Key Responsibilities:

• Develop scalable Python services to process large healthcare datasets (claims, providers, patients).
• Implement NLP techniques for medical text classification, entity extraction, and coding crosswalks (ICD-10 ↔ CPT ↔ DRG).
• Contribute to payer and provider mastering pipelines, improving data accuracy and interoperability.
• Collaborate with data scientists and clinicians to build features in PurpleLab platforms.
• Ensure solutions are compliant with healthcare data privacy/security requirements (HIPAA, HITRUST).
• Optimize system performance and reliability for cloud deployment (AWS).

Required Qualifications:

• 5+ years of professional Python development experience.
• Hands-on experience with NLP libraries (spaCy, Hugging Face Transformers, NLTK, scikit-learn).
• Familiarity with healthcare vocabularies (ICD-10, CPT, HCPCS, DRG, SNOMED-CT).
• Strong experience with SQL and data warehouses (BigQuery preferred).
• Proven track record working with high-volume data pipelines.
• Experience with APIs and microservices frameworks (FastAPI, Flask, Django).
• Proficiency in Git, CI/CD, and containerization (Docker).

Preferred Qualifications:

• Experience with FHIR and OMOP data models.
• Exposure to ML/AI frameworks (PyTorch, TensorFlow).
• Cloud engineering experience (AWS Lambda, S3, ECS/EKS, Terraform).
• Prior work in healthcare informatics or life sciences analytics.

Soft Skills:

• Excellent communication skills to bridge engineering and clinical teams.
• Strong problem-solving skills and ability to work independently.
• Comfort in a fast-paced, growth-stage company environment.
• Passion for improving healthcare through data-driven solutions.

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field; or equivalent professional experience.

What We Offer:

• Impact-Driven Mission: Directly shape healthcare outcomes through data-driven solutions.
• Startup Culture: Collaborative, dynamic environment with significant growth potential.
• Professional Development:
  o Continuous learning opportunities
  o Exposure to cutting-edge data technologies
  o Career advancement in a scaling company
• Competitive Compensation: Comprehensive benefits package recognizing your expertise.
  
  

A background check is required for this role.