Lead Clinical Data Scientist
hace 7 días
Do you want to make a real difference in the world of clinical development? As a Lead Clinical Data Scientist at ICON, you will have the opportunity to do just that.
The Lead Clinical Data Scientist serves as the primary contact for internal and external team members regarding clinical data science data review activities and leads these review activities to ensure delivery of data fit for analysis. They are accountable for achieving clinical data science deliverables on-time, with high-quality, and to agreed metrics.
About the role:
- 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.
About you:
- 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.
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