Remote Clinical Data Management Developers in 24 Hrs!
Recruit the top offshore remote Clinical Data Management Developers, including expert software engineers, consultants, technical leads, and architects through RapidBrains. Our talent marketplace provides access to dedicated full-time developers on a contract basis. Build your team with affordable professionals skilled in Hydrogen, React Native, Storefront API, front-end and back-end technologies
List all Clinical Data Management DevelopersThe smartest way to hire remote developers on contract
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Hire remote developers with strong technical and communication skills at an affordable rate of 12 USD per hour
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Structured screening & technical evaluation
With a pre-vetted talent pool of 500,000+ skilled remote developers, candidates undergo in-depth assessments with our in-house technical experts to validate their experience, technical proficiency, and problem-solving abilities.
- Comprehensive First-Level Evaluation Conducted by Our In-House Experts
- Evaluation of past project experience & problem-solving skills
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On-Demand skill assessment based on client specification
We offer customized skill assessments based on client requests. Clients can select from a variety of evaluation methods to ensure the best talent fit.
- Technology-specific coding tests & project-based evaluations
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Essential Skills for Clinical Data Management Developers
Clinical Data Management Developers are focused on the development of systems that capture, clean and confirm clinical trial data accurately. They use programming within a context of regulation to provide high-quality and appropriate regulatory-compliant clinical data processing.
Knowledge of CDM tools
Using tools such as Medidata Rave or Oracle Clinical to process and manage clinical data.
Database Development
Developing clinical trial databases to ensure correct data capture, validation, and safe storage of clinical data.
Clinical Data Standards
Applying CDISC standards such as SDTM and CDASH to ensure consistent formatting and submission readiness with regulatory agencies.
Programming (SAS/SQL/Python)
Using SAS, SQL, or Python to assist with data cleaning, validation checks, and study report generation.
Data Cleaning & Validation
Developing edit checks to ensure clinical data is accurate, consistent, and complete throughout clinical trials.
Regulatory Guidelines
Understanding the regulatory requirements of FDA, GCP, and HIPAA standards and remaining compliant while managing clinical data.
Liaise with Clinical Teams
Collaborating with clinical operations and biostatistics teams, and regulatory affairs to ease the workflow of data management.
