This role pays less than
80%
of similar roles. Most pay
$125,410–$180,500
— the shaded band above.
At the midpoint, this role pays about
$121k
versus about
$153k
for comparable roles.
Based on 240 similar postings.
Employer
About McKesson Corporation
McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.
McKesson Corporation currently has
59 open roles
on FindRole.
Listed pay typically runs
$127,400–$211,300
across 59 roles with salary data.
Clinical Database Specialist (eCRF Design)
The Clinical Database Specialist (eCRF Design) supports eCRF development, EDC workflows, and AI-enabled clinical data solutions within the clinical data systems team. This role involves coordinating system requirements for research studies, designing and optimizing EDC tools such as forms, dictionaries, logic, and reports, and developing OpenClinica workflows, SOPs, and standardized templates. The position focuses on improving data quality and workflow efficiency through the integration of AI-enabled tools for anomaly detection and query prioritization. Key technical skills include experience with platforms like OpenClinica, Medidata Rave, Oracle Clinical, or Veeva Vault EDC, alongside knowledge of CDISC/CDASH and SDTM standards. Candidates should possess programming proficiency in SQL, Python, R, Java, or PL/SQL. The role addresses the challenge of managing unstructured data variables and ensuring compliant, high-quality data collection within clinical research environments.
Coordinate eCRF development, EDC workflows, and system requirements for clinical research studies.
Design, analyze, and optimize EDC tools including forms, dictionaries, logic, reports, and custom functions.
Develop OpenClinica workflows, SOPs, user guides, and standardized templates to support data abstraction.
Serve as a subject matter expert in clinical data collection and unstructured data variables.
Support AI-enabled tools and automation for data review, anomaly detection, and query prioritization.
Ensure all AI-supported outputs are documented, validated, and reviewed under human oversight.
Partner with cross-functional stakeholders to align workflows with project scope, timelines, and quality standards.
Maintain strict compliance with HIPAA and patient confidentiality requirements.
What we're looking for
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 (preferred).
Strong communication skills and ability to collaborate across clinical, operational, technical, and vendor teams.
EDC
Medidata RAVE
Veeva EDC
CDASH
SDTM
IRT
ePRO
Clinical Trial Systems
Data Standards
Project Management Tools
Good Clinical Practices (GCP
ICH Guidelines
EDC
Medidata RAVE
Veeva EDC
CDASH
SDTM
IRT
ePRO
Clinical Trial Systems
Data Standards
Project Management Tools
Good Clinical Practices (GCP
ICH Guidelines
EDC
Medidata RAVE
Veeva EDC
CDASH
SDTM
IRT
ePRO
Clinical Trial Systems
Data Standards
Project Management Tools
Good Clinical Practices (GCP
ICH Guidelines
EDC
Medidata RAVE
Veeva EDC
CDASH
SDTM
IRT
ePRO
Clinical Trial Systems
Data Standards
Project Management Tools
Good Clinical Practices (GCP
ICH Guidelines