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Clinical Data Manager in San Diego, CA at Vaco

Date Posted: 2/1/2019

Job Snapshot

  • Employee Type:
    Full-Time
  • Location:
    San Diego, CA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    2/1/2019
  • Job ID:
    CLINI98159

Job Description

Our client in San Diego is looking for a Clinical Data Manager to join their team on a contract basis. This position will provide operational support of sample collection, clinical validation and reproducibility studies within standardized DM processes, SOPs and documentation templates to generate key project DM deliverables (Data Management Plans, Data Transfer Plans, Database Specifications, etc.)

Responsibilities:

  • Work with Electronic Data Capture tools and vendors and assist with development, design and testing of project Case Report Forms, DM workflows Develop in house data processing software, database loading, processing and reporting tables
  • design and execute software test cases for software validation exercises
  • Effectively communicate and manage expectations with project teams and EDC tool vendors and handle timely change requests as needed
  • Research support requests and troubleshoot issues

Required Skills:

  • Bachelor's degree in a biomedical or computer science discipline
  • Proficient in computer skills for communication and reporting (word processing, spreadsheets, presentations and flowcharts)
  • Proficient in computer programming skills (Python, MS Visual Studio) and database development environments (MySQL, SQL Server)
  • Strong communication and partnership skills with clinical site personnel, Clinical Research Associates, Biostatistics and external tool vendors
  • Strong knowledge of medical and data management terminology
  • Experienced and understands the practice of Software Development Life Cycle (SDLC) particularly in the validation and verification of software
  • Experienced and understands the practice of Clinical Data essentials for trial management including CRF design and completion guidelines and development of processes and audit trails for handling data transfers