Academic Healthcare Data Scientist

The Department of Pediatrics has an exciting opportunity for an Academic Healthcare Data Scientist to contribute to the improvement of children's health through applying their exceptional organizational talents in support of pediatric research, education, and clinical care. This role functions at the heart of the department, working with faculty and staff as well as colleagues from across the Medical School and partner organizations. This position will be a part of an interdisciplinary team, leveraging data-driven insights to optimize healthcare delivery and improve academic operations.

We are seeking a highly motivated Data Scientist to join our academic healthcare team. This individual will apply advanced data analytics, machine learning, and statistical modeling techniques to analyze complex healthcare datasets. The ideal candidate will collaborate with clinicians, researchers, and administrators to develop data-driven solutions that enhance patient care, operational efficiency, and medical research.

While this in-person position is located at the University of Minnesota Masonic Children's Hospital on the West Bank, it also requires travel throughout the University of Minnesota - Twin Cities campus. Note that required qualifications must be reflected in application materials.

100% - Academic Healthcare Data Scientist

• Design and implement data-driven models to support clinical decision-making, and academic operational improvements.
• Analyze large-scale datasets, including clinical and academic financial and operational datasets, and other biomedical information.
• Develop predictive models, machine learning algorithms, and statistical analyses to identify trends and improve business performance.
• Collaborate with physicians, administrators, and other stakeholders to translate data insights into actionable strategies.
• Ensure data integrity, security, and compliance with HIPAA and other regulatory standards.
• Develop dashboards and visualization tools to communicate findings effectively to diverse audiences.
• Stay current with emerging trends in data science, artificial intelligence, and healthcare analytics.
• Assist with training and implementation of various tools, such as Power BI dashboards to Division and service line leadership.

All required qualifications must be documented on application materials

Required qualifications:

• BA/BS degree plus at least four years of relevant experience, or a combination of education and relevant work experience to equal at least eight years, applies knowledge and skill to a recurring task or activity with emphasis typically on precision and timeliness of execution.
• Ability to interrogate data, perform analyses, interpret data, and present to healthcare and academic audiences.
• Knowledge of open source data science and statistics packages such as Python, R, SQL, etc.
• Familiarity with tools such as Tableau, Smartsheet, or Power BI.
• Experience establishing and maintaining key relationships with internal (peers, business partners and leadership) and external (business community, clients and vendors) within a matrix organization to ensure quality standards for service.
• Experience analyzing and reporting data in order to identify issues, trends, or exceptions to drive improvement of results and find solutions.
• Must be fluent in English. Excellent verbal and written communication skills. Demonstrates advanced editing and proofreading skills.
• Able to navigate both PCs and Mac products as well as understand, navigate, and troubleshoot various software and hardware.
• High attention to detail with demonstrated organization skills and focus on quality, accuracy and completeness of work.
• Excellent problem-solving skills and ability to work in a collaborative, multidisciplinary environment.
• Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities.
• This role is highly active and involves frequent movement across campus to access various spaces. The ideal candidate must have the ability to walk, stand, and move between locations for extended periods. This includes the capacity to carry light equipment or materials when necessary.

Preferred qualifications:

• Graduate degree in a quantitative, computational or technical discipline.
• Demonstrated related experience working in a clinical or academic medicine setting.
• Experience working with healthcare data and other operational datasets.
• Experience with machine learning, statistical modeling, and data visualization.

Pay Range: $43.00 - $63.00/hour; depending on education/qualifications/experience

Time Appointment: 50%

Position Type: Civil-Service & Non-Faculty Labor Represented Staff

Please visit the Office of Human Resources website for more information regarding benefit eligibility.

The University offers a comprehensive benefits package that includes:

• Competitive wages, paid holidays, and generous time off
• Continuous learning opportunities through professional training
• Low-cost medical, dental, and pharmacy plans
• Healthcare and dependent care flexible spending accounts
• University HSA contributions
• Disability and employer-paid life insurance
• Employee wellbeing program
• Excellent retirement plans with employer contribution
• Public Service Loan Forgiveness (PSLF) opportunity
• Financial counseling services
• Employee Assistance Program with eight sessions of counseling at no cost

Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume.

Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).

The University of Minnesota Medical School

Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.
The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students' education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations.

Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud.