Clinical Data Engineer (Remote)

Community Health Systems is one of the nation’s leading healthcare providers. Developing and operating healthcare delivery systems in 40 distinct markets across 15 states, CHS is committed to helping people get well and live healthier. CHS operates 71 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.

The Clinical Data Science (CDS) team’s vision is to leverage data to provide evidence based, safe, quality healthcare to the communities we serve. The CDS 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 Physician Practice Services (PPS) teams as CHS. This role has primary responsibility for the development, deployment and maintenance of pipelines to import PPS resource data systems – including those internal and external to CHS – within a GCP environment. Secondarily, the role may also involve in partnering with business owners to create service line data visualizations, project-specific data sets, reports, automating existing manual data tasks, and troubleshooting data anomalies and quality issues within the clinical data ecosystem. The position is remote – but travel to Franklin, TN 2 to 4 times per year is required for in person meetings with the CDS and PPS leaders and associated team members.

Required Qualifications:

• Bachelor’s degree in technical field, including: Clinical Analytics, Business Analytics, Data Science, Information Systems, Computer Science, Engineering, or related field from an accredited university or college.
• One year of experience using Cloud Based Platforms (e.g. Azure, AWS, GCP, Snowflake) 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 pipelines to import and transform external data sources for use in downstream analytics and machine learning
• Strong communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Authorization to work and remain in the United States, without necessity for sponsorship now, or in the future.

Desired Qualifications:

• GCP Professional Cloud Data Engineer Certification
• Master’s Degree
• Applied experience using cloud based technologies for scalable data processing and analysis.
• 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.