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Clinical R Programmer Jobs in Santa Clara, CA (NOW HIRING)

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

... stage clinical and commercial experience preferred. • Proficiency in programming languages including SQL, Python and R and data analytics tools, including JMP, Spotfire, Tableau, R-Studio • ...

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Gage R&R, and Process Capability Analysis * Work with suppliers to execute cost reductions ...

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Gage R&R, and Process Capability Analysis * Work with suppliers to execute cost reductions ...

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... R, and process capability analysis * Drive cost reduction, capacity improvement, and risk ...

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... R, and process capability analysis * Drive cost reduction, capacity improvement, and risk ...

Sr. Supplier Process Engineer

Sunnyvale, CA · On-site

$122K - $157K/yr

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Supplier pFMEA, Process Validations (IQ/OQ/PQ), Inspection Reports, Gage R&R, and Process ...

Sr. Supplier Process Engineer

Sunnyvale, CA · On-site

$122K - $157K/yr

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Supplier pFMEA, Process Validations (IQ/OQ/PQ), Inspection Reports, Gage R&R, and Process ...

Showing results 21-40

Clinical R Programmer information

See Santa Clara, CA salary details

$29

$76

$120

How much do clinical r programmer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for clinical r programmer in Santa Clara, CA is $76.07, according to ZipRecruiter salary data. Most workers in this role earn between $62.93 and $86.11 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a Clinical R programmer?

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 is a Clinical R programmer?

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 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 are popular job titles related to Clinical R Programmer jobs in Santa Clara, CA? For Clinical R Programmer jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Santa Clara, CA look for? The top searched job categories for Clinical R Programmer jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Clinical R Programmer jobs? Cities near Santa Clara, CA with the most Clinical R Programmer job openings:
Infographic showing various Clinical R Programmer job openings in Santa Clara, CA as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $158,233 per year, or $76.1 per hour.

Process Engineering Associate I/II, Oncology

BillionToOne

Menlo Park, CA

$104K/yr

Other

Medical, Retirement, PTO

Re-posted 24 days ago


Job description

We are looking for a Process Engineering Associate to join our growing superstar Process Engineering team in support of clinical patient testing in our high throughput CLIA lab. The PEA I is responsible for (1) developing new tools for improved clinical workflow efficiency, (2) analyzing process data to monitor and troubleshoot our high-throughput assays, 3) identifying root causes of recurring errors with proper documentation to enable long term corrective actions. This role will enable an individual to gain both deep and broad experience in the areas of process engineering, data analysis, experimental design, and automation.  This position will also allow time to apply knowledge of coding languages like python and R to real world problems encountered within high paces and dynamic clinical laboratories.  This is considered an onsite role and will require the majority of days to be spent in the Menlo Park office.

Responsibilities:

  • Apply sound engineering practices to scale, optimize, and improve molecular biology methods.
  • Conduct experiments to identify, isolate, and confirm root causes of process errors in our high-throughput molecular biology lab.
  • Develop methods to compile and analyze large amounts of process data to assess for process stability, trending, and areas for improvement.
  • Develop and implement software tools to aid in efficient sample processing within the clinical laboratory. 
  • Develop, implement, and use software tools to quantitatively analyze process efficiency and sources of error, to require moderate proficiency in R or Python.
  • Identify root causes for process and instrument errors and develop short term and long term solutions. 
  • Develop effective training plans for clinical personnel on modified/improved workflows.
  • Support transfer of new technology from Research and Development teams to the CLIA lab.
  • Generate proper documentation for all troubleshooting and qualification.

Requirements:

  • Bachelor's degree or equivalent degree in biology or clinical related sciences
  • At least 6 months of experience with molecular biology techniques in a research or clinical laboratory
  • Excellent attention to detail
  • Effective written and verbal communication skills
  • Possess logical troubleshooting skills
  • Previous automation or clinical laboratory experience is preferred

Nice-To-Haves:

  • Start-up experience
  • Experience with next-generation sequencing (NGS)
  • Knowledge of molecular oncology
  • Experience in a cell-free DNA setting

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings
  • The ability to indirectly or directly change the lives of hundreds of thousands patients
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
  • Extremely generous Family Bonding Leave for eligible employees (16 weeks, paid at 100%)
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Free daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)
  • Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses) (2) generous equity options offering, on top of (3) industry leading company benefits (free healthcare options, 401k match, very generous fully paid paternal leave etc.).

For this position, we offer a total compensation package of $104,322 per year, including a base pay range of $75,029-$85,748 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.