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Parexel Logo Parexel · IT - Administration

Data Management Lead

United States · Job Posted January 16, 2026
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Job Description

At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you!

Job Responsibility

  • Develop risk management strategies and proactively manage timelines to ensure successful oversight and delivery of studies and projects
  • Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones
  • Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models
  • Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data
  • Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results
  • Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis
  • Manage and coordinate the integration and utilization of all ancillary systems
  • Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan
  • Review and analyze metrics to derive meaningful summaries of study health and trends
  • Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators
  • Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs
  • Ensure appropriate project-level resourcing of staff and staff assignments
  • Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand
  • Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope
  • Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole
  • Support other functions by providing meaningful feedback on initiatives
  • Ensure Parexel-requested information entered into management systems is accurate and regularly updated
  • Maintain training compliance as per job roles assigned, including on-the-job training
  • Deliver project-specific training to internal Data Management teams
  • Address training needs based on identified development goals

Requirements

  • BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience
  • 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data)
  • Medical affairs experience (Phase IIIB - IV trials experience)
  • Late Phase Oncology
  • Strong project management experience
  • Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required)
  • Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity
  • Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing
  • Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques
  • Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment
  • Ownership and accountability relative to key accountabilities in the job description
  • Ability to travel as required
  • Written and oral fluency in English

Nice to have

  • Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI)
  • Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau)
  • Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming
  • BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions
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