Operational Design Analytics, Manager

Role Summary

Operational Design Analytics, Manager — Join Amgen’s mission to serve patients by driving data-driven clinical trial planning and execution within the Clinical Program Operations function. Collaborate with cross-functional teams to develop predictive analytics and improve the data ecosystem to support high-potential programs for patients worldwide.

Responsibilities

• In partnership with the ODA Senior Team, surface feasibility parameters and historical trial metrics to inform study planning.
• Leverage internal data and predictive analytics tools to inform study planning and placement decisions.
• Collate global site performance data to support recommendations for optimal geographic footprint.
• Identify potential enrollment challenges by evaluating how eligibility criteria impact recruitment and trial duration.
• Harmonize and master data sources for study planning and predictive modeling.
• Drive data quality and process improvements to accelerate efficiencies within the ODA Team.
• Collaborate with cross-functional data colleagues to curate training datasets for machine learning applications.
• Apply REM data insights to support Diversity Action Plan targets and 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 fit-for-purpose application
  • Ability to integrate and synthesize data for operational planning and data-driven decision making
  • Understanding of how data and analytics inform study design and operational planning

Skills

• Data storytelling and communication in cross-functional settings
• Data curation and quality assurance
• Predictive analytics and modeling concepts
• Proficiency with clinical data sources and analytics platforms

Education

• As listed in Basic/Preferred Qualifications

Additional Requirements

• None beyond listed qualifications