Operational Design Analytics, Manager

Role Summary

Operational Design Analytics, Manager

Responsibilities

• In partnership with the ODA Senior Team, surface feasibility parameters, including historical trial performance metrics (enrollment rate, screen failure rate, drop-out rates, and completion rates) and other related clinical trial metadata.
• Leverage internal data and predictive analytics tools to inform on study planning & placement decisions.
• Collate global site performance data to support recommendations for the most effective geographic footprint based on a study’s specific requirements.
• Surface potential enrollment challenges by quantifying how specific eligibility criteria can impact recruitment rates and trial durations.
• Harmonization and mastering of various data sources applied by cross-functional teams for study planning and predictive modeling.
• Driving data quality and process improvement projects to accelerate efficiencies within the ODA Team.
• Collaborate with cross-functional data colleagues to curate biologically driven training datasets for Machine Learning applications.
• Apply REM data insights to support the successful enrollment of the Diversity Action Plan (DAP) targets and DAP Mitigation Plans.

Qualifications

• Basic Qualifications:
  • Doctorate degree
  • Or Master’s degree and 2 years of relevant experience
  • Or Bachelor’s degree and 4 years of relevant experience
  • Or Associate degree and 8 years of relevant experience
  • Or High school diploma / GED and 10 years of relevant experience
• Preferred Qualifications:
  • BA/BS/BSc in the sciences or RN
  • 9 years’ work experience in life sciences or medically related field, including 6 years of biopharmaceutical clinical development
  • Experience in maximizing data and analytics to inform clinical trial planning
  • Experience with clinical data sources and understanding of how/when to apply them (fit for purpose approach)
  • Ability to integrate & synthesize data as it relates to operational planning and apply to facilitate data-driven decision making
  • Understands how data and analytics can inform study design and operational planning

Skills

• Data analysis and predictive analytics
• Data curation and quality assurance
• Cross-functional collaboration
• Communication and teamwork
• Experience with clinical data sources and ML data preparation

Education

• Doctorate or Master’s/Bachelor’s/Associate/High school with relevant experience as listed in Basic Qualifications

Additional Requirements

• None specified