Our Team
Dandelion Health unlocks a layer of unexplored clinical depth that has been previously inaccessible at scale. By combining all the raw multimodal data from community health systems with validated AI models, we deliver regulatory-grade scientific insights and products that give teams the evidence to design better trials, enroll the right patients, and generate AI-powered insights that drive confident decisions across the development and commercial lifecycle.
Your Role
You are a healthcare data scientist who knows your way around clinical and electronic health record data. Your primary responsibility is to partner collaboratively with our clients to develop data science solutions and analyze AI-ready datasets to provide key insights using multimodal data. You will curate datasets by identifying patient subpopulations or disease cohorts, and pool multimodal data to drive rapid exploratory AI/ML and Real-World Evidence analyses, model experimentation, and/or model validation. You will lead analytics research from inception to closeout by having ownership over study design, data curation strategies, effort estimation, analytic design, and delivery of final results. You will use your data expertise, programming abilities, and critical thinking skills to support our clients by designing and delivering solutions to help them tackle a broad range of business challenges. Your team’s ultimate goal is to deliver the highest-quality data possible to our clients, who are building products that improve patient health, and demonstrate the value of these data. You will report to the Research Data Science Manager.
Responsibilities
Your day-to-day responsibilities will include the following:
- Collaborate with clients to develop creative analytic solutions that create value and address challenges across critical areas of their business.
- Design statistical analysis plans for evidence generation projects that include methodology, results structure, expected outputs and dataset requirements;
- Query 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 for analytic and AI use cases;
- Develop descriptive analyses and in-depth predictive and causal inference models to drive evidence generation on Dandelion data and enhance existing data products;
- Summarize the methods and results from projects into clear explanations and documentation for internal and external audiences including for submission to conferences and peer-reviewed publications;
- Support all phases of SQL/analytical programming, data management, quality control, and reporting for analytics projects;
- Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to internal and external customers;
- Create summarized findings and recommendations that are clearly presented and adapted for audiences that have a varying range of technical and clinical experience;
- Identify and resolve problems using your knowledge, background, and troubleshooting skills;
- Ensure accuracy, data integrity, and validity of data and analysis in all work;
- Present to senior leadership as well external audiences
You are not afraid to dig into massive, confusing, disorganized 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 and everyone pitches in across the team.
Qualifications
- M.S. or PhD degree in a relevant field, such as Biomedical Informatics, Data Science, Biostatistics, or B.S. with at least seven years of experience
- Experience in client interaction, crafting project proposals, and leading teams.
- Background in statistical modeling and real-world data analysis
- Fluency in Python and SQL
- 1+ years experience with extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem (e.g., EMR,…