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

NYULMC

Data Scientist & Engineer

New York, NY · On-site

By teaming up with clinicians, operations, and administrative teams, the individual will develop ... Proficiency in at least one programming language (Python, R) and machine learning tools ...

MM International

Data Scientist

New York, NY · Remote

Relevant clinical development experience (programming, RBM/RBQM, Data Management), for example: o ... Exposure to R, Python, or JavaScript and/or clinical data visualization tools/platforms.

Flagler Health

Vice President, Engineering

New York, NY · Remote

$184K - $237K/yr

Flagler Health is building the clinical operating system for modern musculoskeletal care. We ... As VP of Engineering, you will lead a distributed engineering team across NYC and Vancouver while ...

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

Clinical R Programmer information

See Princeton, NJ salary details

$25

$67

$107

How much do clinical r programmer jobs pay per hour?

As of Aug 7, 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 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 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:
Clinical R Programmer jobs near you
Infographic showing various Clinical R Programmer job openings in Princeton, NJ as of August 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution, with an average salary of $141,234 per year, or $67.9 per hour.

Computational Biologist I, Clinical Data Mining (CDM)

Msk

New York, NY

Full-time

Posted 9 days ago

Job description

About Us:

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK: At Memorial Sloan Kettering (MSK), we're not only changing the way cancer is treated, we're changing the way the world understands it. To help make cancer data more accessible, actionable, and impactful at MSK and beyond, we are seeking a Computational Biologist to join the Clinical Data Mining (CDM) team, one of several teams supporting the Cancer Data Science Initiative (CDSI).

In this role, you will collaborate with researchers, oncologists, data scientists, and engineers across MSK to develop machine learning (ML) and natural language processing (NLP) solutions that automate the extraction, standardization, and curation of clinically relevant data from unstructured sources. The mission of CDSI is to accelerate translational research by transforming real-world clinical data into high-quality, research-ready resources. Through the abstraction and integration of patient data from diverse clinical systems, CDSI enables clinicians, biologists, and computational scientists across the institution to access de-identified data that fuels discovery and innovation. Teams supporting CDSI have also developed widely adopted cancer research resources, including cBioPortal and OncoKB, which are used by thousands of researchers and clinicians worldwide.

As a Computational Biologist, your work will directly support institutional research projects, including enterprise curation, health disparities research supported by the Geoffrey Canada Center for Translational Cancer Disparities Research, and Cancer AI Alliance (CAIA) use cases. Through these efforts, you will help generate and curate data resources that power scientific discovery, advance cancer research, and ultimately improve patient outcomes.

Role Overview:

  • Partner with clinicians, researchers, engineers, and data scientists to support institutional cancer research initiatives.

  • Develop and maintain data pipelines to extract, transform, and integrate clinical, genomic, imaging, and other healthcare datasets.

  • Build and deploy machine learning (ML), natural language processing (NLP), and AI-based solutions for clinical data extraction and curation.

  • Leverage large language models (LLMs) and emerging AI technologies to improve data abstraction and research workflows.

  • Collaborate with cross-functional teams to translate research questions into scalable computational solutions.

  • Support enterprise curation efforts that make high-quality clinical data available to investigators across MSK.

  • Contribute to the development of cloud-based infrastructure and analytics tools supporting translational research.

Key Qualifications:

  • Bachelor's degree in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, Data Science, or a related discipline with 2+ years of relevant experience; or a Master's degree in a related field.

  • Experience programming in Python and/or R.

  • Working knowledge of SQL and relational databases.

  • Experience applying machine learning and/or NLP methodologies.

  • Experience working with source control systems such as Git/GitHub.

  • Experience using cloud platforms or cloud-based data environments.

  • Strong communication and collaboration skills with both technical and non-technical stakeholders.

Preferred Qualifications:

  • M.S. or Ph.D. in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, or a related field.

  • Experience building and deploying machine learning models in research or production environments.

  • Knowledge of NLP methodologies and AI-driven applications.

  • Experience with large language models (LLMs), prompt engineering, and AI APIs.

  • Familiarity with healthcare, clinical research, bioinformatics, cancer genomics, or clinical informatics.

  • Experience with cloud technologies such as AWS, Azure, Google Cloud Platform, or Databricks.

  • Experience working with electronic health records (EHRs), clinical data warehouses, or healthcare datasets.

Core Skills:

  • Passion for applying computational methods to cancer research.

  • Strong analytical and problem-solving abilities.

  • Experience collaborating across multidisciplinary teams.

  • Effective communication skills with technical and non-technical audiences.

  • Interest in AI, machine learning, and clinical data science.

  • Adaptable, self-motivated, and eager to learn.

  • Ability to manage multiple priorities in a fast-paced environment.

Additional Information:

  • Schedule: Full-time, 37.5 hours per week

  • Location: 323 East 61st Street, New York, NY (Hybrid, 2 days onsite)

  • Reporting To: Senior Computational Biologist II

Helpful Links:

  • Compensation Philosophy

  • Benefits

Pay Range: $83,800.00 - $134,000.00FSLA Status: Exempt

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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