Senior Healthcare Data Scientist

About the role

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Road Home Research Admin

Work Type: Full Time (Total FTE between 0.9 and 1.0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 4:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $45.59 - $66.16 per hour

Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary

The Advanced Data Analyst supports clinical, contracting, network, and business intelligence. The Data Analyst will support key clinical processes, contracting initiatives, network analyses, and the development and maintenance of reports and other business intelligence projects. The successful candidate must demonstrate critical analysis skills and an understanding of healthcare data and processes, and have the ability to communicate such information to a wide variety of audiences in visual, oral, and written formats. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Required Job Qualifications

Bachelor's Degree

Minimum of 5 years relevant work experience

Strong analytical and problem-solving skills

Demonstrated experience in data querying, profiling, analysis, and reporting; proficiency in SQL, including the ability to design and write complex queries.

Experience in creation and maintenance of dashboards intended to summarize data for multiple audiences. Strong preference for competence in Power BI or similar platforms for data visualization

Excellent written and verbal communication skills required. Must have demonstrated ability to present complex information to a variety of audiences in an interesting and compelling manner.

Strong customer service orientation

Strong organizational skills

Ability to seamlessly handle multiple complex projects in a timely fashion

Skilled in advanced analytics, data science, and statistical algorithms.

Experience in SAS, R, or other statistical software

Experience with any of the following is preferred: electronic medical records data, payer claims data, Health Information Exchanges, clinical performance and outcomes data, meaningful use, University Healthsystem Consortium (UHC), Premier, HEDIS, PQRS, Leapfrog, ICD-10, CPT and other code sets.

Experience creating analytics to identify healthcare quality and efficiency opportunities

Experience reporting key performance metrics for physicians and hospitals

Knowledge of statistics and the ability to communicate with statisticians

Strong analytical and problem-solving skills

Experience auditing and querying large volumes of data using SQL

Exemplary written and verbal communications skills

Proficiency with data visualization software (Power BI, etc.) strongly preferred.

Proficiency with statistical software (SAS, R, etc.) strongly preferred

Advanced used of Microsoft Office suite, particularly MS Excel and PowerPoint

Ability to adapt to a rapidly changing environment

Able to prioritize workload

Responsibilities

Identify, analyze, and interpret trends and patterns in complex data sets for specified projects. Develop graphs and figures, reports, and presentations to summarize key results and create easy-to-understand visualizations of complex information. Create dashboards with some end-user manipulation and data-drilling functionalities. Prepare supporting documentation and presentation materials to accompany the release of reports and dashboards.

Provide data and analytic support for Clinical, Contracting, and executive teams.

Work with IT teams to interpret requirements, aid in documentation, and develop and validate reports to support internal teams. Assist in documentation and creation of web reporting

Create and maintain routine and ad hoc reporting as required to support organization initiatives. These projects may include data from payer claims, EMR, HIE, and other data sources (including external and public databases) and will include internal and provider-member focused reporting

Assist IT team with data validation in onboarding new practice data and other projects

Assist with data mapping and profiling

Train end users in the interpretation of dashboards, tools, and results; ensure that data is understood by end users and that documentation is accessible to the appropriate audiences.

Consult with senior leadership to develop, implement, evaluate, write, conduct, and edit plans for complex analyses of healthcare data.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.