Community Health Systems (CHS) is looking to leverage data science and AI to transform healthcare delivery, enhance patient outcomes, and drive operational efficiency.
Requirements
- Expertise in a broad range of machine learning techniques (including regression, classification, clustering, time series modeling, deep learning, and NLP) and their application to real-world problems.
- Proficiency with advanced analytics using Python and familiarity with libraries such as pandas, numpy, scikit-learn, Keras, and TensorFlow.
- Strong experience with cloud platforms (e.g., AWS, Google Cloud, Azure, Oracle) and the deployment of ML/AI applications in a cloud environment.
- Extensive experience working with large, complex datasets, including clinical and healthcare data, and proficiency in data integration from various sources like relational databases (e.g., BigQuery, Postgres-SQL) and data lakes.
- Familiarity with data governance, model validation, and the ethical implementation of AI to ensure regulatory compliance and patient privacy.
- Experience with data science strategy and influencing executive-level decision-making.
- Prior clinical training is highly preferred.
Responsibilities
- Strategic Leadership: Develop and execute a comprehensive data science and AI strategy that aligns with the organization's mission to provide evidence-based, safe, and quality healthcare.
- Solution Development and Deployment: Oversee the entire lifecycle of data science projects, from ideation and model development to deployment and performance monitoring.
- Innovation and Governance: Champion the adoption of cutting-edge machine learning, deep learning, and NLP techniques to solve complex healthcare problems.
- Business Impact: Drive the creation of value from the organization's data assets by focusing on delivering measurable outcomes and a significant return on investment for all data science initiatives.
- Team Leadership and Development: Build, lead, and mentor a world-class team of data scientists and AI professionals.
- Cross-Functional Collaboration: Partner with executive leadership across quality, safety, finance, operations, nursing, and informatics to translate complex business challenges into data science problems and solutions.
- Application areas such as patient risk prediction, algorithmic process improvement, capacity optimization, demand forecasting, and clinical documentation improvement.
Other
- An advanced degree (Master's or PhD preferred) in a quantitative discipline such as Computer Science, Statistics, Epidemiology, or Bioinformatics is required.
- A minimum of 10 years of experience in data science or a related field, with at least 5 years in a leadership role managing data science teams.
- Excellent communication and interpersonal skills, with the ability to articulate a vision, influence stakeholders, and lead cross-functional teams.
- Experience in a large healthcare system is strongly preferred.
- Proven track record of developing and implementing successful, large-scale data science and AI initiatives that have delivered significant business value.
