1

Clinical R Programmer Jobs in Princeton, NJ (NOW HIRING)

... and clinical operation. * Familiar with regulatory submission process in US and EU. Skills * In-depth knowledge of statistical principles, applications, and SAS/R programming software. * Strong ...

... Pre-Clinical, RWD and 'omics platforms. This role will be a leading technical contributor and ... Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ...

... Pre-Clinical, RWD and 'omics platforms. This role will be a leading technical contributor and ... Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ...

next page

Showing results 1-20

Clinical R Programmer information

See Princeton, NJ salary details

$25

$67

$107

How much do clinical r programmer jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for clinical r programmer in Princeton, NJ is $67.90, according to ZipRecruiter salary data. Most workers in this role earn between $56.20 and $76.88 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 are popular job titles related to Clinical R Programmer jobs in Princeton, NJ? For Clinical R Programmer jobs in Princeton, NJ, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Princeton, NJ look for? The top searched job categories for Clinical R Programmer jobs in Princeton, NJ are:
What cities near Princeton, NJ are hiring for Clinical R Programmer jobs? Cities near Princeton, NJ with the most Clinical R Programmer job openings:
Infographic showing various Clinical R Programmer job openings in Princeton, NJ as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $141,234 per year, or $67.9 per hour.

Senior Manager, Clinical Data Management

Summit Therapeutics

Princeton, NJ โ€ข On-site

Other

Posted 23 days ago


Job description

Overview of Role:

Summit is seeking an experienced, detail-oriented Sr. Manager of Clinical Data Management with a strong background in oncology Phase III clinical trials. This role will lead and oversee clinical data management activities, ensuring the integrity, quality, and timeliness of clinical data across multiple oncology studies.

Role and Responsibilities:

  • Lead and manage clinical data management activities for multiple oncology clinical trials, ensuring adherence to project timelines, budgets, and quality standards.
  • Provide strategic oversight and direction to CRO clinical data management teams for assigned studies.
  • Develop and implement data management plans, case report forms (CRFs), edit checks, and data validation plans in alignment with study protocols and regulatory requirements.
  • Oversee the design, build, and validation of clinical databases using Medidata Rave EDC, ensuring optimal configuration and functionality.
  • Conduct thorough reviews of clinical data, identifying trends, inconsistencies, and potential issues that may impact data quality or study outcomes.
  • Collaborate with cross-functional teams including Biostatistics, Clinical Operations, Safety, and Regulatory to ensure alignment of data management strategies with overall clinical development goals.
  • Lead the selection, oversight, and performance management of external data management vendors.
  • Develop and maintain SOPs, guidelines, and best practices for clinical data management processes.
  • Represent the Clinical Data Management function in internal and external meetings, providing expert guidance on data-related matters.
  • Stay current with industry trends, regulatory requirements, and technological advancements in clinical data management, particularly in the oncology field.
  • All other duties as assigned

Experience, Education and Specialized Knowledge and Skills:

  • Bachelor's degree in Life Sciences, Computer Science, or a related field; advanced degree preferred.
  • A minimum of 8+ years of clinical data management experience in the biotechnology or pharmaceutical industry, with at least 3 years in a leadership role.
  • Extensive experience managing Phase III oncology clinical trials data, including a deep understanding of oncology-specific data requirements and challenges.
  • Expert-level proficiency with Medidata Rave EDC, including system configuration, form design, and edit check programming.
  • Strong knowledge of clinical research processes, FDA & ICH guidelines, GCP, GCDMP, and CDISC standards.
  • Demonstrated experience in CRO and vendor oversight.
  • Excellent project management skills with the ability to manage multiple studies simultaneously.
  • Strong analytical and problem-solving skills with meticulous attention to detail.
  • Outstanding communication and interpersonal skills, with the ability to effectively collaborate with diverse stakeholders.
  • Proficiency in Microsoft Office Suite and familiarity with statistical software (e.g., SAS, R) is a plus.
  • Preferred Qualifications:
  • CCDM (Certified Clinical Data Manager) certification
  • Knowledge of emerging technologies in clinical data collection and management (e.g., ePRO, AI/ML applications)
  • Preference will be given to candidates who can work a hybrid schedule at our Menlo Park, CA office