Case Management Clinical Data Performance Engineer

Community Health Systems is one of the nation’s leading healthcare providers. Developing and operating healthcare delivery systems in 43 distinct markets across 15 states, CHS is committed to helping people get well and live healthier. CHS operates 76 acute-care hospitals and more than 1,000 other sites of care, including physician practices, urgent care centers, freestanding emergency departments, occupational medicine clinics, imaging centers, cancer centers and ambulatory surgery centers.

Summary:

The CHS Care Management team’s vision is to leverage data to provide evidence based, safe, quality healthcare to the communities we serve.  The CM team is looking to add a Clinical Data Engineer, who will be responsible for implementing and maintaining the data processes and pipelines that underpin the functions of the CM team. 

This role has responsibility for the development, ongoing quality assessment, deployment and maintenance of architectures for the 2 applied CM/UR solutions in use at CHS – including bringing these within the CHS Google Cloud environment, manipulating the data within, and enhancing these with additional clinical, operational and financial data to create high value solutions for the CM team. 

This role will also be involved in partnering with business owners to create project-specific data sets and visualizations, automating existing manual data tasks, and troubleshooting data anomalies and data quality issues within the CM data ecosystems. 

The position is remote – but travel to Franklin, TN 4 to 8 times per year is required for in person meetings with CM leadership and associated team members.

Required Qualifications

• Bachelor’s degree in technical field, including: Healthcare Analytics, Business Analytics, Computer Science, Engineering, Data Science, or related field from an accredited university or college.
• One year of experience using Cloud Based Platforms (e.g. Azure, AWS, GCP) to complete advanced data processing, including implementing data pipelines for structured and unstructured data
• One year of applied experience using Python & SQL to develop, test and deploy data resources for business owners (Data Science, Business Intelligence, Analytics)

Desired Qualifications

• Master’s Degree
• Applied experience using big data, statistics and/or data science principles and processes.
• Experience working with large healthcare data (Clinical, Claims, Survey).

Physical Demands:

In order to successfully perform this job, with or without a reasonable accommodation, the following are outlined below:  

• The Employee is required to read, review, prepare and analyze written data and figures, using a PC or similar, and should possess visual acuity.
• The Employee may be required to occasionally climb, push, stand, walk, reach, grasp, kneel, stoop, and/or perform repetitive motions.
• The Employee is not substantially exposed to adverse environmental conditions and; therefore, job functions are typically performed under conditions such as those found within general office or administrative work.