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Remote Sdtm Jobs in Virginia (NOW HIRING)

Remote/Hybrid Job Type: Full-Time Position Overview: Venesco is seeking a skilled SAS Programmer to ... Develop SAS programs for tables, listings, and figures (TLFs) Create CDISC-compliant datasets (SDTM ...

Remote Sdtm information

What is the difference between Remote Sdtm vs Remote Clinical Data Coordinator?

AspectRemote SdtmRemote Clinical Data Coordinator
CertificationsCDISC SDTM, CDMPCDISC SDTM, CDMP
Work EnvironmentRemote, data management teamsRemote, clinical data management teams
Industry UsagePharmaceutical, biotechPharmaceutical, biotech
Primary ResponsibilitiesDesign, validate SDTM datasetsManage, clean, and verify clinical data

Remote Sdtm specialists focus on creating and validating SDTM datasets for clinical trials, while Remote Clinical Data Coordinators handle overall data management, including data entry, cleaning, and verification. Both roles require similar certifications and work in the same industry, but their core tasks differ in scope and focus.

How does a Remote SDTM professional typically collaborate with cross-functional teams to ensure accurate clinical data submission?

As a Remote SDTM (Study Data Tabulation Model) professional, you will regularly work with clinical data managers, biostatisticians, and programmers to ensure that clinical trial data is accurately mapped and compliant with regulatory standards. Collaboration often involves virtual meetings, shared documentation, and version control tools to review data mappings and resolve discrepancies. Clear communication and proactive problem-solving are vital, as much of the alignment happens remotely. You'll also participate in data validation and quality control processes to support successful data submissions to regulatory authorities.

What are the key skills and qualifications needed to thrive as a Remote SDTM (Study Data Tabulation Model) Specialist, and why are they important?

To thrive as a Remote SDTM Specialist, you need strong expertise in clinical data management, SDTM standards, and familiarity with regulatory requirements, often supported by a degree in life sciences or a related field. Proficiency in tools like SAS, clinical data management systems (CDMS), and CDISC-compliant software is typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help individuals excel in this role. These competencies ensure accurate data standardization, regulatory compliance, and seamless collaboration within distributed teams.

What is a Remote SDTM professional?

A Remote SDTM (Study Data Tabulation Model) professional is a specialist who works remotely to standardize and organize clinical trial data according to the SDTM guidelines set by the Clinical Data Interchange Standards Consortium (CDISC). This role is crucial in preparing datasets for regulatory submissions by ensuring that data collected in clinical studies is consistently formatted and easily understood. Remote SDTM professionals are responsible for mapping raw clinical data into SDTM domains, performing quality checks, and collaborating with data managers and statisticians. Working remotely allows them to support clinical trials for pharmaceutical or biotechnology companies from anywhere, using secure digital tools.
What cities in Virginia are hiring for Remote Sdtm jobs? Cities in Virginia with the most Remote Sdtm job openings:

SAS Programmer

VENESCO, LLC

Falls Church, VA • On-site, Remote

Other

Re-posted 24 days ago


Job description

Description

SAS Programmer

Location: Remote/Hybrid
Job Type: Full-Time

Position Overview:
Venesco is seeking a skilled SAS Programmer to support clinical data analysis and regulatory submission activities.


Requirements

Key Responsibilities:   Develop SAS programs for tables, listings, and figures (TLFs)   Create CDISC-compliant datasets (SDTM and ADaM)   Validate and document programming outputs   Collaborate with statisticians and data management teams   Support regulatory submissions and audits

Minimum Qualifications:   Bachelor's or Master's degree in Statistics or related field   5+ years of SAS programming experience in clinical research   Experience with CDISC standards

Preferred Qualifications:   Experience supporting FDA submissions   Knowledge of Python