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Clinical R Programmer Jobs in Sandy Hook, CT (NOW HIRING)

ICU Medical

Engineer I, Manufacturing

Southington, CT

$74K - $95K/yr

Six-Sigma Methodology (DOE, Process Capability, Gage R&R, etc.) * Knowledge of the Medical Device ... Dedicated and non-dedicated IV sets and needlefree connectors clinically proven to provide an ...

ICU Medical

Engineer I, Manufacturing

Southington, CT · On-site

$74K - $95K/yr

Six-Sigma Methodology (DOE, Process Capability, Gage R&R, etc.) * Knowledge of the Medical Device ... Dedicated and non-dedicated IV sets and needlefree connectors clinically proven to provide an ...

Medtronic

Sr Product Engineer

North Haven, CT

Participation in pre-clinical in vivo labs, observing cases in hospitals and through customer ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

Medtronic

Sr Product Engineer

North Haven, CT · On-site

Participation in pre-clinical in vivo labs, observing cases in hospitals and through customer ... F.R. § 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are ...

Medtronic

Sr Product Engineer

North Haven, CT

Participation in pre-clinical in vivo labs, observing cases in hospitals and through customer ... F.R. 214.2(h)(4)(iii)(A) is required. Physical Job Requirements The above statements are intended ...

Hyperfine

Supplier Quality Engineer

Guilford, CT · On-site

$107K - $123K/yr

... clinically relevant diagnostic imaging. Learn More About The Role Job Title : Supplier Quality ... Collaborate with Operations, Engineering, and R&Dto ensure that the products produced meet ...

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All JobsClinical R Programmer JobsClinical R Programmer Jobs in Sandy Hook, CT

Clinical R Programmer information

See Sandy Hook, CT salary details

$25

$66

$105

How much do clinical r programmer jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for clinical r programmer in Sandy Hook, CT is $66.72, according to ZipRecruiter salary data. Most workers in this role earn between $55.24 and $75.53 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 cities near Sandy Hook, CT are hiring for Clinical R Programmer jobs? Cities near Sandy Hook, CT with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you

Manager, Clinical Programming (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 15 days ago

Job description

Contact: Neisha Camacho/Terra Parsons -
No 3rd party candidates

Position Summary

We are seeking an experienced Senior Clinical Programmer to support clinical development programs by delivering high-quality programming solutions for medical monitoring, data management, and statistical programming activities. The ideal candidate has strong expertise in CDISC standards, SDTM dataset development, and modern programming tools including SAS and R. This role partners closely with cross-functional teams to develop efficient, compliant, and scalable programming solutions that support ongoing clinical trials.

Key Responsibilities

  • Provide programming support for medical monitoring, data management, and statistical programming activities across clinical studies.
  • Develop specifications for SDTM dataset creation in accordance with CDISC SDTM Implementation Guide (SDTM IG).
  • Program, validate, and maintain CDISC-compliant SDTM datasets.
  • Create and maintain annotated CRFs (aCRFs) aligned with SDTM specifications.
  • Generate outputs and listings to support medical monitoring, data review, statistical endpoint monitoring, and data management activities.
  • Develop, enhance, and maintain SAS macros, R functions, and other reusable programming utilities.
  • Design, develop, test, and implement programming solutions to address complex business and study requirements.
  • Ensure programming deliverables meet quality standards, timelines, and regulatory expectations.
  • Collaborate effectively with cross-functional teams including Biostatistics, Data Management, Clinical Operations, and Medical Monitoring.
  • Manage multiple projects simultaneously while delivering high-quality work within established timelines.

Qualifications

  • Bachelor's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related discipline (or equivalent experience).
  • Experience programming in the pharmaceutical, biotechnology, or related regulated industry preferred.
  • Advanced programming proficiency in SAS, R, and SQL.
  • Strong working knowledge of CDISC standards, including SDTM and annotated CRFs.
  • Experience with JReview is highly preferred.
  • Experience with Shiny, Pharmaverse, and R Markdown is preferred.
  • Familiarity with programming languages such as Python, VBA, or C++ is a plus.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work independently while collaborating effectively within cross-functional teams.
  • Strong organizational skills with the ability to prioritize multiple assignments and meet deadlines.

Preferred Experience

  • Experience supporting medical review or clinical data review activities.
  • Experience developing reusable programming utilities and automation tools.
  • Familiarity with regulatory submission standards and clinical trial data workflows.
  • Experience working in a fast-paced clinical development environment.