NLP / LLM Data Scientist

Dandelion Health

. Develop NLP, LLM, and other ML-based pipelines to abstract labels from text-based healthcare data and store them in scalable data models .

Posted 9/22/2026full-timeRemote • New York • United StatesJuniorMid-Level💰 $135,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing NLP and ML-based pipelines for healthcare data, ensuring HIPAA compliance and data integrity while effectively communicating findings to both technical and clinical audiences.

Highest-signal resume keywords

NLP Pipeline DevelopmentMachine Learning TechniquesPython and SQL FluencyData Extraction and WranglingHealthcare Data Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningNLPData WranglingData ModelingStatistical AnalysisTechnical WritingProject ManagementMedical OntologyDICOM

Soft Skills

Communication SkillsOrganizational SkillsProblem-Solving

Tools & Technologies

PyTorchTensorFlowHuggingFaceGitAWSEpicCernerAllscripts

Industry Keywords

Healthcare DataElectronic Medical RecordsReal-World EvidenceData IntegrityHIPAA Compliance

Tech Stack

Tools & technologies

AWSPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Develop NLP, LLM, and other ML-based pipelines to abstract labels from text-based healthcare data and store them in scalable data models
Query complex healthcare source systems, including EMRs, semi-structured reports, and free-text clinical notes
Identify key data elements and create and enrich datasets for real-world evidence analyses and AI algorithm training
Own data extraction, wrangling, labeling, and quality-control tasks for analytical datasets
Apply current NLP and generative AI methods to relevant use cases
Design, test, validate, analyze, and merge multimodal data structures from varied source systems
Develop code and documentation for high-quality, HIPAA-compliant data products
Troubleshoot problems and ensure data accuracy, integrity, and validity
Support the technical product team and advance data-related product offerings
Explain abstraction methods, findings, and recommendations to technical and clinical audiences
Report to the Data Science Manager under the Head of Data
Attend occasional in-person company working days, roughly quarterly

Requirements

What you’ll need

Advanced degree in a quantitative field (e.g. Data Science, Biomedical Informatics, Computer Science, Biostatistics), or B.S. with at least 5 years of professional experience
At least 2 years of data science and machine learning experience, including building pipelines to extract and curate unstructured and semi-structured data using advanced machine learning and AI techniques
Fluency in Python and SQL, including ML/NLP libraries such as PyTorch, TensorFlow, and HuggingFace
Familiarity with modern applied LLM techniques on real-world data
Strong technical writing, editing, and communication skills
Excellent organizational skills and ability to manage multiple projects and deadlines
Git and version control
Familiarity with encryption methods
Experience querying EDWs or databases and creating healthcare reports or analytics
Familiarity with electronic medical record data, such as Epic, Cerner, or Allscripts
Medical ontology experience
Experience with DICOM or other imaging modalities
Experience with AWS
Experience publishing work in peer-reviewed journals
Ability to work in the US and authorization to work in the US on a full-time basis are requested in the application form

Benefits

Comp & perks

Offers Equity
Offers Bonus
Remote work and flexible hours
Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more
Professional development days to build your skills
Collegial work environment
Great balance of focus time and easy access to team members for collaboration
Mission-driven company focused on improving patient care