Sr. Data Scientist
$150K - $185K/yr
Partner with engineering, product, and operational stakeholders to design, test, and deploy machine ... Proficiency in predictive modeling using Python and/or R * Experience working with relational ...
Quick apply
Sr. Data Scientist
$150K - $185K/yr
Partner with engineering, product, and operational stakeholders to design, test, and deploy machine ... Proficiency in predictive modeling using Python and/or R * Experience working with relational ...
We are passionate about designing and manufacturing innovative, clinically proven products using ... Partner with Marketing, R amp;D and engineering teams to align product design with manufacturing ...
We are passionate about designing and manufacturing innovative, clinically proven products using ... Partner with Marketing, R amp;D and engineering teams to align product design with manufacturing ...
Community Relations & Education Manager - Arizona, Utah & Colorado
Salt Lake City, UT · On-site
$133.50K/yr
... clinical and customer knowledge, have experience with both field and headquarter protocols and ... About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ...
Community Relations & Education Manager - Arizona, Utah & Colorado
Salt Lake City, UT · On-site
$133.50K/yr
... clinical and customer knowledge, have experience with both field and headquarter protocols and ... About Sanofi: We're an R&D-driven, AI-powered biopharma company committed to improving people ...
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?
| Aspect | Clinical R Programmer | Clinical SAS Programmer |
|---|---|---|
| Required Credentials | Typically requires a degree in statistics, biostatistics, or related field; proficiency in R programming | Usually requires a degree in statistics, biostatistics, or related field; proficiency in SAS programming |
| Work Environment | Often works in research-focused settings, academia, or biotech companies using open-source tools | Commonly employed in pharmaceutical companies, CROs, and clinical trial data analysis using SAS |
| Industry Usage | Growing in popularity for data analysis and visualization in clinical research | Standard 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 Utah? For Clinical R Programmer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Clinical R Programmer jobs in Utah look for? The top searched job categories for Clinical R Programmer jobs in Utah are:
What cities in Utah are hiring for Clinical R Programmer jobs? Cities in Utah with the most Clinical R Programmer job openings:
$150K - $185K/yr
Full-time
Posted 26 days ago
Job description
Come build, innovate, disrupt, and thrive!
KēSTA I.T. is actively seeking multiple Senior Data Scientists for an immediate permanent need.
Are you on the lookout for a unique career opportunity that offers leadership, responsibility, and the chance to make a significant impact? If you're eager to contribute to a thriving and stable organization while maintaining your confidentiality, continue reading.
ABOUT THE ROLE
We are seeking a Sr. Data Scientist with experience supporting software platforms in the healthcare domain. This role centers on addressing complex, data-driven challenges by applying techniques from computer science, statistics, and predictive modeling.
You will collaborate cross-functionally with teams spanning customer-facing functions, engineering, and research to analyze data, run experiments, and expand the impact of machine learning and analytics across a suite of products. The objective is to enhance intelligent features that deliver timely, actionable insights to healthcare organizations and improve overall outcomes.
This position is well-suited for someone who is self-directed, detail-oriented, and energized by working in a fast-moving, team-oriented environment.
RESPONSIBILITIES
- Partner with engineering, product, and operational stakeholders to design, test, and deploy machine learning and analytical solutions that leverage system data and user behavior
- Collaborate with development teams to collect, structure, and process data, while integrating analytics-driven capabilities into core product offerings
- Develop and evaluate innovative applications of machine learning within healthcare use cases, delivering measurable and data-backed insights to inform product direction
- Convert real-world business and healthcare challenges into structured mathematical and statistical models
- Work cross-functionally with product, marketing, and commercial teams to incorporate customer feedback and support go-to-market initiatives
- Conduct exploratory analysis, form hypotheses aligned to business objectives, test models, and scale solutions across large datasets while ensuring accuracy and validity
- Identify, analyze, and clearly communicate the root causes of both successes and issues to technical and non-technical audiences
QUALIFICATIONS
- Strong foundation in statistical modeling and machine learning methods, including classification, regression, clustering, dimensionality reduction, and multivariate analysis
- Experience evaluating model performance using techniques such as cross-validation, holdout validation, and related approaches
- Understanding of algorithmic complexity and performance considerations at scale
- Proficiency in predictive modeling using Python and/or R
- Experience working with relational databases (e.g., SQL-based systems)
- Ability to program in at least one general-purpose language such as C# or Java
- Demonstrated ability to learn quickly, manage multiple priorities, and operate effectively in a dynamic environment
- Strong communication skills, including the ability to present insights clearly across technical and business audiences
- Comfortable navigating ambiguity and contributing in evolving or less-defined problem spaces
- Excellent analytical thinking, problem-solving, and written communication skills
- Proficiency with common productivity tools (e.g., Microsoft Office or equivalent)
- High attention to detail
Preferred:
- Advanced degree (MS or higher) in Computer Science, Statistics, Mathematics, or a related discipline
- Exposure to or interest in healthcare data, clinical systems, or medical informatics
About KēSTA I.T.:
Our name says it all; KēSTA I.T. (Keys-to-I.T.) AND our people are our keys to our success!
KēSTA I.T. is a premier Utah-based technical staffing and consulting services firm. We specialize in temporary and permanent placement of Software, Hardware, Network, Cloud, CRM/ERP, Data, End-User support, Web and Executive / leadership-based positions on a full time and consulting basis. If you're interested in a role where top performance is rewarded, personal time is valued, and excellence is demanded at every level we want to talk to you today!
Where do you want to go? We've got the keys! ~ KēSTA I.T.
WWW.KeSTAIT.COM