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Clinical R Programmer Jobs in Sunnyvale, CA (NOW HIRING)

Allogene Therapeutics

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 • ...

Exelixis

Biostatistics Manager

Alameda, CA · On-site

$130K - $186K/yr

Work with project team members on developing clinical protocol. Review CRFs, CRF edit checks and ... Expertise with SAS and or R programming is preferred. * Developed and or reviewed SDTM/ADaM ...

Exelixis

Biostatistics Manager

Alameda, CA · On-site

$130K - $186K/yr

Work with project team members on developing clinical protocol. Review CRFs, CRF edit checks and ... Expertise with SAS and or R programming is preferred. * Developed and or reviewed SDTM/ADaM ...

Exelixis

Senior AI Data Scientist I

Alameda, CA

... programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

... programming (R, Python, SQL) and machine-learning techniques, this role executes automated workflows, data quality assurance, and regulatory-compliant outputs within a GxP-governed clinical data ...

Intuitive

Sr. Supplier Engineer

Sunnyvale, CA · On-site

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 ...

Intuitive

Sr. Supplier Engineer

Sunnyvale, CA · On-site

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 ...

Intuitive

Sr Supplier Engineer, NPI

Sunnyvale, CA · On-site

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 ...

Intuitive

Sr Supplier Engineer, NPI

Sunnyvale, CA · On-site

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 ...

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Showing results 41-60

All JobsClinical R Programmer JobsClinical R Programmer Jobs in Sunnyvale, CA

Clinical R Programmer information

See Sunnyvale, CA salary details

$29

$76

$120

How much do clinical r programmer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for clinical r programmer in Sunnyvale, CA is $76.02, according to ZipRecruiter salary data. Most workers in this role earn between $62.93 and $86.06 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 Sunnyvale, CA? For Clinical R Programmer jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Sunnyvale, CA look for? The top searched job categories for Clinical R Programmer jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Clinical R Programmer jobs? Cities near Sunnyvale, CA with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $158,127 per year, or $76 per hour.

Machine Learning Engineer (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$55 - $73/hr

Full-time

Re-posted 9 days ago

Job description

Our client is a leader in healthcare innovation, seamlessly integrating pharmaceutical development, diagnostic solutions, and advanced technology and data capabilities.
Title: Machine Learning Engineer (Contract)
Pay rate: $55-73/hr+ (Depends on experience)
Location: Remote in the US or Canada, or onsite in SSF. Must be available during PST hours.
Duration: Through Dec. 2026 (Likely to get extended)
Overview:
Seeking a Machine Learning Bioinformatics Engineer to develop and deploy advanced ML solutions supporting pharmaceutical R&D. This role focuses on analyzing large-scale, multimodal clinicogenomic datasets (genomic, transcriptomic, clinical, and real-world data) to drive insights into disease biology, patient stratification, and treatment response. Ideal candidates are strong in both machine learning and bioinformatics, with a passion for translating complex data into impactful discoveries.
Key Responsibilities:
  • Build and deploy scalable, production-ready machine learning models
  • Process and analyze genomic and transcriptomic data using bioinformatics pipelines
  • Prepare high-quality, normalized biological datasets for downstream analysis
  • Train large-scale models using frameworks like PyTorch Lightning and Hugging Face
  • Develop cloud-based ML solutions (AWS/GCP) with a focus on scalability and reproducibility
  • Collaborate with cross-functional teams to uncover biomarkers and therapeutic targets
  • Provide technical input and guidance on ML system design and implementation

Qualifications:
  • PhD with 0-2 years of relevant work experience, or MS with 3-5 years of relevant work experience, or BS with 4-7 years of relevant work experience.
  • Proficient programming skills: Strong Python programming skills with extensive experience in ML and data libraries (e.g., NumPy, pandas, PyTorch).
  • Deep ML expertise: Excellent knowledge of modern machine learning methods and development best practices, including training strategies, model validation, performance visualization, and experimental design.
  • Deep bioinformatic expertise: Proficient knowledge of bioinformatic processing pipelines for genomic and transcriptomic variables.
  • Strong knowledge of computational oncology, cancer genomics and analysis of clinicogenomics datasets.
  • Must be authorized to work in the United States

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