Data Scientist – NLP & RWE, Mid-Level (Remote)

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Job Summary:

Veradigm is a company focused on transforming healthcare through research, analytics, and artificial intelligence. They are seeking a Data Scientist to work on extracting insights from clinical data using Natural Language Processing and Machine Learning, which is essential for supporting Real World Evidence studies.

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.

Qualifications:

Required:

• 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.).

Preferred:

• 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).

Company:

Veradigm is an integrated data systems and services company that combines data-driven clinical insights with actionable tools to help healthcare stakeholders improve the quality, efficiency, and value of healthcare delivery—these stakeholders include biopharma, health plans, healthcare providers, network partners, and most importantly, the patients they serve. Founded in 1986, the company is headquartered in Chicago, Illinois, USA, with a team of 1001-5000 employees. The company is currently Public Company.