Job Description

Community Health Systems is one of the nation's leading healthcare providers. Developing and operating healthcare delivery systems in 48 distinct markets across 16 states, CHS is committed to helping people get well and live healthier. CHS affiliates 81 operate 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 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 CDS team. This role has responsibility for the development, ongoing quality assessment, deployment and maintenance of architectures for large-scale clinical resources - including those internal and external to CHS - within a GCP environment. This role will also be involved in partnering with clinical 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 clinical data ecosystem. As the clinical data environment within CHS matures, there is potential to expand scope into assisting with development and deployment of scalable machine learning data pipelines to enhance the performance of the clinical and operational teams across the enterprise. The position is remote - but some travel to Franklin, TN is required for in person meetings with the CDS and associated team members.

Essential Duties and Responsibilities

* Build and maintain the data pipelines that underpin the enterprise-wide clinical intelligence, analytics, and data science strategies for all of CHS.

* Develop and deploy monitoring and assessment techniques to ensure robustness and quality of raw and aggregated data.

* Gather requirements from key stakeholders to design, document and build data models for consumption by clinical and business owners.

* Map out and maintain the clinical data framework in a logical and easily consumable manner, including multitude internal and external data inputs and types.

* Partner with clinical and operational leaders to create data stores, analyses, and automated data processes that focus on improving care delivery across the enterprise.

Qualifications

Required Education:

* Bachelor's degree in technical field, including: Information Systems, Computer Science, Engineering, Data Science, or related field from an accredited university or college

Preferred Education: Master's degree in relevant field

* Required Experience: 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)

* Preferred Experience: Applied enterprise data warehouse experience, including developing and deploying data frameworks and pipelines within a cloud environment, preferably GCP

* ETL development experience

* Applied experience using big data, statistics and/or data science principles and processes.

* Working knowledge of large healthcare data sets and structure (Clinical, Claims, Survey).

Required License/Registration/Certification:

* Authorization to work and remain in the United States, without need for sponsorship.

Preferred License/Registration/Certification: GCP Professional Cloud Data Engineer Certification

Computer Skills Required:

* SQL

* Python

* Cloud Data Warehouse (Redshift, BigQuery, Azure, Snowflake)

Physical Demands:

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

1. The Employee is required to read, review, prepare and analyze written data and figures, using a PC or similar, and should possess visual acuity.

2. The Employee may be required to occasionally climb, push, stand, walk, reach, grasp, kneel, stoop, and/or perform repetitive motions.

3. 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.