Senior Data Scientist, Analytics & Informatics

Purpose:
The Technology Solutions team offers technical and business services for UPMCE portfolio companies and investment partners creating innovative healthcare solutions to drive clinical and financial outcomes. We support all stages of a healthcare technology venture’s lifecycle with strategic, implementation, and operational services. The Data Analytics and Informatics Service within the Technology Solutions team provides key data-driven insights for both Digital Solutions and Translational Sciences focus areas to address critical business questions supporting investment and product development life cycles. The Senior Data Scientist on the DAI team will lead the design, development, and deployment of complex analytical models supporting health outcomes research, product development, and strategic business initiatives. The Senior Data Scientist will collaborate closely with clinical faculty, subject matter experts, and business leaders to address pressing healthcare challenges, serving as a key technical expert and mentor for junior team members. This role draws heavily on advanced data science techniques, predictive modeling, and medical informatics, with an emphasis on delivering actionable insights and driving innovation. 

Please note that this position is in-office 3 days per week.

Responsibilities:

• Lead Complex Modeling & Research 
  • Conceptualize and implement complex statistical and machine learning models to evaluate health outcomes, cost-effectiveness, and other critical business needs. 
  • Collaborate with clinical faculty and subject matter experts to identify research hypotheses and conduct rigorous analyses using large real-world healthcare data sets.
• Mentorship & Team Leadership 
  • Provide guidance and mentorship to junior and mid-level Data Scientists, reviewing their work, offering technical support, and promoting best practices. 
  • Facilitate knowledge-sharing sessions to encourage professional growth, foster collaboration, and maintain high-quality standards within the team.
• Project & Stakeholder Management 
  • Independently manage large-scale data science projects, including scoping, planning, execution, monitoring, and stakeholder communication. 
  • Collaborate cross-functionally to align data-driven initiatives with strategic objectives, ensuring timely delivery of insights and solutions that address business challenges. 
  • Serve as a trusted advisor by proactively identifying opportunities to apply advanced analytics for improved clinical and financial outcomes.
• Data Extraction & Analysis 
  • Review data extraction processes using electronic medical records (EMRs) and additional healthcare data sources to generate high-fidelity datasets for analysis. 
  • Design and maintain end-to-end analytical pipelines, including pre-processing, validation, feature engineering, model development, and performance monitoring.
• Advanced Analytics & Methodology 
  • Apply observational study designs, advanced causal inference methods (e.g., propensity scores, handling missing data), and statistical techniques relevant to healthcare research. 
  • Explore, evaluate, and integrate emerging technologies (e.g., AI/ML frameworks, cloud-based tools) to continuously improve modeling efficiency and scalability.
• Communication & Knowledge Translation 
  • Present findings through clear, compelling visualizations and narratives that resonate with both technical and non-technical audiences, including senior executives. 
  • Contribute to manuscripts, abstracts, posters, and conference presentations, demonstrating the impact of advanced analytics in healthcare.
• Continuous Improvement & Thought Leadership 
  • Stay abreast of industry trends, research advances, and best practices in data science and healthcare analytics. 
  • Proactively share insights and implement innovative analytics methods to maintain UPMCE’s position as a thought and technical leader in the healthcare data science space.