NLP / LLM Data Scientist

Summary

Dandelion Health is building an AI training and clinical development platform that provides high-quality, de-identified healthcare data for AI development. The NLP / LLM Data Scientist will build machine learning pipelines to abstract information from multimodal healthcare data, curate AI-ready datasets, support customer AI activities, and develop analyses that improve data products.

Responsibilities

• Develop Natural Language Processing (NLP), Large Language Model (LLM) and other ML-based pipelines to abstract relevant labels from text-based healthcare data and store them in scalable data models
• Query complex source systems in a range of health data sources (e.g., EMRs, semi-structured reports, free-text clinical provider notes) to identify key data elements and create and enrich high-quality datasets for real-world evidence analyses and training AI algorithms
• Own data extraction, wrangling, labeling and QC tasks to create analytical datasets that include abstracted clinical concepts and provide a range of solutions to support customers’ AI activities
• Stay current on the latest in applied NLP and generative AI methods and proactively leverage these technologies where applicable
• Support the design, testing, validation, analysis, and merging of multimodal data structures from a wide variety of source systems
• Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to customers
• Identify and resolve problems using your knowledge, background, and troubleshooting skills
• Ensure accuracy, data integrity, and validity of data and analysis in all work
• Provide support for technical product team to advance development of the suite of data-related product offerings
• Summarize the complexity of abstraction methods, findings and recommendations into clear explanations and presentations for internal and external audiences that have a varying range of technical and clinical experience

Skills

• Advanced degree in a quantitative field (ex. 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 by applying advanced machine learning and AI techniques. Prior experience with clinical and healthcare data is a strong bonus
• Fluency in Python and SQL, including fluency with ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.)
• Familiarity with using modern applied LLM techniques on real-world data
• Strong technical writing, editing, and communication skills, along with a collaborative mindset
• Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines
• There is occasional travel for in-person company working days on roughly a quarterly basis
• Experience working in or with startups is a plus
• Git and version control
• Familiarity with encryption methods
• Prior experience querying EDWs or databases and creating reports or analytics for healthcare data
• Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts
• Any medical ontology experience
• Any experience working with DICOM or other imaging modalities
• Experience with AWS
• Experience with publishing work in peer-reviewed journals

Qualifications

Must Haves

• Advanced degree in a quantitative field (ex. 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 by applying advanced machine learning and AI techniques. Prior experience with clinical and healthcare data is a strong bonus
• Fluency in Python and SQL, including fluency with ML/NLP libraries (PyTorch, Tensorflow, HuggingFace, etc.)
• Familiarity with using modern applied LLM techniques on real-world data
• Strong technical writing, editing, and communication skills, along with a collaborative mindset
• Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines
• There is occasional travel for in-person company working days on roughly a quarterly basis

Nice to Haves

• Experience working in or with startups is a plus
• Git and version control
• Familiarity with encryption methods
• Prior experience querying EDWs or databases and creating reports or analytics for healthcare data
• Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts
• Any medical ontology experience
• Any experience working with DICOM or other imaging modalities
• Experience with AWS
• Experience with publishing work in peer-reviewed journals

Benefits

• Offers Equity
• Offers Bonus
• Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum
• Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details
• Professional development days to build your skills
• Collegial work environment
• Academic bent towards inquiry and problem solving but start-up speed and flexibility
• Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively
• Dandelion is a mission-driven company that is focused on improving patient care