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

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Process FMEA, Process Capability Analysis, FAIR, Process Validations, and Gage R&R. Qualifications ...

We're a team of engineers, clinicians, and innovators united by one purpose: to make surgery ... Process FMEA, Process Capability Analysis, FAIR, Process Validations, and Gage R&R. Qualifications ...

Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

At least 5 years' experience using SQL, R or python programming against large relational databases ... Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, Statistics or related ...

RF Test Engineer

Mountain View, CA · On-site

$50 - $55/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Use call boxes including, but not limited to, R&S, Agilent, Anritsu, etc. Use internally developed ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

  • Medical

... 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 • ...

Senior AI Data Scientist I

Alameda, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Showing results 21-40

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:

Principal Statistical Analyst

Summit Therapeutics

Palo Alto, CA

Full-time

Posted 2 days ago

New


Job description

Overview of Role: 

The Principal Statistical Analyst will be responsible for supporting and/or leading the statistical programming activities for clinical trial data collection, analysis, reporting, visualization on all Summit drugs. Produce, review program codes and suggest alternative solutions that may be efficient. Allocate resource for project, manage project timeline, control quality of deliverables and ensure compliance of procedure. Interact with statisticians, data management, clinicians, medical writers, medical affairs personnel, and other members of Summit regulatory. 

Role and Responsibilities: 

  • Works closely with Biostatistics to implement statistical analysis of clinical trial data, working closely on the development and validation of ADaM specifications and datasets, and TLFs for analyses to support regulatory, medical affairs, and market access needs 
  • Consolidate heterogeneous data source (e.g. clinical study databases, external databases, real world data) to prepare analysis-ready datasets supporting a particular project, study deliverable 
  • Work closely with Biostatistician to implement CDISC SDTM and ADAM specification datasets 
  • Perform compliance check and resolve any compliance issue during the process 
  • Create documentation for regulatory filings including reviewers guides and data definition documents and ensure compliance per FDA guideline 
  • Perform data analysis, statistical analysis, generate safety and efficacy tables, figures and listings using Base SAS, SAS macros, SAS/STAT, SAS/Graph, SAS/SQL and SAS/OD 
  • Review Data Management Plan, Data monitoring plan and edit check specification 
  • Implement data monitoring listings and SAS edit check to support team data monitoring 
  • Evaluate scope of work for project or ad hoc requests on resource allocation, timeline buildup, and become the stakeholder on delivery 
  • Validate work of other programmer/analysts at CRO or in-house to ensure appropriate validation process 
  • Create, debug, validate or maintain company level macros that streamline repetitive operations to increase programming efficiency 
  • Act as a liaison in study team between statistical programming, and other functional teams as needed 
  • Leads or participates in the development of standard operating procedures (SOP) 
  • Work on improving the efficiency and quality of existing workflows and mentors Statistical Programmers and Statistical analysts 
  • All other duties as assigned 

Experience, Education and Specialized Knowledge and Skills: 

  • Bachelor's or Master's degree in Biostatistics, statistics, computer science or related field 
  • Minimum 7+ years Pharmaceutical/Biotech programming experience. Experience working with Oncology trials preferred 
  • Solid knowledge on CDISC standards including (SDTM, ADaM) 
  • Good understanding and hands on experience on programming support for data monitoring and data clean/query process 
  • Good understanding on clinical data coding dictionaries (MedDRA and WHODD) 
  • High degree of technical competence and communication ability, both oral and written. Competent in SAS programming and Macro development 
  • Working knowledge of current regulatory requirements and ICH guidance with deep understanding on clinical trial compliance requirements; Knowledge of Pinnacle 21 
  • Pharmaceutical experience with clinical trials, including familiarity with expectations of regulatory agencies, especially FDA and EMEA, NDA/BLA or other regulatory filling experience, including ISS or ISE experience 
  • The ability to work well under pressure and shifting priorities, both as a team leader and as a team member 
  • The ability to plan, execute and manage project resources, timeline, and delivery with good skill on setting priorities 
  • Ability to proactively identify and address project uncertainties to minimize risk 
  • Strong problem solving and analytical skills 
  • Fluency in 2 or more or relevant programming languages, such as R, Python will be plus 
  • Ability to communicate clearly both oral and written