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

Elevance Health

Clinical Programs Manager

Iselin, NJ · On-site

$96K - $151K/yr

Clinical Programs Manager Location: This role requires associates to be in-office1 - 2days per week ... programming/options to deliver saving and improved employee health. * Prepares responses to RFPs ...

Jj

Manager, Data Science - Oncology

Titusville, NJ · On-site +1

... 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 ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Princeton, NJ

Clinical R Programmer information

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How much do clinical r programmer jobs pay per hour?

As of Jun 25, 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 does a clinical programmer do?

A clinical programmer develops and maintains software for clinical trials, including programming data collection, validation, and analysis tools. They work with statistical teams to generate reports and ensure data accuracy, often using programming languages like SAS or R in a regulated environment.

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 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.

Is clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the healthcare and pharmaceutical industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience. The role typically requires strong analytical skills and knowledge of clinical trial processes.

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 is the salary of a clinical data programmer?

The salary of a clinical data programmer typically ranges from $70,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with advanced skills in SAS, R, or SQL can earn higher salaries. Many roles also offer benefits such as health insurance and flexible schedules.

Which is better, CDM or SAS?

For a Clinical R Programmer, SAS is a widely used statistical software in clinical trials and regulatory submissions, offering robust data management and analysis capabilities. CDM (Clinical Data Management) refers to the process of handling clinical data, often using tools like SAS or dedicated CDM systems; the choice depends on project needs, but SAS proficiency is highly valued in the field.
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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:
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Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Princeton, NJ as of June 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, Statistical Programming

Kardigan

Princeton, NJ • On-site

Full-time

Posted 29 days ago

Job description

About Us
Kardigan is a heart health company working to make cardiovascular disease preventable, curable and no longer the leading cause of death in the world.
It is Kardigan's mission to develop multiple targeted treatments in parallel that bring people with cardiovascular diseases to the cures they deserve.
Led by Tassos Gianakakos, Jay Edelberg, M.D., Ph.D., and Bob McDowell, Ph.D., Kardigan's co-founders have reunited after leading MyoKardia to discover and develop mavacamten, the first cardiac myosin inhibitor, resulting in an acquisition by Bristol Myers Squibb in 2020.
We have a cutting-edge discovery and translational research platform, a pipeline of late-stage candidates, and an industry-leading team that is driven to improve the lives of patients.
At Kardigan, we are motivated by our values which guide how we work, interact, and achieve our goals. Driven by patients and their families, we are deeply committed to improving the lives of patients and prioritizing their needs above all else. We believe in being authentic-leading with truth to bring out the best in others by creating an environment where every person knows they will be fully accepted. With an eagerness to learn, we encourage the highest levels of curiosity and are open to changing our minds. We are committed to winning as a team with urgency, excellence, and intention, and support each other no matter what role we play or where we sit. Lastly, we strive to enable the impossible because patients are counting on us. We are not afraid to take risks to unlock innovation and advance scientific discoveries.
These values are the foundation of our work, empowering us to make a real difference, every day.
Position Title: Senior Manager, Statistical Programming
Department: Clinical Data Sciences & Analytics
Reports To: Head of Statistical Programming
Location: South San Francisco, CA or Princeton, NJ - On-site 4 days per week (Mon to Thurs)
Job Overview:
The Senior Manager of Statistical Programming will be responsible for leading Statistical Programming activities. It involves hands-on implementation of statistical analyses using SAS/R, as well as performing quality reviews of deliverables, both for in-house analyses and outsourced programming tasks.
This position serves as a critical bridge between Biostatistics and Clinical Data Management (CDM), ensuring the development of CRFs and the delivery of high-quality clinical data. Additionally, this position will play an important role in helping establish SOPs and programming standards and also build our SCE platform.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Key Project Responsibilities:
  • Provides programming leadership and oversee study to compound-level programming deliverable in collaboration with the Stats lead and cross-functional teams.
  • Serve as the lead programmer to reviews SAP, Data Presentation Plan, Table Shell to align with project objectives and ensures clarity and completeness of programming assumptions and requirements.
  • Lead programming team to produce and/or validate SDTM, ADaM and TLF, for CSR and regulatory requests, publication needs, and ad-hoc analyses.
  • Manage CROs and contractors, ensuring compliance, quality of deliverables, timelines, and budget adherence.
  • Collaborate with biostatisticians and clinical development colleagues to develop/review TLF shells, SDTM, and ADaM specifications.
  • Work closely with Data Management and Biostatistics teams to ensure the accuracy of final databases, analyses, and reports.
  • Develop global tools, such as macros or graphical user interface applications, to enhance the efficiency and capacity of the Statistical Programming team.
  • Develops robust program to create define.xml, Leads the NDA eSubmission package preparation.
  • Assist Biometric in building the statistical computing environment (SCE) platform, including designing folder structure and managing access control.

Initiative Responsibilities:
  • Under guidance from Head of Statistical Programming and Compound PL, implement innovative strategies and technologies to enhance programming processes.
  • Working with manager, establish Statistical Programming standard and deploy programming strategies, specifications and programmed analysis.
  • Proactively plan, implement, and identify issues/risks and provide remediation strategies to improve programming capability.

Qualifications and Preferred Skills
Education:
  • Master's degree in Statistics/Biostatistics, Mathematics, Computer Science, or a related field.

Experience and Skill Set:
  • Minimum of 6 years statistical programming experience in the pharmaceutical, biotech or CRO clinical trial environment.
  • Advanced SAS programming skills. Extensive Hands-on experience with SDTM, ADaM, TLF programming
  • Proficient knowledge in the implementation of CDISC standards (SDTM, ADaM) and regulatory submission requirements.
  • Good knowledge of drug development process, study design, statistical methodology, regulatory guidance, statistical concepts, and medical terminology.
  • Broad expertise in statistical programming and in developing computing strategies.
  • In-depth understanding of CDISC standards including SDTM and ADaM models and extensive experience of their implementation in clinical trials.
  • Demonstrated proficiency in using SAS/R to produce analysis datasets and TFLs.
  • Knowledge of data validation, define.xml generation using Pinnacle 21.
  • Results orientated with proven problem-solving skills and a strong interest in ongoing learning.
  • Excellent communication and collaboration skills, with the ability to work closely with cross-functional teams
  • Experience managing outsourced programming activities and overseeing deliverables from CROs and contractors.
  • Adaptable and thrives in a fast-paced, startup environment while managing multiple priorities effectively.
  • Experience with regulatory audits and inspections and IR (e.g., FDA, PMDA, NMPA, EMA) is a strong advantage.

Exact Compensation may vary based on skills, experience and location.
Pay range
$172,000-$234,000 USD

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