Parexel

Data Surveillance Analyst

Parexel

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇱🇹 Lithuania

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Job Level

Mid-LevelSenior

Tech Stack

Google Cloud PlatformSQL

About the role

  • Analyze scientific and operational data to support the Data Surveillance process
  • Support the development of Data Surveillance Plans (DSPs)
  • Conduct defined project reviews
  • Attend internal and external Data Surveillance meetings, presenting findings to the project team
  • Review relevant data via the scoped technologies, identifying findings related to trends, outliers, emerging risks, and systemic issues
  • Document findings from Data Surveillance review
  • Provide feedback and work with Technology teams to identify potential solutions
  • Perform presentations explaining identified findings
  • Apply working knowledge and judgment to identify and evaluate potential data quality trend, outliers, and emergent issues
  • Actively participate in external or internal meetings and audits & regulatory inspections as required
  • Maintain a working knowledge and ensure compliance with applicable ICH-GCP Guidelines, international and local regulations, Parexel SOPs, and other training requirements.
  • Collaborate with DS Team Members to correlate findings from various sources
  • Support Project Leads with DS Review meeting, driving reviews and decisions as needed
  • Engage DS Team to compile signals/actions into client ready list
  • Support documentation of actions in Clue Points Issue Management system
  • Complete, share, and file Central Monitoring Report
  • Support Data Surveillance close out activities

Requirements

  • Min. 2 to 3 years of relevant medical, clinical or data management work experience.
  • Experience of working within an adaptive monitoring design study, and/or participating in a Central Monitoring/Data Surveillance process highly recommended.
  • Basic SAS programming and/or SQL script writing required.
  • Experience with CluePoints system required.
  • Educated to a degree level (medical, biological science, pharmacy, and/or data analytics, preferred)
  • Fluent English – spoken & written
  • Familiarity with centralized monitoring and Data Driven Monitoring practices.
  • Proficient in data analysis, trend identification, and issue triage.
  • Knowledge of programing languages highly recommended.
  • Risks management and control, quality management and assurance experience preferred.
  • Client-focused with strong quality orientation.
  • Effective in matrix and global virtual team environments.
  • Excellent interpersonal and communication skills, including presentation abilities.
  • Strong time management and multitasking capabilities.
  • Ability to work independently with minimal supervision.
Benefits
  • Competitive financial packages
  • Training and development
  • Flexible work arrangements
  • Smooth induction and training program

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SAS programmingSQL script writingdata analysistrend identificationissue triagedata quality evaluationadaptive monitoring designcentralized monitoringdata driven monitoring
Soft skills
client-focusedquality orientationinterpersonal skillscommunication skillspresentation abilitiestime managementmultitaskingindependent workcollaboration