2

Remote Clinical Data Management Jobs in Missouri

Fri remote) for candidates in the Kansas City area and open to qualified remote candidates outside ... A Bachelor's Degree in Computer Science, Data Science, Management Information Systems, Business ...

$42K - $55K/yr

Help to develop internal "best practise" guides for clinical evaluation and data requirements ... This is a remote position that can be based in Europe. As compensation varies by country and local ...

$42K - $55K/yr

Help to develop internal "best practise" guides for clinical evaluation and data requirements ... This is a remote position that can be based in Europe. As compensation varies by country and local ...

The Associate Director partners closely with Research, Clinical Development, Bioanalytical, Regulatory, Project Management, and other R&D functions, contributing to clinical study design, data ...

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... You will play a pivotal role in managing data infrastructure, optimizing data workflows, and ...

Europe-remote working arrangement. * International and multidisciplinary working environment. * Exposure to biological research, regulatory processes, data management, and digital transformation.

Senior Data Steward

Saint Louis, MO ยท Remote

$24.42 - $30.53/hr

Data Entry/Management, Quality & Cleansing: Input, update, and maintain data in databases and ... Research and analytical skills Job Will Remain Open Until Filled #LI-TS1 #LI-Remote The Company is ...

Medical Science Specialist

Saint Louis, MO ยท On-site +1

$187K - $257K/yr

You will be responsible for communicating complex clinical data, supporting investigator-initiated ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

Medical Science Specialist

Saint Louis, MO ยท Remote

$187K - $257K/yr

You willbe responsible forcommunicating complex clinical data, supporting investigator-initiated ... Remote USA Travel: May include up to 75 % Relocation Assistance: Not authorized Pay Transparency ...

next page

Showing results 1-20

Remote Clinical Data Management information

What is remote clinical data management?

Remote clinical data management involves overseeing and maintaining the accuracy, integrity, and security of clinical trial data from a location outside of a traditional office or clinical site. Professionals in this field use digital tools and software to collect, validate, and analyze data gathered during clinical studies, ensuring regulatory compliance and high data quality. This role is essential for supporting drug development and medical research, and typically requires strong attention to detail, knowledge of data management systems, and understanding of clinical trial processes.

What are the key skills and qualifications needed to thrive as a remote clinical data manager, and why are they important?

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data standards, database management, and regulatory compliance, typically supported by a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management systems (CTMS), and certifications such as CDM (Certified Clinical Data Manager) are highly valuable. Strong attention to detail, analytical thinking, and effective communication are crucial soft skills for managing data integrity and collaborating with cross-functional teams remotely. These skills ensure accurate, compliant data collection and reporting, which are vital for successful clinical trials and regulatory submissions.

What are some common challenges faced when managing clinical data remotely, and how can they be addressed?

Remote Clinical Data Management professionals often encounter challenges such as ensuring data integrity, maintaining secure access to sensitive information, and staying aligned with team workflows despite geographic separation. To address these issues, it's important to leverage validated electronic data capture (EDC) systems, follow strict data security protocols, and participate in regular virtual meetings for clear communication. Building strong relationships with cross-functional teams and staying proactive about regulatory updates also contribute to overcoming these remote work challenges.

What are the most commonly searched types of Clinical Data Management jobs in Missouri?

The most popular types of Clinical Data Management jobs in Missouri are:

What are popular job titles related to Remote Clinical Data Management jobs in Missouri?

For Remote Clinical Data Management jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Clinical Data Management jobs in Missouri look for?

The top searched job categories for Remote Clinical Data Management jobs in Missouri are:

What cities in Missouri are hiring for Remote Clinical Data Management jobs?

Cities in Missouri with the most Remote Clinical Data Management job openings:

Infographic showing various Remote Clinical Data Management job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Data/Lakehouse Architect - FHIR & Clinical Data

S2Tech

Jefferson City, MO โ€ข Remote

$60.50 - $77.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Data/Lakehouse Architect - FHIR & Clinical Data

Location: Remote โ€“ U.S.ย  with travel to Jefferson City, MO (as directed)

About Us:

Known for โ€œDelighting the Clientโ€ through performance, innovation, and an employee-centric culture, S2Tech is a fast-growing IT consulting company serving clients in over a quarter of the United States. We are widely recognized as a leading provider of both technical and business services in support of Health and Human Services-related projects. Feel free to learn more at www.s2tech.com.

Why S2Tech?:

  • Stable, privately-owned company with a strong reputation for building long-term client relationships through the delivery of consistent value-based service
  • 25+ years providing IT and Business services to private customers and government programs throughout the United States
  • Expansive client portfolio and active projects โ€“ employees benefit from innovative project exposure and in-house skill development training/courses ย 
  • Corporate culture that emphasizes the importance of family and promotes a healthy work-life balance
  • Offer competitive pay and a range of benefits, including:
    • Medical / Dental / Vision Insurance โ€“ insurance premium assistance provided
    • Additional Insurance (Life, Disability, etc.)
    • Paid Time Off
    • 401(k) Retirement Savings Plan & Health Savings Account
    • Various training courses to promote continuous learning
    • Corporate Wellness Program
  • Be part of a company that gives back through its non-profit organization, Fortune Fund, which was launched in 2001. The goal of the Fortune Fund is to close the rural/urban divide by ensuring children in rural communities in India and the United States understand the importance of education & are aware of professional career opportunities, allowing them to link their professional & educational goals

Job Overview:

Lead the data architecture and engineering design for Missouriโ€™s Integrated Health Data Fabric (MIHDF), expanding the Stateโ€™s existing enterprise lakehouse into a governed, interoperable data foundation. Must combine hands-on clinical-feed normalization with AWS ingestion architecture, canonical/FHIR data modeling, and enterprise metadata and lineage practices.

Responsibilities:

  • Define and implement the lakehouse data architecture across raw/bronze, curated/silver, and reporting/gold layers while preserving source fidelity and auditability
  • Design batch, near-real-time, and event-driven ingestion pipelines for clinical, claims, eligibility, social-care, and public-health data using AWS-native services, including AWS Glue
  • Map heterogeneous clinical feeds into governed transactional and analytical structures using canonical and FHIR-aligned data models
  • Establish data-quality, validation, reconciliation, deduplication, harmonization, schema-evolution, and exception-management controls
  • Implement metadata management, lineage, data cataloging, provenance, retention, and traceability from source through downstream reports and APIs
  • Coordinate lakehouse integration with the FHIR platform, API layer, master data/patient identity capabilities, analytics, and downstream CMS/state reporting
  • Produce architecture decisions, data mappings, interface specifications, runbooks, and knowledge-transfer materials suitable for State operations
  • Collaborate with security, integration, FHIR, analytics, and delivery teams in a multi-vendor Medicaid environment

Mandatory Qualifications:ย  ย 

  • 8+ years mapping unstandardized clinical data feeds into cloud-hosted transactional database tables
  • 8+ years of data engineering or data architecture experience covering AWS, ingestion pipelines, canonical/FHIR data modeling, and metadata/lineage
  • Demonstrated ability to translate healthcare source data into governed, production-grade data models and pipelines
  • Ability to perform all work within the United States and support Jefferson City onsite needs as directed

Preferred Qualifications:ย 

  • Deep FHIR R4, US Core, HL7 v2, CDA/C-CDA, healthcare terminology, or implementation-guide experience
  • AWS Glue, S3, lakehouse, catalog, orchestration, observability, and data-security experience
  • Medicaid, MMIS/MES, state health and human services, claims/eligibility, or public-health data experience
  • Experience with master patient index/master data management, consent, data governance, CMS reporting, or HIPAA/MARS-E controls

S2Tech is committed to hiring and retaining a diverse workforce. We are an equal opportunity employer making decisions without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected class.