Dandelion Health AI develops a clinical data and artificial intelligence platform that enables life sciences companies and researchers to analyze real-world patient data and accelerate drug development and clinical research. Backed by Moxxie Ventures.
About the role
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; Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
- 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
- Experience working in or with startups is a plus
More about this role
Dandelion Health was founded in 2020 by experts in health tech , hospital systems , academia , and clinical AI . We are building the world’s largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here .
We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources – with two additional U.S. health systems joining soon.
We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to:
Structured data (e.g., 100% of the EMR, including some claims)
Unstructured text (e.g., clinical notes, radiology reports)
Images (e.g., DICOM,...
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