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Clinical R Programmer Jobs in Manhattan, NY (NOW HIRING)

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 ...

About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ... Engineering, Pharmacy, Chemistry, Biology, etc.) ​ Experience & Technical Skills: * Experience in ...

New

About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ... Engineering, Pharmacy, Chemistry, Biology, etc.) ​ Experience & Technical Skills: * Experience in ...

New

About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ... Engineering, Pharmacy, Chemistry, Biology, etc.) ​ Experience & Technical Skills: * Experience in ...

New

About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ... Engineering, Pharmacy, Chemistry, Biology, etc.) ​ Experience & Technical Skills: * Experience in ...

New

... DQ&R), the Associate Director Quality Engineering & Quality Assurance is responsible for ... Clinical Quality Assurance, Clinical Quality Assurance, Combination Products, Computer System ...

... 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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Clinical R Programmer information

See Manhattan, NY salary details

$27

$71

$113

How much do clinical r programmer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for clinical r programmer in Manhattan, NY is $71.49, according to ZipRecruiter salary data. Most workers in this role earn between $59.18 and $80.91 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 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.

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 Manhattan, NY? For Clinical R Programmer jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Manhattan, NY look for? The top searched job categories for Clinical R Programmer jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Clinical R Programmer jobs? Cities near Manhattan, NY with the most Clinical R Programmer job openings:
Data Scientist & Engineer

Data Scientist & Engineer

NYU Langone Health

Manhattan, NY • On-site

$84K - $110K/yr

Full-time

Medical, Retirement

Posted 8 days ago


NYU Langone Health rating

8.5

Company rating: 8.5 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

15th of 885 rated healthcare providers


Job description

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram.

Position Summary:
We have an exciting opportunity to join our team as a Data Science Analyst / Engineer.
We are seeking a qualified Data Scientist Analyst to work within the Division of Applied AI Technologies at NYU Langone Health. The individual will be positioned to contribute to analytics efforts at NYU. By teaming up with clinicians, operations, and administrative teams, the individual will develop innovative and impactful data-driven healthcare solutions.

Job Responsibilities:

  • Design and build data solutions using state-of-the-art machine learning and informatics methods.
  • Work with large, complex, and noisy clinical datasets to solve challenging problems in the healthcare domain.
  • Build and engineer workflows to collect, store, clean, and process structured and unstructured data, and verify their integrity and appropriateness for specific business processes and analytics systems.
  • Deploy and integrate these products within the larger ecosystem of healthcare infrastructure at NYULMC.
  • Prepare and present oral and written results and reports to a variety of audiences regarding processes, models, evaluation, and impact (ROI).
  • Lead high-priority data-oriented projects, including development, deployment, and evaluation.
  • Collaborate with associate data scientists, engineers, and clinically trained professionals to test novel approaches and support the implementation, maintenance, and improvement of predictive models.
  • Collaborate with the broader NYULMC healthcare community and contribute to ongoing predictive modeling and analytics efforts.
  • Establish key metrics, run experiments, and perform analyses to understand the incremental impact of efforts to drive adoption and engagement.
  • Contribute to data science best practices and mentor team members to elevate the technical capabilities and impact of the group.
  • Quantify the impact of model improvements and communicate trade-offs to stakeholders.
  • Build evaluation frameworks, validate model behavior prospectively and silently, and oversee ongoing maintenance.
  • Design systems, infrastructure, abstractions, and processes that accelerate development time for future projects.
  • Manage and plan go-live activities and define the necessary steps to ensure timely delivery.
  • Balance perfection with production readiness, iterate quickly, and recognize when a minimum viable product outperforms a six-month research project.
  • Contribute ideas and innovations to solve internal and stakeholder problems.

Minimum Qualifications:
To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science,
Machine Learning, Applied Stascs, Mathematics or similar field) and 3 years of
experience in machine learning/ data science.
Proficiency in at least one programming language (Python, R) and machine learning tools
(scikitlearn, R)
Knowledge of predictive modeling and machine learning concepts, including design,
development, evaluation, deployment and scaling to large datasets
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc.
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.)
Good grasp of soware engineering principles. Experience in integrating modern
software architectures.
Knowledge and some experience in operational aspects of soware development and
deployment, including automation, testing, virtualization and container technology
Knowledge of clinical and operational aspects of healthcare delivery.
Excellent written and oral communication skills for a variety of audiences

Preferred Qualifications:
PhD degree in a quantitative field (Biomedical Informatics, Computer Science, Machine
Learning, Applied Stascs, Mathematics or similar field) + 2 years experience.
Demonstrated skills in design and implementation of complex machine learning models.
Demonstrated knowledge of soware engineering and operational skills through prior
projects.

Qualified candidates must be able to effectively communicate with all levels of the organization.
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $84,577.92 - $110,250.00 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here


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