Data Scientist (Healthcare)

TL;DR

Data Scientist (ML/Healthcare): Designing and implementing predictive, statistical, and machine learning models to support operational and product decisions with an accent on NLP and medical document classification. Focus on building end-to-end ML pipelines on Azure Databricks and ensuring HIPAA compliance for sensitive healthcare data.

Location: Remote (Must be based in the United States)

Company

hirify.global delivers revenue cycle and business solutions for healthcare professionals to help them build healthy, thriving organizations.

What you will do

• Design, develop, and implement predictive, statistical, and ML models for operational and product decisions.
• Extract, clean, and transform structured and unstructured data using Python and SQL.
• Develop and maintain automated ML pipelines and ETL processes on Azure Databricks.
• Utilize NLP techniques to uncover insights from text data and build medical document classification models.
• Collaborate with engineering, product, and clinical teams to define data requirements and integrity.
• Research and prototype new algorithms to enhance product integrity and user experience.

Requirements

• Master's degree in Data Science, Analytics, Information Systems, or a related field.
• 1+ year of experience as a Data Scientist.
• Experience with Azure Databricks, PySpark, scikit-learn, and pandas.
• Proficiency in NLP using Huggingface, NLTK, Sentence BERT, and transformers.
• Experience with XGBoost, neural networks, MLFlow, and Hyperopt.
• Must be authorized to work in the United States (E-Verify used).

Culture & Benefits

• 100% remote-first work environment.
• Camera-first culture: Video participation is required for all virtual meetings.
• Collaborative and open team environment.
• Drug-free workplace with pre-employment testing.