ZipRecruiter

Log In

1

Clinical R Programmer Jobs in Connecticut (NOW HIRING)

Bio-Techne

Product Support Scientist

Wallingford, CT

$81.90K - $134.55K/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 ...

Bio-Techne

Product Support Scientist

Wallingford, CT · On-site

$81.90K - $134.55K/yr

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

Yale New Haven Health

Data Scientist II

New Haven, CT

... clinical subject matter experts. * Finds the best predictive analytics approach and algorithm(s) to ... Experienced in programming with R to build machine learning models using a variety of techniques ...

Yale New Haven Health

Data Scientist II

New Haven, CT

... clinical subject matter experts. * Finds the best predictive analytics approach and algorithm(s) to ... Experienced in programming with R to build machine learning models using a variety of techniques ...

Yale New Haven Health

Data Scientist II

New Haven, CT · On-site

... clinical subject matter experts. * Finds the best predictive analytics approach and algorithm(s) to ... Experienced in programming with R to build machine learning models using a variety of techniques ...

next page

Showing results 1-20

People also search for

All JobsClinical R Programmer JobsClinical R Programmer Jobs in Connecticut

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 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 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 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
Faculty Appointment in Radiology and Biomedical Imaging

Faculty Appointment in Radiology and Biomedical Imaging

Yale University

New Haven, CT • On-site

Full-time

Posted 5 days ago

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

39th of 532 rated colleges and universities

Job description

Description
The Department of Radiology and Biomedical Imaging at the Yale School of Medicine invites applications for an Assistant Professor position in positron emission tomography (PET) imaging. Appointments are available on both the traditional and investigator tracks, and rank is dependent on the successful candidate's qualifications. Successful candidates will be expected to teach undergraduate and graduate courses in related areas, develop an independent research program in collaboration with an interdisciplinary team of faculty, and secure external research funding.
Responsibilities may include the development, characterization and validation of novel imaging biomarkers with PET, pharmacokinetic modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative PET imaging.
Yale School of Medicine educates and nurtures creative leaders in medicine and science, promoting curiosity and critical inquiry. We advance discovery and innovation fostered by partnerships across the university, our local community, and the world. We care for patients with compassion, and commit to improving the health of all people.
The Yale University PET Center located on Howard Avenue in New Haven, CT is a 22,000 sq. ft. facility established to advance the interests of Yale clinicians, scientists, and students in molecular imaging research. The Yale University PET Center is comprised of a technologically advanced radiochemistry laboratory engaged in the development and use of a rich set of PET radiopharmaceuticals labeled with the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis.
The Yale University PET Center collaborates with other School of Medicine departments to provide educational opportunities for doctoral and postdoctoral trainees. Collaborations with industry partners serve to advance the use of molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research interests focus on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes.
Qualifications
Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields. They should have experience and a track record of publications in two of the following areas:
  • PET imaging physics, modeling of PET data and corresponding physical corrections.
  • Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques.
  • Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting.
  • Deep learning tools and methods for image denoising, reconstruction, segmentation and classification.

Besides a strong background in the listed areas, candidates should demonstrate the following technical skills:
  • Experience with computer science and data science, image processing and analysis.
  • Proficiency with programming languages such as C/C , Python, MATLAB, R, Linux scripting (e.g. bash).
  • Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing.
  • Mentoring skills for undergraduate and graduate students, interns and visitors.

Besides the requirements listed above, additional desired qualifications include:
  • Experience with MR imaging and MR image reconstruction and analysis.
  • Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases.
  • Familiarity with optimization theory and applications to inverse problems.

Application Instructions
Interested applicants should upload their CV, cover letter and three letters of reference to: apply.interfolio.com/185695. Review of applications will begin immediately and continue until the position is filled.

What Yale University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply