
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.
🔥 43 minutes ago
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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.
• Own and be responsible for interpreting and analyzing data from hospital systems and clinical workflows • Develop meaningful Dandelion data models that accurately represent a patient’s healthcare journey • Advise on use of data for meaningful clinical research projects characterizing disease progression, patient phenotyping and care trajectories • Bridge clinical practice and informatics knowledge by guiding the representation of clinical concepts, workflows, and outcomes within scalable data models used for regulatory-grade evidence generation • Utilize data analysis tools to explore clinical data within the Dandelion and health system environments • Query complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data tables and their contents • Define and govern clinical vocabularies, ontologies, and phenotypes ensuring that client datasets accurately reflect real world care delivery, clinical decision making, and patient trajectories • Develop Dandelion data models by reconciling different healthcare system’s datasets and mapping data fields to standardized clinical ontologies • Advise on development of clinical research studies using Dandelion data models including study design and protocol development • Partner closely with data scientists to translate research questions into operationalized datasets and key variables • Validate clinical accuracy, interpretability, and appropriate use of data while proactively identifying risks related to data quality, misrepresentation, or misuse • Guide clinical informatics decisions on choice of clinical vocabularies and ontologies (e.g., ICD, SNOMED, LOINC, CPT) • Support all phases of SQL/analytical programming, data management, quality control, and reporting on informatics approach • Ensure accuracy, data integrity, and validity of data and analysis in all work
• Healthcare provider (MD, DO, or NP with training in a broad clinical discipline) required; or M.S. or PhD degree in a relevant clinical field • Clinical informatics certification (AMIA or ABMS), completion of a clinical informatics fellowship, or at least two years direct clinical informatics experience • At least two years of clinical practice experience, supporting a strong understanding of real world clinical workflows and how clinical care is represented in structured, unstructured, and multimodal data • At least one year of experience in clinical research and working on retrospective studies, including designing study objectives, eligibility criteria and study endpoints, ensuring alignment with scientific standards and clinical research best practices • At least one year of experience querying EHR data (fluency in SQL required; experience or familiarity with tools such as dbt and Python strongly desirable). Experience with Epic and/or Cerner systems a huge plus • Strong expertise in clinical terminologies, ontologies, and data standards, including LOINC, SNOMED, CPT, HCPCS, RxNorm, NDC, and OMOP (or equivalent common data models) • Strong technical writing and communication skills along with a collaborative mindset and willingness to support cross-functional teams • Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines • Experience working with startups is a plus
• 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
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