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Clinical R Programmer Jobs in Simsbury, CT (NOW HIRING)

JOURNEY FOUND

Director of Support Services

Manchester, CT · On-site

$70K/yr

C. Facilitates the team review and the approval of semi annual summaries of completed programming ... R. Develops and maintains a good rapport with funding agencies, keeping them informed of critical ...

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Clinical R Programmer information

See Simsbury, CT salary details

$25

$65

$104

How much do clinical r programmer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for clinical r programmer in Simsbury, CT is $65.72, according to ZipRecruiter salary data. Most workers in this role earn between $54.38 and $74.38 per hour, depending on experience, location, and employer.

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 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 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 cities near Simsbury, CT are hiring for Clinical R Programmer jobs?

Cities near Simsbury, CT with the most Clinical R Programmer job openings:

Clinical R Programmer jobs near you

Postdoctoral Associate | Beck Lab

The Jackson Laboratory

Farmington, CT • On-site

$75K/yr

Full-time

Re-posted yesterday

The Jackson Laboratory rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 120 rated laboratories

Job description

The Beck Lab is seeking an enthusiastic, independent, and highly motivated postdoctoral fellow to join our innovative research group at the Jackson Laboratory for Genomic Medicine and University of Connecticut Health Center in Farmington, CT. The Beck lab uses and develops genomic and transcriptomic techniques to identify variation within repetitive and complex regions of mammalian genomes. As a postdoctoral fellow in the Beck lab, you would lead projects examining the mechanisms and consequences of structural variants across human and mammalian organisms.
To accomplish these goals, the fellow will analyze existing genomic and transcriptomic data with computational tools to identify novel loci of interest, and will execute laboratory experiments to test the consequences of genomic variation. Fluency with multiple experimental techniques coupled with ability or a willingness to learn Python or R and common bioinformatics tools is required to carry out analyses and prepare results for publication. Experience with cell culture, and in particular iPSCs, will be beneficial for these projects.
Key Responsibilities:
  • Conduct cell culture, molecular biology and biochemistry experiments
  • Maintain lab equipment, reagents, and follow safety protocols
  • Author manuscripts and grant applications
  • Present results at lectures and conferences
  • Use bioinformatics tools to analyze genomic and transcriptomic data from human and mouse samples
  • Interpret variation, variant mechanisms, and the effect of variants on transcription
  • Contribute to project planning and implementation
  • Perform data curation and maintain documentation
  • Generate reproducible analysis and properly use statistics to support observations
  • Collaborate with a multidisciplinary team of researchers who perform bench and computational experiments

Preferred/bonus skills:
  • Experience with iPSC culture and differentiation
  • Knowledge of structural variation and variant mechanisms
  • Experience using computational libraries for tabular data and statistical analysis
  • Experience executing jobs and pipelines in a high-performance computing cluster
  • Experience working in a Linux command-line environment

Qualifications:
  • PhD in Physiology, Molecular Biology, Genetics, Biomedical Engineering, or a related field
  • Strong publication record in peer-reviewed journals
  • Excellent communication and teamwork skills, with the ability to work independently and collaboratively
  • Experience using statistical inference to support results

Application Instructions: Please submit your current CV, at least 2 letters of reference, and a 1-page (maximum) statement
JAX Salary:
Year 0 - 1: $65,589
Year 1 - 2: $67,318
Year 2 - 3: $69,095
Year 3 - 4: $70,521
Year 4 - 5: $72,877
Year 5 - 6: $75,569
Based on years of experience as Postdoc
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visit www.jax.org.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.

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