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Remote Clinical Sas Programmer Jobs in Draper, UT

Deloitte

Epic Denials Management Operator

Salt Lake City, UT · Remote

$17.50 - $23.25/hr

Position Summary Join Deloitte's AI & Engineering practice to support hospital denials management ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

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Remote Clinical Sas Programmer information

See Draper, UT salary details

$17

$50

$75

How much do remote clinical sas programmer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote clinical sas programmer in Draper, UT is $50.52, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $63.61 per hour, depending on experience, location, and employer.

What does a remote clinical SAS programmer do?

As a Remote Clinical SAS Programmer, you'll primarily support clinical trial data analysis by programming tables, listings, and figures (TLFs), creating datasets, and ensuring data integrity. You will collaborate closely with biostatisticians, data managers, and other clinical team members to provide statistical outputs for clinical study reports and regulatory submissions. Your daily tasks include writing and validating SAS code, documenting work for audit purposes, and adhering to industry standards such as CDISC. The role often involves juggling multiple projects simultaneously, offering variety and opportunities to deepen your expertise in clinical data. This environment is well-suited to self-motivated professionals seeking both autonomy and collaborative teamwork in a dynamic, impactful field.

What does a remote SAS clinical programmer do?

The job duties of a remote SAS clinical programmer involve programming within the Statistical Analysis System (SAS) software suite. You perform your responsibilities for this virtual job from a remote location outside of your client or employer’s office. A clinical SAS programmer focuses on clinical data collection and analysis. After gathering the required dataset, you analyze the data using SAS software to find the desired information about healthcare services, clinical trials, or other similar subjects. You then document the results of the analysis.

What is a remote clinical SAS programmer?

A Remote Clinical SAS Programmer is responsible for programming, validating, and analyzing clinical trial data using SAS software while working from a remote location. They collaborate with biostatisticians and clinical teams to create datasets, generate tables, listings, and figures, and ensure compliance with regulatory standards such as CDISC, SDTM, and ADaM. Their work supports drug development and regulatory submissions, making accuracy and efficiency crucial. Strong SAS programming skills, knowledge of clinical research, and experience with regulatory guidelines are essential for this role.

What are the key skills and qualifications needed to thrive as a remote clinical SAS programmer?

To thrive as a Remote Clinical SAS Programmer, you need strong statistical analysis skills, proficiency in SAS programming, and a background in clinical trials or life sciences. Experience with CDISC standards, clinical databases, and regulatory compliance, as well as certifications like SAS Certification or knowledge of SDTM and ADaM, are highly valued. Attention to detail, excellent communication, and time management are critical soft skills for remote collaboration and meeting project timelines. These attributes ensure reliable data outputs, successful teamwork, and compliance with industry regulations in a remote clinical research environment.

More about Remote Clinical Sas Programmer jobs
What are the most commonly searched types of Clinical Sas Programmer jobs in Draper, UT? The most popular types of Clinical Sas Programmer jobs in Draper, UT are:
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Remote Clinical Sas Programmer jobs near you
Infographic showing various Remote Clinical Sas Programmer job openings in Draper, UT as of August 2026, with employment types broken down into 100% Full Time. Highlights an 4% In-person, and 96% Remote job distribution, with an average salary of $105,075 per year, or $50.5 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Provo, UT • Remote

$90 - $120/hr

Part-time

Posted 15 days ago

Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.

Apply