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Sas Clinical Data Jobs (NOW HIRING)

The Clinical Data Manager (CDM) handles project management documentation, clinical data management ... Working knowledge of EDC studies and SAS is required. Work Requirements * Corporate office ...

SAS Programmer About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing in ... Develop statistical programming specifications (clinical data) and other statistical programs used ...

SAS Programmer About CICONIX: CICONIX LLC is a Veteran Owned Small Business specializing in ... Develop statistical programming specifications (clinical data) and other statistical programs used ...

SAS Programmer

Frederick, MD · On-site

$135K - $148K/yr

Collaborate with Clinical Data Management and Biostatistics teams. * Maintain programming ... SAS Advanced Programmer Certification required. * Minimum 7 years of clinical SAS programming ...

Experience with SAS/R, SQL programming, and data manipulation. * Familiarity with clinical trial data standards (CDISC SDTM, ADaM), experience with TLF generation preferred. * Experience integrating ...

Experience with SAS/R, SQL programming, and data manipulation. * Familiarity with clinical trial data standards (CDISC SDTM, ADaM), experience with TLF generation preferred. * Experience integrating ...

Collaborate with Clinical Data Management and Biostatistics teams. * Maintain programming ... SAS Advanced Programmer Certification required. * Minimum 7 years of clinical SAS programming ...

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Sas Clinical Data information

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$19

$54

$80

How much do sas clinical data jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for sas clinical data in the United States is $54.04, according to ZipRecruiter salary data. Most workers in this role earn between $41.59 and $68.03 per hour, depending on experience, location, and employer.

What is a SAS Clinical Data professional?

SAS Clinical Data professionals are experts who use SAS (Statistical Analysis System) software to manage, analyze, and report clinical trial data in the pharmaceutical, biotechnology, and healthcare industries. They play a key role in ensuring the accuracy, integrity, and regulatory compliance of clinical data. Their work involves data cleaning, manipulation, statistical analysis, and the preparation of reports for regulatory submissions. These professionals often collaborate with clinical researchers, statisticians, and regulatory teams to support drug development and approval processes.

What are the key skills and qualifications needed to thrive as a SAS Clinical Data analyst?

To thrive as a SAS Clinical Data Analyst, you need a solid background in statistics, data management, and clinical research, typically supported by a degree in life sciences, statistics, or a related field. Proficiency in SAS programming, knowledge of CDISC standards (SDTM/ADaM), and familiarity with clinical trial data systems such as EDC are essential. Strong attention to detail, problem-solving abilities, and effective communication skills set outstanding analysts apart. These competencies ensure accurate data analysis, regulatory compliance, and clear reporting, all critical for successful clinical trials.

What are some common challenges faced by SAS Clinical Data professionals when working with large clinical trial datasets?

SAS Clinical Data professionals often encounter challenges such as handling missing or inconsistent data, ensuring data integrity, and adhering to strict regulatory requirements. Managing large and complex datasets requires strong attention to detail and effective communication with clinical research teams to clarify data discrepancies. Additionally, tight project deadlines and evolving study protocols can make prioritizing tasks and maintaining high data quality demanding. Collaborating closely with biostatisticians and data managers is essential for successful data cleaning, validation, and analysis.

What is the difference between Sas Clinical Data vs Clinical Data Analyst?

AspectSas Clinical DataClinical Data Analyst
Required CredentialsExperience with SAS, biostatistics, clinical research certificationsDegree in life sciences, data analysis skills, some SAS knowledge
Work EnvironmentPharmaceutical companies, CROs, clinical research settingsHealthcare organizations, research institutions, biotech firms
Employer & Industry UsagePrimarily in clinical trial data managementBroader data analysis in healthcare and research

While both roles involve handling clinical data, Sas Clinical Data specialists focus on managing and analyzing clinical trial data using SAS software, often requiring specific certifications. Clinical Data Analysts may work across various healthcare settings, utilizing a broader range of data tools. Understanding these differences helps in choosing the right career path or job search focus.

More about Sas Clinical Data jobs
Infographic showing various Sas Clinical Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,399 per year, or $54 per hour.

Technical Clinical Data Manager /Data Analyst (Remote)

Penfield Search Partners

Fairfield, CT • Remote

Full-time

Posted 18 days ago


Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates We are partnering with a growing biotech organization seeking a Clinical Data Manager/Data Analyst to support ongoing and upcoming clinical programs across multiple therapeutic areas. This role will sit within a highly collaborative clinical development team and is ideal for a hands-on, analytical Clinical Data Manager who enjoys digging into the data, identifying trends or issues proactively, and developing creative solutions to improve data quality and study execution. The client is seeking someone resourceful and technically curious - not just process-oriented - with the ability to independently explore datasets, generate meaningful reports, and surface potential issues early

The ideal candidate will bring a blend of traditional clinical data management expertise along with strong data review, querying, and analytical skills. Experience with R, SQL, SAS, or other data interrogation and reporting tools is highly desirable. Key Responsibilities Support clinical data management activities across studies from start-up through database lock Perform hands-on data review and exploratory analysis to identify data trends, inconsistencies, missing data patterns, and potential study risks Develop custom reports, listings, and data visualizations to support proactive data cleaning and study oversight Utilize R, SQL, SAS, or similar tools to query, analyze, and troubleshoot clinical datasets Partner with CROs and vendors to ensure high-quality, timely data delivery Collaborate cross-functionally with Clinical Operations, Biostatistics, Statistical Programming, Medical, and Safety teams on data review strategies and issue resolution Contribute to development and review of key deliverables including: Data Management Plans (DMPs) eCRF design and completion guidelines Edit checks and query logic User Acceptance Testing (UAT) Data review plans and cleaning processes Support ongoing query management and ensure data integrity, consistency, and inspection readiness Assist with implementation of data standards, reporting enhancements, and process improvements Work independently to investigate data anomalies and recommend practical solutions in a fast-paced biotech environment Qualifications BS in a scientific, technical, or clinical discipline Approximately 5-8 years of clinical data management experience within biotech, pharma, or CRO environments Strong hands-on experience reviewing and interrogating clinical trial data Experience using R, SQL, SAS, or other querying/reporting tools to analyze clinical data and generate custom reports Experience with EDC systems such as Medidata Rave, Oracle, or Veeva Working knowledge of CDISC standards (SDTM/ADaM) and downstream data usage Experience supporting Phase II and/or III clinical trials; CNS experience is a plus Exposure to CRO/vendor oversight Understanding of clinical data structures and dictionaries including MedDRA and WHODrug Strong critical thinking and problem-solving skills with the ability to work independently Resourceful, proactive, detail-oriented, and comfortable operating in a dynamic biotech environment Strong communication and cross-functional collaboration skills.