NLP / LLM Data Scientist

🕒 September 22

🗽 New York – Remote

🗽 New York – Remote

💵 $135k - $165k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Data Scientist

👻 Ghost score 8%

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Dandelion Health

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2020

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

Healthcare • Artificial Intelligence • SaaS

Dandelion Health is a clinical AI and real‑world data company that accelerates clinical development and commercialization by combining proprietary AI tools with large multimodal patient datasets. Its Precision Medicine Platform and Clinical AI Marketplace link clinical notes, images and waveforms from millions of patient records to deliver regulatory‑grade, longitudinal insights for life sciences and clinical research (examples noted include cardiometabolic and GLP‑1 research and an AHA AI Assessment Lab partnership). The company positions itself as a platform/provider of validated clinical AI models and multimodal RWD to support R&D, regulatory assessment, and commercial evidence generation.

📋 Description

• 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

• 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

• 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

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