Hybrid Senior Clinical Data Science Lead

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About the role

  • Lead clinical data science initiatives at ICON, a leading global healthcare intelligence organization. Focus on data review activities and manage timelines for clinical studies.

Responsibilities

  • Develop and oversee timeliness of clinical data science activities during the life cycle of studies as it relates to data review and data delivery milestones
  • Provide input into clinical system development activities and clinical risk management activities
  • Track and keep functional management and those responsible for project management informed of any issues that might affect project target dates, scope or budget and escalates potential problems effectively and in a timely manner
  • Forecast budget, hours, and resourcing for clinical data review activities
  • Perform analytic review as defined in the scope of work and functional plans focusing on errors that matter or have a meaningful impact on the safety of the subject or interpretation of the final analysis
  • Accountable for the development of planning documents related to data review, data analytics, and data deliverables.
  • Participate in Sponsor and/or third-party audits.
  • Negotiate timelines and key deliverables with clients and/or external customers, vendors, and departments as needed
  • Travel (approximately 15%) domestic and/or international

Requirements

  • 5 + years of clinical data management experience in a clinical research organization or pharmaceutical company
  • 2+ years of experience working in a clinical research organization (CRO)
  • Experience as a functional lead of multiple low and moderately complex studies, whilst acting as a resource for less experienced colleagues
  • Experience with all steps within the data science lifecycle and most major data science study tasks, with proficiency in at least one Clinical Data Management system required (e.g., Medidata Rave, Inform, Oracle Clinical, Veeva)
  • Excellent communication skills
  • Budget and timeline management experience
  • Data Analytic and Data Validation experience
  • Bachelor’s degree or local equivalent
  • Equivalent combination of education, training, and relevant experience may be considered in place of the education and experience stated above.
  • All employees must read, write, and speak fluent English and host country language.

Benefits

  • Various annual leave entitlements
  • A range of health insurance offerings to suit you and your family’s needs.
  • Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead.
  • Global Employee Assistance Programme, TELUS Health, offering 24-hour access to a global network of over 80,000 independent specialised professionals who are there to support you and your family’s well-being.
  • Life assurance
  • Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidised travel passes, health assessments, among others.

Job title

Senior Clinical Data Science Lead

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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