Role: Data Science- AI Developer

Location: Remote

Contract: Long Term

Job Responsibilities: -

• Design, develop, and deploy machine learning and AI models to support healthcare use cases such as risk prediction, care management, disease progression, and utilization forecasting.

• Perform data exploration, wrangling, and advanced statistical analysis using structured and unstructured healthcare data (e.g., claims, EMR, SDoH, labs).

• Collaborate with data engineers and MLOps teams to operationalize models in a scalable and maintainable environment.

• Partner with clinical and business stakeholders to understand needs and translate them into technical solutions.

• Evaluate model performance using appropriate metrics and ensure model fairness, transparency, and regulatory compliance.

• Contribute to the design and enhancement of AI pipelines and reusable components.

• Develop dashboards and data visualizations to communicate results and support decision-making.

• Stay current on the latest AI/ML technologies, healthcare trends, and research, and apply them to solve emerging challenges

  Mandatory skills

• 5+ years of hands-on experience in data science or AI development, preferably in a healthcare setting.

• Strong knowledge of Python, SQL, and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, XGBoost).

• Experience with cloud platforms (e.g., Azure) and tools like Databricks.

• Understanding of healthcare data types and standards (e.g., ICD, CPT, HL7, FHIR).

• Experience working with large datasets and distributed computing frameworks (e.g., Spark).

• Excellent communication and collaboration skills with both technical and non-technical stakeholders.

Preferred skills

• Experience in predictive modeling for TCOC, quality improvement, or care management.

• Familiarity with feature store, model monitoring, and MLOps best practices.

• Background in explainable AI (XAI), natural language processing (NLP), or deep learning in healthcare.

• Knowledge of HIPAA and data privacy/security considerations in healthcare AI.