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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 does a clinical programmer do?

A clinical programmer develops and maintains software for clinical trials, including programming data collection, validation, and analysis tools. They work with statistical teams to generate reports and ensure data accuracy, often using programming languages like SAS or R in a regulated environment.

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.

Is clinical SAS programmer a good career?

A clinical SAS programmer is a specialized role in the healthcare and pharmaceutical industries, focusing on data analysis and reporting using SAS software. It offers stable employment, competitive salaries, and opportunities for advancement, especially with certifications and experience. The role typically requires strong analytical skills and knowledge of clinical trial processes.

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 is the salary of a clinical data programmer?

The salary of a clinical data programmer typically ranges from $70,000 to $100,000 annually, depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with advanced skills in SAS, R, or SQL can earn higher salaries. Many roles also offer benefits such as health insurance and flexible schedules.

Which is better, CDM or SAS?

For a Clinical R Programmer, SAS is a widely used statistical software in clinical trials and regulatory submissions, offering robust data management and analysis capabilities. CDM (Clinical Data Management) refers to the process of handling clinical data, often using tools like SAS or dedicated CDM systems; the choice depends on project needs, but SAS proficiency is highly valued in the field.
What are popular job titles related to Clinical R Programmer jobs in Alabama? For Clinical R Programmer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Alabama look for? The top searched job categories for Clinical R Programmer jobs in Alabama are:
Clinical R Programmer jobs near you

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

UAB NOVA RENT

Birmingham, AL • On-site

$126K - $205K/yr

Full-time

Posted 17 days ago

Job description

We are seeking a data science manager to assist us with developing and managing a large repository of electronic health record data of patients with ocular diseases. This position will use specific computers programs to extract relevant clinical variables from the EPIC electronic health record, clean and organize the data in a format to facilitate analysis of the data.
They will also assist with linking data from the repository to other internal and external data sources including working with IT staff at other academic institutions to facilitate data extraction from their databases to incorporate such data into the repository. They will spend most of their time working with clinicians and biostatisticians in the Department of Ophthalmology and Visual Sciences.
Manages a team of data scientist professionals that conduct research and develop tools and processes that improve the outcomes and quality of research projects. Recruits, hires, trains, and coaches staff with very high level analytical and technical skills. Determine innovative ways to improve data and search quality, and predictive capabilities. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Design and build new data set processes for modeling, data mining, and production purposes.
Duties and Responsibilities :
  • Research discrepancies and resolve obstacles, facilitating continuous improvement and progress. - analyzing data based on findings of others to either support those findings or to explain why something is the way it is. - Including looking into why a file may fail our pipeline. Findings from this may highlight an additional step we can add to our process or a modification to a current step.
  • Engage with external sites clinical and technical leads across various roles both internally and externally. - reaching out to determine their status, discussing obstacles their running into, providing feedback, providing instruction, or anything else that comes up.
  • Function as project manager, tracking the status of active sites and ensuring the repository is maintained with current data while assisting approximately 20 additional sites in achieving 'active' status.
  • Manage a team of technical professionals, building and enhancing a repository for ophthalmologic data sourced from over 25 sites. - This involves keeping up with the tasks staff are working, keeping everyone focused on the current goal, and brainstorming ideas together
  • Develop, maintain, and utilize a comprehensive database to monitor the status of multiple projects. - Besides our database containing the repository, I developed a separate database to keep track of sites, batches of data, reviews of data and notes regarding either the site and/or their data. - Reports can be produced from this database to provide feedback to sites regarding a batch of data or internal reports showing our internal review, notes about conversations or findings based on those reviews, the feedback provided to sites and updates from the sites. - The database also allows the ability to keep track of staff tasks. - This database has evolved over time and is still evolving based on continuous variation in how we work.
  • Identify and automate manual efforts to streamline data pipelines. - This also includes explaining to others what's needed so they can automate steps.
  • Establish familiarity with external data sources, determine relationships with internal data, and analyze the applications of combined data.
  • Perform other duties as assigned

Salary Range: $126,470 - $205,515
LOCATED ONSITE IN BIRMINGHAM, ALABAMA. NO OPTION FOR HYBRID OR REMOTE.
Qualifications
Doctorate degree in a related field and seven (7) years of related experience OR Master's degree in a related field and nine (9) years of related experience required. Work experience may NOT substitute for education requirement.
Preferred :
  • Proficiency certification with EPIC training
  • 5-10 years of experience directly related to the responsibilities specified
  • Proficiency with Oracle databases, PL/SQL, or MS SQL Server T-SQL
  • Knowledge of Tableau, SAS, R, a plus

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.

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