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Remote Sdtm Jobs in Washington (NOW HIRING)

VENESCO, LLC

SAS Programmer

Falls Church, VA · On-site +1

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 ...

Goldbelt, Inc.

Biostatistician

Silver Spring, MD · On-site +1

$50/hr

SDTM datasets * ADaM datasets * Define.xml documentation * SDRG/ADRG documentation * Generate and ... Remote work may be permitted, subject to task requirements and Government approval. Position Type:

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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 are popular job titles related to Remote Sdtm jobs in Washington? For Remote Sdtm jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Sdtm jobs in Washington look for? The top searched job categories for Remote Sdtm jobs in Washington are:
Remote Sdtm jobs near you

Clinical SAS Programmer

Interon IT Solutions

Chantilly, VA • Remote

Contractor

Posted 17 days ago

Job description

#W2 Role

Job Title: Clinical SAS Programmer

No of positions- 2

Location- Remote
Experience Required:6+ Years
Education: Bachelor’s degree in Computer Science, Computer Engineering, or related technical field
 

Job Summary

We are seeking a Clinical SAS Programmer with strong experience in SAS programming and CDISC standards within a regulatory environment. The ideal candidate will be responsible for creating and validating SDTM domains and ADaM datasets, developing mapping specifications, and supporting clinical data programming activities with accuracy and compliance.

Key Responsibilities

  • Develop and validate specifications for creating SDTM domains from raw/source clinical data.
  • Create and validate CDISC-compliant SDTM domains and ADaM datasets using SAS.
  • Prepare mapping specifications from CRF and other raw data sources to appropriate SDTM domains.
  • Develop specifications to map SDTM datasets to ADaM datasets.
  • Write clear and detailed programming instructions for complex data derivations.
  • Perform dataset validation and quality checks to ensure regulatory compliance and data integrity.
  • Develop SAS macros and reusable programs to improve efficiency and streamline workflow.
  • Apply advanced SAS programming techniques for custom clinical data programming needs.
  • Work effectively in a dynamic environment and adapt quickly to changing project requirements.

Required Qualifications

  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
  • 4+  years of experience in clinical SAS programming.
  • Strong hands-on experience using SAS to create CDISC-compliant outputs in a regulated clinical environment.
  • Solid understanding of SDTM, ADaM, and clinical data standards.
  • Experience in writing and validating dataset specifications.
  • Familiarity with P21 software.
  • Excellent written and verbal communication skills.

Preferred Qualifications

  • Experience with R and Python is a strong plus.
  • Ability to work independently and collaboratively within cross-functional teams.
  • Strong attention to detail and problem-solving skills.