Senior Data Scientist, Analytics & Informatics

UPMC Senior Communities • $100K — $130K *
Pittsburgh, PA 15237In-Person
Healthcare
5 - 7 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • Master's in health economics, data science, statistics, computer science or related field with 5+ years of relevant experience, or PhD/MD with 3+ years of experience.
  • Expertise in healthcare analytical methods (payor/provider) is essential.
  • Proven independent application of data science methods to healthcare data is required.
  • Advanced proficiency in research methodologies to generate insights is necessary.
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure) is crucial.

Responsibilities

  • Lead design and implementation of complex statistical and machine learning models for health outcomes.
  • Mentor junior data scientists, providing support and promoting best practices.
  • Manage large-scale data science projects independently, ensuring alignment with business objectives.
  • Review data extraction processes to create high-quality datasets.
  • Apply advanced causal inference methods relevant to healthcare research.
  • Present findings to technical and non-technical stakeholders through visualizations and narratives.
  • Stay updated on industry trends to share insights and improve analytics methodologies.

Benefits

  • Opportunities for professional growth through mentorship and knowledge sharing.
  • Involvement in innovative healthcare solutions impacting clinical outcomes.
  • Collaboration with clinical faculty and subject matter experts.
  • Access to advanced analytics tools and methodologies.
  • Engagement in cross-functional projects that align data initiatives with strategic objectives.
Full Job Description
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.


Qualifications:

  • 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

About UPMC Senior Communities

UPMC Senior Communities Careers

There has never been a better time to explore the diverse job opportunities at UPMC Senior Communities—the leading network of senior living facilities focused on innovative care and professional excellence.

Work You’ll Do

Join UPMC Senior Communities to assist in transforming the experience of aging through top-tier care and wellness programs. This is an opportunity to be part of a team that values leadership, diversity, and innovation in the healthcare sector. Lead in a unique role where skills in healthcare, empathy, and leadership converge to enhance the lives of seniors. UPMC Senior Communities stands at the forefront of the industry, integrating advanced technology and personalized care practices. Engage with a professional network of healthcare providers and administrators dedicated to pioneering improvements in senior living. Collaborate with over 3,000 dedicated professionals across various facilities.

Introducing the UPMC Senior Communities Professional Development Program

The program is designed to foster career growth through comprehensive training, leadership development, and diversity training. UPMC Senior Communities is committed to nurturing the professional growth of its team members through continuous education and opportunities for advancement.

Do Innovative Work

Be part of a culture that thrives on innovation and continuous improvement. UPMC Senior Communities employs a vast array of healthcare professionals and support staff, all dedicated to setting new standards in senior care.

Drive Change in Senior Healthcare

Deliver targeted solutions and personalized care that significantly improve the quality of life for residents. UPMC Senior Communities offers a platform for professionals to apply their expertise in a meaningful and impactful way.

Be Part of a Great Team

Work alongside a team that values compassion and professionalism, harnessing the collective capabilities to deliver exceptional care. UPMC Senior Communities promotes a collaborative environment where every team member’s contribution is valued.

Future-Proof Your Career

Advance your career within UPMC Senior Communities through a variety of pathways, from direct care positions to administrative roles. Enjoy robust benefits, professional development programs, and a supportive work environment that encourages long-term career growth.

Explore

Discover how UPMC Senior Communities leads the way in senior healthcare innovation: - Implementing cutting-edge health technology to enhance resident care - Developing community-based programs that support holistic wellness

The UPMC Senior Communities Employment Promise

With a commitment to employee satisfaction and career development, UPMC Senior Communities ensures that all team members have the resources and support to succeed. Clients and their families rely on UPMC Senior Communities for compassionate and skilled care, making it a prime choice for those seeking meaningful employment in the healthcare sector.

Stay Connected

Join the Team

Search open positions that match your skills and interests. UPMC Senior Communities looks for passionate, curious, creative, and solution-driven team players. SEARCH UPMC SENIOR COMMUNITIES JOBS

Keep Up to Date

Stay ahead with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work at UPMC Senior Communities.

READ CAREERS BLOG

Job Alert Emails

Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Explore the exciting and rewarding opportunities that await at UPMC Senior Communities.
Learn more about UPMC Senior Communities
Industry
Hospitals & Medical Centers
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at UPMC Senior Communities

More Healthcare Jobs

Find similar Senior Data Scientist, Analytics & Informatics jobs:

NationwidePittsburgh, PA