Note: The job is a remote job and is open to candidates in USA. Dandelion is a health tech company focused on building the world's largest AI training and clinical development platform. They are seeking a Clinical Informatics Researcher who will be responsible for interpreting and analyzing clinical data to develop data models and advise on clinical research projects that characterize disease progression and patient care trajectories.

Responsibilities

• 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

Skills

• 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

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

Company Overview