Analytics Engineer

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🕒 July 28

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Dandelion Health

WebsiteLinkedInAll Job Openings

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.

📋 Description

• Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data elements in order to create high-quality datasets to support training AI algorithms and conducting in-depth analyses of patient journeys • Developing and maintaining data transformation pipelines using dbt and Snowflake, ensuring data quality, lineage, and transparency. • Harmonizing multimodal data from multiple health systems into a unified ontological layer ready for use by data scientists and AI developers, with input from clinical experts across the company. • Performing complex data extraction, manipulation, and summarization of large databases to create analytical data models; • Implementing data quality tests, CI/CD and version control best practices for analytics codebases throughout the data modeling pipeline. • Supporting software engineers in optimizing processes and technical solutions for de-identification and ETL of clinical data from disparate health system cloud environments to Dandelion Health’s data warehouse. • Working with experts in natural language processing (NLP) to structure and model discrete clinical concepts data that have been abstracted from unstructured and semi-structured text data. • Collaborating with technical and clinical subject matter experts and Dandelion customers to translate research and model requirements into engineering solutions.

🎯 Requirements

• Bachelor’s degree in a quantitative field (ex. Data Science, Biomedical Informatics, Computer Science, Biostatistics) • 3+ years of experience in analytics or data engineering roles where you are responsible for hands-on cleaning and structuring clinical and electronic health record data • Strong dbt and SQL proficiency: writing reusable Jinja macros, implementing custom tests, and comfortable with multi-environment deployments (dev/staging/prod) • 1+ years of experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR, claims, registry); this may include knowledge of the roles of data exchange and content standards (e.g., FHIR, CDA, CQL) and clinical terminology standards (e.g., ICD, CPT, LOINC, SNOMED-CT, NDC, RxNorm) • Comfort working in a cloud environment (ideally Snowflake and/or AWS). • Proficiency with Git and version control workflows • Is an advocate for bringing software engineering best practices (modularity, unit testing, concise and well-documented code) to a data science team. • Comfortable with ambiguity and creative problem-solving in a fast-paced, rapidly growing startup environment. • Excellent communication skills to advocate for the value of robust analytics engineering solutions and translate customer needs into data solutions. • Passion for improving healthcare and building infrastructure that makes research and clinical AI safer, faster, and more reliable.

🏖️ 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