Research Consultant Data Scientist

Our Team

Dandelion Health https://dandelionhealth.ai/ was founded in 2020 by experts in health tech https://www.linkedin.com/in/elliott-green-98433b2/, hospital systems https://www.linkedin.com/in/niyum-gandhi/, academia https://sendhil.org/, and clinical AI http://ziadobermeyer.com/. 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 https://dandelionhealth.ai/team.

Our Data

We partner with health systems http://dandelionhealth.ai/team 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 https://dandelionhealth.ai/team – 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 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 re