Data Scientist – NLP & Real World Evidence (RWE) - Remote

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Requirements:

• Master’s degree in Data Science, Computer Science, Biomedical Informatics, or a related field.
• Proficiency in Python and SQL.
• Experience developing ML models, particularly with NLP techniques and libraries (spaCy, Scikit-learn, etc.).
• Experience with Azure OpenAI or other large language models.
• Familiarity with EMR systems, healthcare data standards (e.g. ICD-10, SNOMED).
• Exposure to cloud environments and big data tools (e.g., Snowflake, Azure, Spark).
• Demonstrated ability to work with clinical text and health data (e.g., EMRs).

Responsibilities:

• Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical text.
• Leverage Azure OpenAI and other LLM frameworks to enhance clinical data structuring and semantic understanding.
• Partner closely with clinical subject matter experts to validate models, ensuring high precision and accuracy in clinical contexts.
• Iterate on model development using feedback from real-world applications and clinician review.
• Collaborate with Operations teams to design, implement, and optimize an end-to-end data science pipeline from R&D to production.
• Ensure data integrity, reproducibility, and compliance with healthcare regulations and best practices.
• Work with clients and stakeholders to identify key business problems and expected outcomes.
• Explore and assess internal and external data sources to extract relevant features and patterns.
• Communicate findings, methodologies, and actionable insights to both technical and non-technical audiences.