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Remote Clinical Sas Programmer Jobs in Baltimore, MD

Sr. Developer

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Sr. Developer (USCB)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Sr. Developer (US Census Bureau)

Greenbelt, MD · Remote

$55.75 - $73.75/hr

This position is primarily remote but is based in the DMV area and is a full-time W2 employment ... R, SAS, STATA familiarity Soft Skills: Organizational Skills: Can plan and prioritize work. Follows ...

Work you'll do Epic Denials Manager on the AI & Engineering team, you will be responsible for the ... This is a remote role with minimal travel requirements. A successful candidate would possess these ...

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Remote Clinical Sas Programmer information

See Baltimore, MD salary details

$19

$53

$79

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

As of Sep 4, 2026, the average hourly pay for remote clinical sas programmer in Baltimore, MD is $53.69, according to ZipRecruiter salary data. Most workers in this role earn between $41.30 and $67.60 per hour, depending on experience, location, and employer.

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 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 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.

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Infographic showing various Remote Clinical Sas Programmer job openings in Baltimore, MD as of August 2026, with employment types broken down into 80% Full Time, 11% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,684 per year, or $53.7 per hour.

Clinical Transformation Data Scientist, Remote

University of Maryland Medical System

Baltimore, MD • Remote

Full-time

Posted 9 days ago


Job description

Job Requirements

Join a leading academic medical center dedicated to advancing healthcare through innovation and data-driven insights. We are committed to transforming clinical care by leveraging cutting-edge analytics and fostering a culture of continuous improvement.

We are seeking a highly skilled Clinical Transformation Data Scientist to join our team in 2026. This role focuses on applying advanced data science techniques to healthcare data within an academic medical center setting. The ideal candidate will drive clinical transformation initiatives by developing predictive models, optimizing clinical workflows, and generating actionable insights that improve patient outcomes and operational efficiency.

Responsibilities:

  • Collaborate with multidisciplinary clinical and research teams to identify opportunities for data-driven clinical transformation. 
  • Develop, validate, and deploy machine learning models and advanced analytics solutions tailored to healthcare challenges. 
  • Analyze large, complex healthcare datasets including electronic health records (EHR), imaging, genomics, and patient-reported outcomes. 
  • Translate data insights into strategic recommendations to enhance clinical decision-making and patient care pathways. 
  • Support clinical trials and research projects by providing robust data analysis and visualization. 
  • Ensure compliance with healthcare regulations and data privacy standards in all data handling and analysis activities. 
  • Communicate findings effectively to both technical and non-technical stakeholders through reports, presentations, and dashboards. 
  • Stay current with emerging data science methodologies, healthcare technologies, and industry best practices.

Work Experience

The ideal candidate will possess strong technical expertise in the latest data science technologies, applications, and software. This role requires hands-on experience with machine learning, artificial intelligence (AI), predictive modeling, and advanced analytics to drive clinical transformation initiatives. 

Education and Experience

  • Master's in Data Analysis field or a related field required. Doctoral preferred.
  • Three (3) years of Data Analytics and Database Management experience required
  • Clinical Background preferred
  • Developing and implementing machine learning models and AI-driven solutions to enhance clinical decision-making and operational efficiency. 
  • Utilizing predictive modeling and cognitive analytics to extract actionable insights from complex healthcare data. 
  • Collaborating with clinical and technical teams to translate data-driven insights into impactful clinical transformation strategies. 
  • Leveraging advanced Epic tools such as Cogito Cloud, Nebula, and Agent Factory to optimize data workflows and analytics processes. 
  • Maintaining up-to-date knowledge of emerging data science technologies and best practices in healthcare analytics. 

Knowledge, Skills and Abilities

  • Proven experience in data science with a focus on machine learning, AI, predictive modeling, and advanced analytics. 
  • Familiarity with AI and cognitive analytics is highly desirable. 
  • Experience working with advanced Epic tools (Cogito Cloud, Nebula, Agent Factory) is a strong plus. 
  • Epic certifications are highly preferred. 
  • Statistical analysis (experience with tools such as SAS, SPSS)
  • Experience using Tableau and/or Smartsheets software for data visualization
  • Excel expert including macros, visual basic
  • Advanced SQL, Excel and Vizient query languages and database design
  •  Metric quantitative and qualitative analysis
  •  Experience in data manipulation, transformation, scrubbing and imputation with acute attention to detail
  • Expert at identifying data anomalies
  • Ensures, analyzes and monitors data quality
  • Strong analytic and problem-solving skills
  • Strong writing and editing skills
  • Ability to plan work, set clear direction and coordinate projects in a multi-disciplinary environment
  •  Ability to work cooperatively and effectively with people from various organizational levels
  • Remains current with published literature in the fields of medicine, statistical analysis and healthcare operations
  • Change oriented and actively supports process improvement   

Employment Type: FULL_TIME