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Community Health Systems

Operates acute care hospitals nationwide

Senior Data Scientist

Applied Machine Learning +1Confirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Data Science, Computer Science, Bioinformatics, or a related field is required.
  • Five to seven years of experience in healthcare data engineering and analytics in a clinical or biomedical research setting is required.
  • At least one year of experience working within a large healthcare system, hospital, or payer environment is required.
  • Strong proficiency with Google Cloud Platform for end-to-end data processing, storage, and algorithm deployment.
  • Advanced proficiency in Python and data science libraries including PyTorch, Keras, Pandas, NumPy, Scikit-learn, and TensorFlow.
  • Practical experience building natural language processing solutions with frameworks such as spaCy, BERT, NLTK, or modern large language models.
  • Expertise with visualization tools such as Tableau, Power BI, and Looker, and programmatic libraries such as Matplotlib, Seaborn, and Plotly, to build interactive executive dashboards and operational tracking tools.
  • Ability to work independently to establish metrics efficiently and solve problems.
  • Ability to present technical concepts to executive leadership.

Responsibilities

  • Independently perform advanced analyses of clinical and operational datasets and translate complex findings into actionable insights for senior clinical and executive leadership.
  • Assess and select appropriate data fit to develop, test, and deploy machine learning algorithms that predict clinical and operational outcomes across multiple service areas.
  • Use natural language processing techniques and frameworks, including BERT, spaCy, NLTK, and large language models, to develop text-based solutions that optimize documentation-focused workflows.
  • Partner with healthcare professionals, domain experts, and IT and data engineering teams to source raw data, understand operational needs, and build production-style data pipelines and visualizations.
  • Use Google Cloud Platform for scalable data storage, processing, deployment, and process automation.
  • Design and execute experiments, interpret results, and present metrics to technical and non-technical stakeholders.
  • Document departmental key performance indicators.
  • Maintain regular, reliable attendance and adhere to organizational policies and standard operating procedures.
  • Perform other duties as assigned.
  • Travel on-site two to four times per year for executive leadership presentations.

Desired Qualifications

  • A master's degree is preferred.

About the Company

Community Health Systems

Operates acute care hospitals nationwide

Community Health Systems operates general acute care hospitals across 14 states, owning or leasing 71 facilities to deliver healthcare outside urban centers. Its main business is running hospital networks and providing medical and surgical services to patients, funded by payments from patients, insurers, and government programs like Medicare and Medicaid. The company also offers management services to its affiliates through a professional services corporation. Its workflow centers on developing and operating healthcare delivery systems, supporting a wide range of needs from emergency care to specialized treatments. The goal is to help people get well and live healthier by providing accessible non-urban and suburban hospital-based care while navigating a regulated, competitive US healthcare market.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Franklin, TN
Founded
1985

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