Clinical Data Associate

pfm medical, inc. Logo

pfm medical, inc.

πŸ“Remote - Slovakia

Summary

Join Precision for Medicine as a Clinical Data Associate/Senior Clinical Data Associate and provide comprehensive data management support throughout all phases of clinical trials. You will ensure adherence to SOPs, regulatory guidelines, and study-specific plans. Responsibilities include data cleaning, database testing, quality control, and team collaboration. The role requires 4+ years of data management experience, a Bachelor's degree in a scientific field, and proficiency in Microsoft Office. Preferred qualifications include experience in a clinical setting, medical coding knowledge, and understanding of CDISC standards. The position offers the opportunity to work on a variety of data management tasks and contribute to a dynamic team environment.

Requirements

  • 4+ years’ experience within Data Management
  • Bachelors within scientific/science background and combination of related experience
  • Proficiency in Microsoft Office: Word, Excel, PowerPoint, Outlook
  • Able to handle a variety of data management task and oversight
  • Excellent organizational and communication skills
  • Professional use of the English language; both written and oral
  • Basic knowledge of drug, device and/or biologic development and effective data management practices

Responsibilities

  • Support the Lead DM as a back-up and/or team member, ensuring continuity, responsiveness, and that tasks are performed in a timely manner
  • Perform data entry for paper-CRF studies, as needed
  • Perform quality control of data entry
  • Provide input into timelines. Ensure that clinical data management deadlines are met with quality. May assess resource needs for assigned projects, as needed
  • Assist in developing CRF specifications from the clinical study protocol and coordinate the review/feedback from all stakeholders
  • Assist in building clinical databases
  • Conduct database build UAT and maintain quality controlled database build documentation. May oversee overall quality of the clinical database
  • Assist in specifying requirements for all edit check types e.g., electronic, manual data review, edit checks, etc
  • Responsible for creating, revising, appropriate versioning and maintaining data management documentation
  • Train clinical research personnel on the study specific CRF, EDC, and other project related items as needed
  • Review and query clinical trial data according to the Data Management Plan
  • Perform line listing data review based on the guidance provided by the sponsor and/or Lead DM
  • Run patient and study level status and metric reporting
  • Perform medical coding of medical terms relative to each other in order to ensure medical logic and consistency
  • Assist with coordinating SAE/AE reconciliation
  • Assist with liaising with third-party vendors such as external data and EDC vendors in a project manager capacity in support of timelines and data-related deliverables
  • Assist with SAS programming and quality control of SAS programs used in the Data Management department
  • Identify and troubleshoot operational problems, issues, obstacles, and barriers for studies based on metrics data, audit reports, and input from project team members and other stakeholders
  • Assist in reviewing and providing feedback on protocols, Statistical Analysis Plans (SAP) and Clinical Study Reports (CSRs), if required by the project
  • Assist in participating in the development and maintenance of Standard Operating Procedures (SOPs) and corresponding process documentation related to data management and database management activities
  • Trains and ensures that all data management project team members have been sufficiently trained
  • Communicate with study sponsors, vendors and project teams as needed regarding data, database or other relevant project issues
  • Present software demonstrations/trainings, department/company training sessions, present at project meetings
  • Perform other duties as assigned

Preferred Qualifications

  • Experience in a clinical, scientific or healthcare discipline
  • Dictionary medical coding (MedDRA and WHODrug)
  • Understanding of CDISC standards (CDASH, SDTM, ADaM, etc.)
  • Oncology and Orphan Drug therapeutic experience

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