Remote Senior Data Scientist, Healthcare AI & Analytics

Summary

Join MedeAnalytics, a leader in healthcare analytics, as we seek an experienced Senior Data Scientist to drive innovation in healthcare analytics using advanced data science techniques.

Requirements

• Advanced Degree (Master’s or Ph.D.) in a quantitative field
• 5+ years of experience in data science, with a focus on healthcare analytics and NLP
• Proficiency in Python, Jupyter Notebooks, and Python libraries like Pandas, Numpy, and Scikit-learn
• Strong background in machine learning, deep learning, LLM applications, and NLP techniques
• Experience with cloud services: AWS, Azure, GCP
• Experience using and implementing RAG systems and AI agents
• Familiarity with healthcare data standards (HL7, FHIR) and regulatory requirements (HIPAA)
• Strong communication skills for presenting complex findings to various stakeholders
• Experience with big data technologies such as Hadoop, Spark, and distributed computing

Responsibilities

• Problem Definition: Collaborate with product teams and clients to translate real-world healthcare issues into well-defined problem statements and data science solutions
• Data Cleaning and Exploration: Select appropriate datasets, process and cleanse data for analysis, and develop data structures to organize, collect, and standardize data
• Feature Engineering: Develop influential features using machine learning and AI techniques to enhance model development
• Model Development: Build and develop ML/AI models to support our expanding portfolio of healthcare-centric solutions, integrating GenAI and LLMs to enhance data models and algorithms with a focus on natural language processing tasks
• Model Deployment: Oversee deployment of GenAI and LLM models, ensuring robust monitoring, maintenance, and updates to enhance model performance
• Model Documentation: Document project development, including problem definitions, data processing, model deployment, and results for auditability
• Communication of Results: Build presentations, dashboards, and reports to communicate analytical insights effectively to various stakeholders
• Mentorship: Serve as a GenAI expert and provide mentorship, peer review, and guidance to other team members

Preferred Qualifications

• Experience with Epic or other major EHR systems and their unstructured data
• Certifications in AWS, Azure, or GCP cloud technologies
• Published research in healthcare data science, GenAI, LLMs, or AI applications
• Knowledge of medical ontologies (SNOMED CT, ICD-10, RxNorm)
• Experience in multi-cloud environments and building cloud-agnostic solutions