Description :

Key Responsibilities :

- Design and develop healthcare-focused data science and ML solutions using Python (preferred) or Go.

- Build intelligent agents and models using data science libraries such as pandas, NumPy, scikit-learn, and related ML frameworks.

Apply machine learning and NLP techniques to healthcare datasets, including :

- Clinical time-series data

- Natural language processing of unstructured clinical text (clinical notes, reports, discharge summaries)

- Work with diverse healthcare data sources including:

- EHR systems

- Claims and billing data

- Laboratory results

- Medical imaging metadata (as applicable)

- Collaborate with product, engineering, and clinical stakeholders to translate business and clinical needs into data-driven solutions.

- Develop, test, and validate models to ensure accuracy, reliability, and clinical relevance.

- Deploy models into production using MLOps pipelines, ensuring scalability, monitoring, and continuous improvement.

- Monitor model performance, drift, and data quality post-deployment.

- Document models, assumptions, and methodologies to support compliance and knowledge sharing.

Required Skills & Qualifications :

- Strong programming expertise in Python (preferred) or Go.

- Hands-on experience with data science and ML libraries (pandas, NumPy, scikit-learn, etc.).

- Solid understanding of machine learning fundamentals, including supervised/unsupervised learning.

- Experience applying NLP techniques to real-world datasets.

- Experience working with time-series data and complex data pipelines.

- Familiarity with model deployment and production ML systems.

- Strong problem-solving and analytical skills.

Preferred Qualifications :

- Healthcare domain experience, including understanding of:

- Clinical workflows

- Medical terminology

- Healthcare data standards (FHIR, HL7, ICD, CPT)

- Experience with EHR, claims, lab, or imaging data.

- Exposure to deep learning frameworks (TensorFlow, PyTorch).

- Experience with MLOps tools (MLflow, Kubeflow, Airflow, SageMaker, Vertex AI, etc.).

- Knowledge of data privacy, security, and compliance (HIPAA).