• Master’s in health economics, data science, statistics, computer science or related field, with at least 5 years of experience in developing, implementing and overseeing models related to health services/ outcomes research and medical information programs or related work experience; 
• OR, PhD/MD with training or equivalent terminal degree in health economics, data science, statistics, computer science or related field, with at least 3 years of experience in developing, implementing and overseeing models related to health services/outcomes research and medical information programs or related work experience. 
• Comparable combination of education and experience will be considered in lieu of the above stated qualifications. 
• Demonstrated expertise in relevant applied analytical methods in healthcare (payor/provider).
• Demonstrate prior independent application of data science methods specifically to healthcare industry data. 
• Ability to leverage cutting-edge data science experience from other industries (e.g., population segmentation, risk analysis, optimization analysis, real-time analytics) to advance healthcare analytics will be strongly considered in lieu of health care experience.
• Advanced Analytics Skillset 
  • Advanced proficiency in clinical and scientific research methodologies to generate research questions, query complex clinical data to conduct descriptive and predictive analysis that create new insights to address UPMCE’s business needs. 
  • Experience with cloud-based data platforms and tools (e.g., AWS, Azure, GCP) to build, deploy, and scale models. 
  • Strong understanding of observational study designs, confounding control, and real-world data (RWD) analytics. 
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) for creating impactful reports. 
• Communication & Stakeholder interaction 
  • Effective data analysis and interpretation skills with ability to draw and present quantitative conclusions leveraging graphs, and other visualizations to enable rapid understanding of clinical data to deliver business insights. 
  • Excellent verbal and written communication skills to translate complex concepts into actionable insights for diverse stakeholders, including senior leadership and customers. 
  • Ability to represent analytics methodologies, findings, and recommendations in cross-functional forums, influencing the team leadership’s decision-making. 
  • Exceptional interpersonal skills, and entrepreneurial orientation characterized by pragmatism, independence, self-determination, and an agile, flexible behavior style. 
  • Excellent communicator with ability to prepare and deliver clear scientific and business communication materials (documents, presentations) for internal and external facing activities. 
  • Ability to influence team leadership and customers through effective communication of data science methods and study results. 
• Business 
  • Demonstrated understanding of the differences between business requirements, scientific rigor, and technical constraints with ability to distill complex issues and ideas down to simple comprehensible terms. 
  • Demonstrated understanding of financial metrics and cost efficiencies that have a positive business impact. 
• Project Management 
  • Proven track record of successfully leading and delivering large projects in fast-paced, matrixed environments. 
  • Strong mentoring skills, with the ability to guide junior team members in adopting best practices and improving their technical capabilities. 
  • Exceptional time management, organizational, and prioritization skills with experience in agile/scrum methodologies. 
  • Self-driven, scientifically curious individual who thrives in a high pace, and rapidly evolving business environment that supports entrepreneurs and founders. 
• Preferred 
  • Background in applying AI/ML to real-time analytics, optimization, or population health segmentation. 
  • Experience with advanced analytics research infrastructure and platforms. 

  • Previous publications or presentations at scientific conferences showcasing successful data science initiatives.

     

Licensure, Certifications, and Clearances:
 

• Act 34

UPMC is an Equal Opportunity Employer/Disability/Veteran