FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in clinical data management, including eCRF development and EDC workflows, while ensuring compliance with regulatory standards such as ICH-GCP and 21 CFR Part 11. Proficient in utilizing AI and automation tools for data quality and anomaly detection in clinical research environments.
Highest-signal resume keywords
Clinical Data ManagementECRF DevelopmentOpenClinica ExperienceSQL ProgrammingAI and Automation Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
ECRF SystemsEDC Platform SupportDatabase DevelopmentSQLPythonRJavaPL/SQLT-SQLData Quality Tools
Soft Skills
Strong Communication SkillsProblem-Solving SkillsAttention to Detail
Tools & Technologies
OpenClinicaMedidata RaveOracle ClinicalVeeva Vault EDC
Industry Keywords
Clinical Trial ProcessesData Management PrinciplesICH-GCP21 CFR Part 11CDISC/CDASHSDTM StandardsHIPAA Compliance
Tech Stack
Tools & technologiesJavaOraclePythonSQLVault
About the role
Key responsibilities & impact- Coordinate eCRF development, EDC workflows, and system requirements for clinical research studies
- Design, analyze, and optimize EDC tools, including forms, dictionaries, logic, reports, derivations, and custom functions
- Develop OpenClinica workflows, SOPs, user guides, and standardized templates to support chart review and data abstraction
- Serve as a subject matter expert in clinical data collection, unstructured data variables, and data quality expectations
- Support AI-enabled tools and automation for data review, anomaly detection, query prioritization, trend identification, and workflow optimization
- Ensure AI-supported outputs are documented, validated, reviewed appropriately, and used with human oversight
- Partner with study teams, users, vendors, and cross-functional stakeholders to align workflows with project scope, timelines, quality standards, performance expectations, and risk considerations
- Manage multiple priorities with strong attention to detail and problem-solving skills
Requirements
What you’ll need- Degree or equivalent and typically requires 4+ years of relevant experience
- Bachelor’s degree in science, computer science, clinical research, or a related field
- 4+ years of experience in clinical data management, database development, eCRF systems, or EDC platform support
- Experience with OpenClinica, Medidata Rave, Oracle Clinical, Veeva Vault EDC, or similar platforms
- Knowledge of clinical trial processes, data management principles, ICH-GCP, 21 CFR Part 11, CDISC/CDASH, or SDTM standards
- Programming or scripting experience with SQL, Python, R, Java, PL/SQL, T-SQL, or similar languages
- Experience with AI, machine learning, automation, advanced analytics, or data quality tools in clinical research or healthcare data environments
- Strong communication skills with the ability to collaborate across clinical, operational, technical, and vendor teams
- Ability to maintain compliance with HIPAA and patient confidentiality requirements
Benefits
Comp & perks- Competitive compensation package
- Annual bonus or long-term incentive opportunities may be offered
- Hybrid work arrangement possibility
- Equal employment opportunities
- Reasonable accommodation for job search or application