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Clinical R Programmer Jobs in Connecticut (NOW HIRING)

TRIMEDX Holdings

Imaging Engineer I/II

Stamford, CT · On-site

... R/F, portables, C-arms, mammography, Nuclear Medicine, CR, DR, ultrasound, bone density, and all ... Maintain Clinical Engineering expertise through ongoing training and education * Assist with ...

Trimedx

Imaging Engineer I/II

Stamford, CT · On-site

... R/F, portables, C-arms, mammography, Nuclear Medicine, CR, DR, ultrasound, bone density, and all ... Maintain Clinical Engineering expertise through ongoing training and education * Assist with ...

Bio-Techne

Product Support Scientist

Wallingford, CT · On-site

$81K - $134K/yr

... Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for ... Experience with programming (e.g., R, Python) or advanced statistical methods is a plus. Prior ...

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Clinical R Programmer information

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 Connecticut? For Clinical R Programmer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Connecticut look for? The top searched job categories for Clinical R Programmer jobs in Connecticut are:
What cities in Connecticut are hiring for Clinical R Programmer jobs? Cities in Connecticut with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Bioinformatics Scientist, Translational Oncology

Bioinformatics Scientist, Translational Oncology

SEMA4

Stamford, CT • On-site

Full-time

Re-posted yesterday

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
We are looking for a talented Bioinformatics Scientist, Translational Oncology to lead and support projects that translate genomic results and/or clinical EMR datasets into novel discoveries. You will aid in the design and development of Sema4's databases and associated data analytics. This role will serve as a SME in genomics, cancer biology and clinical oncology.
RESPONSIBILITIES
  • Lead translational research projects in collaboration with oncologists and basic scientists using Sema4's unique data resources.
  • Contribute to automated extraction of key data elements from EMR
  • Ability to evaluate available literature and other data sources such ClinVar, cBioPortal, TCGA, NCBI, Ensembl, Broad FireHose, etc.
  • Present research findings to stakeholders
  • Publish novel findings in academic journals and present at conferences

QUALIFICATIONS
  • PhD in Bioinformatics, Biomedical Informatics, Computational Biology, Genomics, or a related discipline. We will also consider MDs with training in oncology and/or Biomedical Informatics.
  • Minimum 2-3 years of Post-Doctoral or Industry experience.
  • Strong computational and analytical skills.
  • Deep understanding of genomics, cancer biology or clinical oncology. Experience in oncology is highly preferred.
  • Excellent written and verbal communicator.
  • Experience working on interdisciplinary teams that include scientists, programmers, and clinicians.
  • Proficiency in one or more programming languages including Python, R and SQL; familiarity with Linux environments and exposure to cloud infrastructures such as AWS.
  • Interest in data science and machine learning approaches to solving complex problems.
  • Experience of developing and documenting high-quality code using version control tools (especially Git) and software issue tracking/management systems (especially Jira).
  • Highly motivated, great ability to work independently or as part of a team.
  • Track record of publishing high impact peer-reviewed research articles.

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