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Clinical R Programmer Jobs in Mountain View, CA (NOW HIRING)

This role requires strong proficiency in R and/or SAS and understanding of clinical trial processes ... Conduct programming peer reviews, provide technical guidance, and mentor junior programmers to ...

Supira Medical, a clinical-stage Shifamed Portfolio Company, is developing a low-profile, high ... Work closely with the company's R amp;D Engineers to obtain latest product change and identify ...

Clinical Data Scientist

Redwood City, CA · On-site

$132K - $226K/yr

This role sits at the intersection of data science and clinical research, requiring expertise in data cleaning, transformation, and statistical programming (R, Python, SQL) to generate reports and ...

Clinical Data Scientist

Redwood City, CA · On-site

$132K - $226K/yr

This role sits at the intersection of data science and clinical research, requiring expertise in data cleaning, transformation, and statistical programming (R, Python, SQL) to generate reports and ...

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Clinical R Programmer information

See Mountain View, CA salary details

$29

$76

$121

How much do clinical r programmer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for clinical r programmer in Mountain View, CA is $76.41, according to ZipRecruiter salary data. Most workers in this role earn between $63.22 and $86.49 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 Mountain View, CA? For Clinical R Programmer jobs in Mountain View, CA, the most frequently searched job titles are:
What cities near Mountain View, CA are hiring for Clinical R Programmer jobs? Cities near Mountain View, CA with the most Clinical R Programmer job openings:

Clinical Programmer II

Recor Medical

Palo Alto, CA • On-site

Full-time

Re-posted 23 days ago


Job description

At Recor Medical, we are pioneering Ultrasound Renal Denervation (uRDN) therapy to treat hypertension, the leading cardiovascular risk factor in the world. With our Paradise uRDN System, we're on a mission to provide the millions of people who suffer from hypertension with a non-drug and minimally invasive option to lower their blood pressure. Join us on our journey and make a meaningful impact on the lives of people around the globe.

Position Summary

The Clinical Programmer II at Recor Medical develops and maintains advanced programming solutions for clinical trial data management, analysis, and reporting. This role requires strong proficiency in R and/or SAS and understanding of clinical trial processes and operational metrics. Key responsibilities include performing complex data analysis, generating reports, and creating tools to support both clinical research and operational decision-making. The ideal candidate will collaborate with cross-functional teams, mentor junior programmers, and contribute to process improvements. They will demonstrate technical expertise, problem-solving skills, and the ability to work independently and collaboratively, while staying current with industry trends and maintaining high standards of quality and compliance.

Responsibilities and Duties

  • Design, develop, validate, and maintain complex programs to support clinical trial data management processes, including data integration, transformation, and analysis using R, SAS, or other relevant programming languages.

  • Perform advanced data analysis and generate complex reports, tables, listings, and figures to support clinical trial data review, statistical analysis, regulatory submissions, and operational decision-making.

  • Support clinical operational activities by developing and maintaining tools for tracking study progress, site performance, and other key operational metrics, including generating regular reports and dashboards to provide insights into clinical trial operations.

  • Collaborate with cross-functional teams to implement statistical analysis plans and design programming solutions that address specific project requirements.

  • Troubleshoot complex data issues and propose solutions to ensure data integrity and quality throughout the clinical development process.

  • Conduct programming peer reviews, provide technical guidance, and mentor junior programmers to ensure code quality and adherence to standards.

  • Participate in version control using Git and maintain comprehensive documentation for scripts, packages, and applications.

  • Contribute to the development of study documentation, including programming specifications and data management plans.

  • Lead process improvement initiatives to enhance efficiency and quality in clinical programming activities.

  • Stay abreast of emerging trends, technologies, and industry standards (e.g., CDISC) in clinical programming and data management, implementing improvements as appropriate and assisting in preparing for regulatory audits and inspections.

  • Other duties as assigned

Requirements

  • Master's degree in computer science, data science, statistics, life sciences, or related field with 1+ years of experience; or a Bachelor's degree in these fields with 2+ years of professional experience in Clinical Programming, data visualization, business intelligence, or analytics roles.

  • Strong proficiency in R and/or SAS, with experience in other relevant programming languages and tools (e.g., Python, SQL).

  • Demonstrated ability to identify and resolve performance bottlenecks and optimize code for efficiency and scalability.

  • Experience in extracting, cleaning, transforming, and loading data from diverse sources, managing datasets, and ensuring data quality and integrity.

  • Understanding of clinical trial processes and data flow from study setup to database lock.

  • Working knowledge of clinical trial data standards (e.g., CDISC SDTM, ADaM) is strongly preferred.

  • Experience with or understanding of clinical trial operations and associated metrics is highly desirable.

  • Excellent problem-solving and analytical skills, with the ability to translate complex requirements into efficient programming solutions.

  • Experience with version control systems (e.g., Git) and collaborative development practices.

  • Familiarity with tools and techniques for visualizing operational data and creating interactive dashboards (e.g., Tableau, Power BI) is a plus.

  • Ability to mentor junior team members, including conducting code reviews and providing technical guidance.

  • Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.

  • Demonstrated ability to work independently and collaboratively in a fast-paced environment.

  • Commitment to continuous learning and staying updated with emerging trends in clinical programming and data analysis.

Preferred Skills

  • Experience with data visualization tools (e.g., Power BI, Tableau)

  • Proficiency in version control systems (e.g., Git) and collaborative development practices

  • Experience mentoring junior programmers and conducting code reviews

  • Familiarity with cloud-based data platforms and integration technologies

  • Experience with software validation per FDA guidelines

  • Knowledge of machine learning or advanced analytics techniques applicable to clinical data

Salary range: $122,8567 - $132,796 (Annual Base Salary)

The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.


Equal Employment Opportunity
At Recor Medical, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.


Pre-Employment Requirements

At Recor Medical, patient safety, integrity, and regulatory compliance are foundational to everything we do. To support these standards,employmentis contingent upon meeting the following requirements:


  • Background Screening & Drug Testing:Final candidates may be required to successfully complete a background check and/or drug screening, conducted in accordance with applicable laws and regulations.
  • Washington Fair Chance Act Compliance (if applicable):For applicants who reside in or are applying for roles based in Washington State, Recor Medical adheres to the Washington Fair Chance Act. This means we do not inquire about or consider criminal history until after an initial determination has been made that the candidate is otherwise qualified for the role, and we do not automatically exclude individuals based on criminal records.
  • New Hire Training:Allemployees are required to successfully completeRecor training program within their first 90 days of employment as a condition of continued employment.

Radiation Safety Requirement

Certain field-based roles at Recor Medical require work in environments where radiation sources (e.g., x-ray equipment) are in use. Employees in these roles will be issued a personal dosimetry badge to monitor occupational exposure and are required to wear it in accordance with company policy and applicable regulatory standards. This program is designed to ensure compliance with federal and state regulations and to maintain radiation exposure at levels that are As Low As Reasonably Achievable (ALARA). Additional guidance and protective equipment, as necessary, will be provided as part of onboarding and ongoing safety training.


Respecting your privacy is an essential part of the Company's privacy program and we are committed to the proper handling of Personal Information collected or processed in connection with an Applicant's application for employment, a Contract Worker's work, or a Former Employee's employment at Recor. Refer to our Applicant, Contract Worker & Former Employee Privacy Policy for more detail information.