Clinical Informatics Researcher

Dandelion Health • New York, NY

5d • Remote

About The Position

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. 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.

Requirements

• 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 ABVI), 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).
• 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

Nice To Haves

• Experience with Epic and/or Cerner systems a huge plus
• Experience working with startups is a plus

Responsibilities

• 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.
• Guide 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 and 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, 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.
• Guide 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.
• Support 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.

Benefits

• Remote work and flexible hours.
• Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level