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

... 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 ...

... using clinical data, with strong emphasis on SAS programming to deliver robust and scalable ... R, Python, or JavaScript and/or clinical data visualization tools/platforms.

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Radiologic Technologist

New York, NY · On-site

$60 - $70/hr

... clinical protocols. * Conduct bone density examinations (DEXA scans) to assess bone health and ... NYS ARRT (R) License & Registration * AHA Basic Life Support Certification * 1+ years experience as ...

Director, Biostatistics

New York, NY · On-site

$190K - $260K/yr

... Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and clinical experiment methodology. * Computational skills using R, and/or SAS, especially ...

Proficiency in at least one programming language (Python, R) and machine learning tools ... of clinical and operational aspects of healthcare delivery. Excellent written and oral ...

In this role, you will partner closely with Oncology scientists, clinicians, and product leaders to ... Experience working with large, heterogeneous datasets common to Oncology R&D. The annual base ...

Biostatistician

Princeton, NJ · On-site

$80K - $140K/yr

Proficiency in statistical programming (R and/or SAS) * Understanding of clinical trial design, endpoints, and regulatory expectations Compensation and Benefits: The expected base salary range for ...

Biostatistician

Princeton, NJ · On-site

$80K - $140K/yr

Proficiency in statistical programming (R and/or SAS) * Understanding of clinical trial design, endpoints, and regulatory expectations Compensation and Benefits: The expected base salary range for ...

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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 13, 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.
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 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.

Principal Data Scientist, R&D Oncology

Jj

Raritan, NJ • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for a Principal Data Scientist, R&D Oncology to join our Data Science and Digital Health team (DSDH). This position will be located at one of our offices in either Spring House PA (preferred), Cambridge MA, or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan, NJ locations.

ThePrincipal Data Scientist, R&D Oncology will support how we advance data capture, build and optimize data workflows and store data by designing and implementing engineering requirements. This role will focus on applications in Oncology R&D and support data projects from across the business including Clinical, Pre-Clinical, RWD and 'omics platforms. This role will be a leading technical contributor and creative problem solver with developing AI-ready data and other routinely used data applications for Oncology R&D.
Key Responsibilities:

  • Design, develop and maintain data pipelines for acquiring, managing and storing Oncology R&D data from diverse sources (e.g. biomarker labs, real-world data sources, pre-clinical applications)
  • Work closely with Data Science and Oncology R&D partnersto understand,documentand prioritize business requirements. Translate these business needs in to high quality data products.
  • Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs.
  • Develop Oncology R&D-specific data repositories by implementing standard enterprise-level data models and create new data models as needed. Leverage cloud-based technology platform to accomplish goals, such as building and maintaining data repositories using AWS S3.
  • Create and optimize data flows for structured and unstructured data using technologies such as Python, R, SQL, AWS services and other relevant tools.
  • Implement quality and performance standards and measure KPIs to determine accuracy and consistency
  • Leverage and implement data versioning and lineage tracking to support data traceability, compliance, maintaining documentation for data architectures and workflows.
  • In adherence to internal standards, implement software development best practices such as Code Versioning, DevOps.

Required Qualifications:

  • Advanced degree (Master's or equivalent) in Computer Science, Engineering, Life Sciences, or other relevant field is strongly preferred. (Bachelor's Degree with experience equivalency may be considered.)
  • 3+ years of experience in data engineering, including data modeling and database design, preferably in the healthcare industry
  • Proficiency in data engineering tools such as Python, R and SQL for data processing as well as cloud architecture (e.g. AWS services, Redshift, FSx, Glue, Lambda.
  • Experience with unstructured database technologies (e.g. NoSQL) as well as other database types (e.g. Graph).
  • Strong skills in analysis, problem-solving, organizational change, project delivery, and managing external vendors.
  • Proven record leading improvement initiatives with multi-disciplinary and remote partners.
  • Demonstrated stakeholder management capabilities- including requirements gathering, business analysis and planning. Must have the capacity to translate discussions into user requirements and project plans.
  • Ability to manage a numerous projects simultaneously, prioritize work, exhibit organizational skills and flexibility to deliver maximum business value.
  • Willingness to conduct periodic travel (<15% of time) to conferences and internal meetings.

Preferred Qualifications

  • Experience with healthcare data standards (e.g. CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM).
  • Exposure to high dimensional data technologies and handling, including imaging.
  • Familiarity with machine learning operations (MLOps) and model deployment.

This position will be located at one of our offices in either Spring House PA (preferred), Cambridge MA, or San Diego CA (La Jolla area). Consideration may be given for our Titusville and Raritan, NJ locations. (No remote option.)

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

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Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis