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

Veradigm®; Chicago (IL); Remote; USD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Data Scientist specializing in NLP and Real World Evidence. This remote role involves extracting insights from clinical data using advanced techniques in Machine Learning and NLP. The ideal candidate will collaborate with clinical teams to ensure high accuracy and will be responsible for developing production-ready models. Join a team dedicated to transforming healthcare through data-driven solutions.

Qualifications

• Experience with LLMs, preferably Azure OpenAI.
• Strong Python ML/NLP skills.

Responsibilities

• Design, develop, and deploy NLP and ML models using Python.
• Partner with clinical experts to validate models.
• Work with operations to optimize data science pipelines.

Skills

Python

NLP

Machine Learning

SQL

Education

Masters degree in Data Science

Masters degree in Computer Science

Masters degree in Biomedical Informatics

Tools

Azure OpenAI

Job description

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

Join to apply for the Data Scientist NLP & Real World Evidence (RWE) - Remote role at Veradigm.

About Veradigm

Welcome to Veradigm, where our mission is transforming health insightfully. Join our team to help solve healthcare challenges faced by biopharma, health plans, providers, and patients. We focus on harnessing research, analytics, and AI to develop scalable, data-driven solutions that add value for all stakeholders, aiming to transform healthcare and enable smarter care for millions.

Job Summary

We are seeking a Data Scientist to join our Life Sciences Data Science team, focusing on extracting insights from unstructured and semi-structured clinical data using NLP and Machine Learning. This role involves transforming raw clinical text into NLP-enriched data to support RWE studies and the VNEHR dataset. The ideal candidate will have experience working with LLMs (preferably Azure OpenAI), strong Python ML/NLP skills, SQL, and the ability to collaborate cross-functionally with clinicians, product, and operations teams to deliver high-accuracy, production-ready solutions.

Key Responsibilities

1. NLP & Machine Learning Development:
   • Design, develop, and deploy NLP and ML models using Python to extract insights from unstructured and semi-structured clinical texts.
   • Leverage Azure OpenAI and other LLM frameworks to enhance data structuring and semantic understanding.
2. Clinical Collaboration & Validation:
   • Partner with clinical experts to validate models, ensuring high precision in clinical contexts.
   • Iterate models based on real-world feedback and clinician review.
3. Pipeline & Productionization:
   • Work with operations to design, implement, and optimize end-to-end data science pipelines from R&D to production.
   • Maintain data integrity, reproducibility, and compliance with healthcare regulations.
4. Data Analysis & Problem Solving:
   • Identify key business problems and outcomes with stakeholders.
   • Explore internal and external data sources to extract relevant features and patterns.
   • Communicate findings and insights effectively to both technical and non-technical audiences.

Qualifications

Required: Masters degree in Data Science, Computer Science, Biomedical Informatics, or a related field.

Equal employment opportunity, including veterans and individuals with disabilities.