Applied Data Science Jobs (NOW HIRING)

One of the nation’s largest and most respected providers of hospital and healthcare services, Universal Health Services, Inc. (UHS) has built an impressive record of achievement and performance. Growing steadily since its inception into an esteemed Fortune 500® corporation, annual revenues  during 2025 were $17.4 billion. In 2026, UHS was again recognized as one of Fortune World’s Most Admired Companies™ and in 2025, was listed in Forbes ranking of America’s Largest Public Companies.  

Headquartered in King of Prussia, PA, UHS has approximately 101,500 employees and continues to grow through its subsidiaries. Operating acute care hospitals, behavioral health facilities, outpatient facilities and ambulatory care access points, an insurance offering, a physician network and various related services located in 40 U.S. states, Washington, D.C., Puerto Rico and the United Kingdom. For additional information visit www.uhs.com. 

The Information Services Department is seeking a dynamic and talented Applied Data Scientist.

The Applied Data Scientist recommends and implements methodologies appropriate to large scale data analytics, including those commonly involved in large-scale Machine Learning (ML) and Artificial Intelligence (AI). Devises and tests analytic processes and algorithms. Recommends data visualization techniques and identifies and integrates new information sources. Applies methodologies to large data sets and finds opportunities for product and process optimization across the company. Uses models to test the effectiveness of different courses of action. Advances the organization’s analytic approach and capabilities in support of both patient care and business operation decisions. Collaborates across departments and functions including Information Services, Process Improvement, Quality and with other organizational stakeholders to improve business outcomes.

Key Responsibilities include:

Problem Analysis:

• Provides analysis to identify critical issues/questions around key performance metrics.
• Conducts exploratory data analysis from potentially complex, disparate data sources to recognize patterns, and identify performance improvement opportunities.    

Data Analytics:

• Identifies data sources internally and externally relevant to required data analyses. 
• Generates hypotheses and analyzes data to test and interpret results.
• Designs and develops data models, leveraging ML and or AI as appropriate, to predict outcomes or future impacts of key decisions. 

Communication with Business and Clinical Partner:

• Communicates findings from exploratory and predictive data analysis broadly to administrative, clinical and business leaders.
• Designs and recommends creative means to display information visually and make the patterns and insights clear and compelling. 
• Identifies improvement opportunities in people, process and technology and collaborates as appropriate in implementation.

Organizational Education and Collaboration:

• Serves as the organizational resident data expert and shares best practices / approaches for statistics, analysis involving ML techniques, data modeling, simulation and advanced mathematics with appropriate audiences in the corporate office and facilities as appropriate.

Experience & Knowledge:

• Requires demonstrated experience in devising and testing analytic methodologies and algorithms, developing, and recommending data visualization techniques, and identifying and integrating new data sources and applications including ML and AI.
• Programming experience using major software such as SAS/Python/R and domain specific languages such as SQL.
• A working knowledge of healthcare and or clinical operations is beneficial.

Skills:

• Proficient in SAS/Python/R or other key programming languages.
• Skilled in domain specific languages such as SQL.

• Must have a passion for discovering solutions hidden in large data sets.
• Ability to work with all levels across the organization.

Education & Training:

• Ph.D. degree in a related field (applied mathematics, statistics, computer science) or a Master's degree with 5-8 years of related experience is required.

Travel Requirements:   Up to 10% US or International travel

This opportunity provides the following:

• Challenging and rewarding work environment
• Growth and development opportunities within UHS and its subsidiaries
• Competitive Compensation
• Excellent Medical, Dental, Vision and Prescription Drug Plan
• 401k plan with company match
• Generous Paid Time Off

UHS is a registered trademark of UHS of Delaware, Inc., the management company for Universal Health Services, Inc. and a wholly-owned subsidiary of Universal Health Services, Inc. Universal Health Services, Inc. is a holding company and operates through its subsidiaries including its management company, UHS of Delaware, Inc. All healthcare and management operations are conducted by subsidiaries of Universal Health Services, Inc. To the extent any reference to "UHS or UHS facilities" on this website including any statements, articles or other publications contained herein relates to our healthcare or management operations it is referring to Universal Health Services' subsidiaries including UHS of Delaware. Further, the terms "we," "us," "our" or "the company" in such context similarly refer to the operations of Universal Health Services' subsidiaries including UHS of Delaware. Any employment referenced in this website is not with Universal Health Services, Inc. but solely with one of its subsidiaries including but not limited to UHS of Delaware, Inc.

UHS is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at UHS via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of UHS. No fee will be paid in the event the candidate is hired by UHS as a result of the referral or through other means.

EEO Statement

All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws.

We believe that diversity and inclusion among our teammates is critical to our success.

Notice

At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries.  We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at: https://uhs.alertline.com or 1-800-852-3449.

Experience & Knowledge:

• Requires demonstrated experience in devising and testing analytic methodologies and algorithms, developing, and recommending data visualization techniques, and identifying and integrating new data sources and applications including ML and AI.
• Programming experience using major software such as SAS/Python/R and domain specific languages such as SQL.
• A working knowledge of healthcare and or clinical operations is beneficial.

Skills:

• Proficient in SAS/Python/R or other key programming languages.
• Skilled in domain specific languages such as SQL.

• Must have a passion for discovering solutions hidden in large data sets.
• Ability to work with all levels across the organization.

Education & Training:

• Ph.D. degree in a related field (applied mathematics, statistics, computer science) or a Master's degree with 5-8 years of related experience is required.

Travel Requirements:   Up to 10% US or International travel

This opportunity provides the following:

• Challenging and rewarding work environment
• Growth and development opportunities within UHS and its subsidiaries
• Competitive Compensation
• Excellent Medical, Dental, Vision and Prescription Drug Plan
• 401k plan with company match
• Generous Paid Time Off

UHS is a registered trademark of UHS of Delaware, Inc., the management company for Universal Health Services, Inc. and a wholly-owned subsidiary of Universal Health Services, Inc. Universal Health Services, Inc. is a holding company and operates through its subsidiaries including its management company, UHS of Delaware, Inc. All healthcare and management operations are conducted by subsidiaries of Universal Health Services, Inc. To the extent any reference to "UHS or UHS facilities" on this website including any statements, articles or other publications contained herein relates to our healthcare or management operations it is referring to Universal Health Services' subsidiaries including UHS of Delaware. Further, the terms "we," "us," "our" or "the company" in such context similarly refer to the operations of Universal Health Services' subsidiaries including UHS of Delaware. Any employment referenced in this website is not with Universal Health Services, Inc. but solely with one of its subsidiaries including but not limited to UHS of Delaware, Inc.

UHS is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at UHS via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of UHS. No fee will be paid in the event the candidate is hired by UHS as a result of the referral or through other means.

EEO Statement

All UHS subsidiaries are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates. UHS subsidiaries are equal opportunity employers and as such, openly support and fully commit to recruitment, selection, placement, promotion and compensation of individuals without regard to race, color, religion, age, sex (including pregnancy, gender identity, and sexual orientation), genetic information, national origin, disability status, protected veteran status or any other characteristic protected by federal, state or local laws.

We believe that diversity and inclusion among our teammates is critical to our success.

Notice

At UHS and all our subsidiaries, our Human Resources departments and recruiters are here to help prospective candidates by matching skillset and experience with the best possible career path at UHS and our subsidiaries.  We take pride in creating a highly efficient and best in class candidate experience. During the recruitment process, no recruiter or employee will request financial or personal information (Social Security Number, credit card or bank information, etc.) from you via email. The recruiters will not email you from a public webmail client like Hotmail, Gmail, Yahoo Mail, etc. If you are suspicious of a job posting or job-related email mentioning UHS or its subsidiaries, let us know by contacting us at: https://uhs.alertline.com or 1-800-852-3449.