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Welcome to Veradigm, where our Mission is transforming health, insightfully. Join the Veradigm team and help solve many of todays healthcare challenges being addressed by biopharma, health plans, healthcare providers, health technology partners, and the patients they serve. At Veradigm, our primary focus is on harnessing the power of research, analytics, and artificial intelligence (AI) to develop scalable data-driven solutions that bring significant value to all healthcare stakeholders. Together, we can transform healthcare and enable smarter care for millions of people.

Veradigm Life Science

The Veradigm Network is well-positioned to address the unique needs of Life Sciences customers. By leveraging the Veradigm Network, research data and associated insights become both an output of care delivery, as well as additional knowledge to improve quality of care, a true virtuous cycle.

Our portfolio of solutions provides insights using real-world data directly sourced from the Veradigm Network. These solutions can help Life Sciences customers discover timely, actionable real-world evidence to improve patient experience and outcomes, and demonstrate how their products can benefit appropriate patient populations.

Job Summary

We are seeking a Data Scientist to join our Life Sciences Data Science team focused on extracting and leveraging insights from unstructured and semi-structured clinical data using Natural Language Processing (NLP) and Machine Learning (ML). This role is critical for transforming raw clinical text into NLP-enriched data to support Real World Evidence (RWE) studies and the Veradigm Network EHR (VNEHR) dataset.\ \ The ideal candidate will have experience working with LLMs (preferably Azure OpenAI), a strong foundation in Python-based ML/NLP, SQL, and a demonstrated ability to work cross-functionally with clinicians, product, and operations teams to deliver high-accuracy, production-ready data science solutions.

Key Responsibilities

NLP & Machine Learning Development

• 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.

Clinical Collaboration & Validation

• 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.

Pipeline & Productionization

• 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.

Data Analysis & Problem Solving

• 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:

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

\ \ \ Equal employment opportunity, including veterans and individuals with disabilities.\ \

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