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

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• Allscripts**\
  
  

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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.\

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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.

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Equal employment opportunity, including veterans and individuals with

disabilities.\

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