or generating feasibility numbers from clinical data quickly and accurately.
  • Use technical skills to scope out customer analyses requests, produce studies and results using SQL, R and Python within an agreed upon deadline.
  • Collaborate with life science, academic research organizations, and health system partners to conduct analyses.
  • Collaborate with success managers and support team to ensure that Truveta partners can be successful with the platform.
  • Required to excel in providing technical analytics support as well as directly working with customers on calls to troubleshooting code and platform questions.
  • Work with customers to achieve their goals, teaching them how to wrangle and analyze data using SQL, R and Python on RWD to address their empirical questions.
  • Collaborate closely with other Truveta teams to conduct investigations of data sources to demonstrate veracity to current customers.
  • Deliver feedback to internal teams based on customer requests to inform Truveta's product roadmap.

Required Skills
  • Undergraduate or graduate level educational in clinical research, data analysis, clinical informatics or related field.
  • Experience working with large relational database consisting of millions of patients' data.
  • 2+ years of experience wrangling and analyzing Electronic Health Record data or other Real World Data sources in life science companies, CROs, other EHR data companies or healthcare using SQL, R and Python.
  • Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, NDC or RxNorm.
  • Willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts.
  • Experience working with customers delivering high quality research analyses.
  • Ability to learn and adapt quickly in a dynamic start-up environment.

Preferred Qualifications
These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don't already have experience with them.
  • Experience working with unstructured clinical data or natural language processing outputs
  • Spark/PySpark experience
  • Regex query writing experience
  • Experience building cohort definitions or eligibility criteria for research studies or trial design

Why Truveta?
Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together.
We Offer:
  • Interesting and meaningful work for every career stage
  • Great benefits package
  • Comprehensive benefits with strong medical, dental and vision insurance plans
  • 401K plan
  • Professional development & training opportunities for continuous learning
  • Work/life autonomy via flexible work hours and flexible paid time off
  • Generous parental leave
  • Regular team activities (virtual and in-person as soon as we are able)
  • The base pay for this position is $94,000 to $120,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options.

If you are based in California, we encourage you to read this important information for California residents linked here.
Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don't meet all of the requirements.
Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.