Dandelion Health Inc
Provides de-identified patient data for clinical AI development.
Company facts
- Founded
- 2020
- Employees
- 27
- Headquarters
- United States
- Type
- Private
- Funding
- Seed · $15.9M · 2023
Open positions
Manager, Network Strategy & Operations
Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we…
Director of Business Development - Clinical AI
Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we…
Research Consultant Data Scientist
A remote healthcare data scientist who partners with clients to design studies, curate multimodal clinical/EHR datasets (EMR, imaging, waveforms), and deliver descriptive, predictive, and causal analyses. Core stack is Python and SQL, with healthcare data standards like FHIR, ICD, SNOMED-CT, and DICOM on a clinical AI data platform.
NLP / LLM Data Scientist
Dandelion Health is hiring an NLP/LLM Data Scientist to build ML and LLM pipelines that abstract clinical concepts from unstructured and structured healthcare data (EMR, clinical notes, imaging) and create AI-ready datasets for clients. Core stack is Python, SQL, and ML/NLP libraries like PyTorch, TensorFlow, and HuggingFace.
Staff Product Manager - Life Sciences
Leads product strategy for a life sciences AI data platform, defining scalable data products for clinical AI and pharma use cases while collaborating with engineering and data science teams.
Analytics Engineer
Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we…
Strategic Partnerships Manager - Life Sciences
Our Team Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we…