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Clinical R Programmer Jobs in Florida (NOW HIRING)

Neocis, Inc.

Systems Engineer - Integration & Test

Miami, FL · On-site

$159.70K/yr

The company collaborates closely with leading clinicians to develop innovative technologies that ... Demonstrated experience in data post-processing, statistical analysis and presentation, via R ...

Moffitt Cancer Center

Research Software Engineer

Tampa, FL · On-site +1

$186.60K/yr

Partner with world-class scientists, clinicians, and technical teams to deliver solutions that ... Experience with R and/or Python for data integration, particularly with bioinformatics platforms.

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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 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 Florida? For Clinical R Programmer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Florida look for? The top searched job categories for Clinical R Programmer jobs in Florida are:
What cities in Florida are hiring for Clinical R Programmer jobs? Cities in Florida with the most Clinical R Programmer job openings:
Clinical R Programmer jobs near you
Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics

H. Lee Moffitt Cancer Center

Tampa, FL • On-site

$28.50 - $34.21/hr

Full-time

Posted 26 days ago

Moffitt Cancer Center rating

8.1

Company rating: 8.1 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

72nd of 865 rated healthcare providers

Job description

Postdoctoral Fellow in Bioinformatics - Chemoproteomics & Cancer Functional Genomics
Position Overview
A postdoctoral fellow position is available for a highly motivated scientist with expertise in bioinformatics, chemoproteomics, and functional genomics. The successful candidate will participate in research projects leveraging large-scale chemoproteomics datasets, integrating these with public cancer genomics resources, and mining CRISPR screening data to advance cancer biology and therapeutic discovery.
Key Responsibilities:
  • Analyze and integrate high-dimensional chemoproteomics datasets with multi-omotic data (e.g., genomics, transcriptomics, proteomics) from public repositories such as DepMap and TCGA
  • Develop, implement, and maintain robust computational pipelines in R and other programming languages (e.g., Python) for data processing, statistical analysis, and visualization
  • Mine and interpret large-scale CRISPR screening datasets to identify novel cancer dependencies and therapeutic targets, utilizing resources such as DepMap and published CRISPR screens
  • Collaborate with interdisciplinary teams of biologists, chemists, and clinicians to design and execute integrative studies, and contribute to the functional validation of computational predictions
  • Present research findings at internal meetings and national/international conferences; publish results in high-impact journals
  • Mentor junior researchers and contribute to grant writing and manuscript preparation

Required Qualifications:
  • PhD in Bioinformatics, Computational Biology, Cancer Biology, Genomics, or a related field is required
  • Demonstrated expertise in R and proficiency in other programming languages (e.g., Python)
  • Experience working with and mining large public cancer genomics databases, such as DepMap and TCGA
  • Proven track record in analyzing and integrating chemoproteomics and/or functional genomics datasets, especially CRISPR screening data
  • Strong understanding of statistics and machine learning concepts as applied to biological data
  • Excellent written and verbal communication skills, with a history of publishing in peer-reviewed journals
  • Ability to work independently and collaboratively in a multidisciplinary research environment

Preferred Qualifications
• Experience with drug development and/or chemistry
• Familiarity with AI/ML approaches for biological data analysis.
• Prior experience in cancer research or translational bioinformatics
Application Instructions:
Interested applicants should submit a CV, a cover letter outlining research experience and interests, and contact information for three references. Applications will be reviewed on a rolling basis.

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