Clinical Informatics Researcher

Our Team 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. Our Data 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, pathology) Video Waveforms Continuous streaming monitoring data Your Role You are a technically strong, clinically trained individual with a health informatics and research background who knows your way around clinical and health record data. Your primary responsibility is to own and be responsible for interpreting and analyzing data from hospital systems and clinical workflows, in order to (1) develop meaningful Dandelion data models that accurately represent a patient’s healthcare journey and (2) advise on use of these data for meaningful clinical research projects characterizing disease progression, patient phenotyping and care trajectories. This role bridges 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. You are not afraid to dig into massive new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions. Your day-to-day priorities will include utilizing data analysis tools to explore clinical data within the Dandelion and health system environments. This will include the following: Querying 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. Defining and governing clinical vocabularies, ontologies, and phenotypes and ensuring that client datasets accurately reflect real world care delivery, clinical decision making, and patient trajectories. Developing Dandelion data models by reconciling different healthcare system’s datasets and mapping data fields to standardized clinical ontologies, to enable harmonization across disparate health systems and ensure data elements reflect clinical concepts. Advise on development of clinical research studies using Dandelion data models, including study design, protocol development, dataset definition, analysis, and reporting. Partner closely with data scientists to translate research questions and potential studies into operationalized datasets and key variables, leveraging your clinical and data knowledge. Validate clinical accuracy, interpretability, and appropriate use of data while proactively identifying risks related to data quality, misrepresentation, or misuse. Guiding clinical informatics decisions on choice of clinical vocabularies and ontologies (e.g., ICD, SNOMED, LOINC, CPT) and concept harmonization and terminology mapping strategies based on data use cases. Supporting all phases of SQL/analytical programming, data management, quality control, and reporting on our informatics approach. Ensure accuracy, data integrity, and validity of data and analysis in all work. Qualifications Healthcare provider (MD, DO, or NP with training in a broad clinical discipline) preferred; 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 Nature of our work Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it! If this looks like a partial fit, we would love to share more about the work we do for you to understand if it would be a good fit for you. There is occasional travel for in-person company working days on roughly a quarterly basis. Team Benefits 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 #J-18808-Ljbffr Dandelion Health AI