Health Economist and Outcomes Researcher

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Our Team

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. Meet the rest of our team here.

Our Data

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.

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 data scientist or researcher with a background in Health Economics and Outcomes Research (HEOR) who knows your way around clinical data and health economics simulation modeling. Your primary responsibility will be to own HEOR and real-world evidence (RWE) projects from end-to-end that leverage Dandelion data and evaluate the impact of newly developed interventions in a patient population. These interventions range from traditional (therapeutics, medical devices) to more novel (newly developed AI algorithms that would impact the patient care journey when deployed in a healthcare setting) in nature.

This role will be responsible for generating and disseminating scientific evidence to support the value proposition of different interventions for a range of stakeholders, including AI developers, providers, policymakers, and patients. You will work across the organization to curate datasets by identifying patient subpopulations or disease cohorts, develop HEOR and RWE models to evaluate the impact of therapeutic or algorithmic interventions, and provide health economic modeling output to support stakeholders in making decisions.

You will use your data expertise, programming abilities, and critical thinking skills to support our technical product team, and develop your own analyses to derive insights and enhance our datasets based on the use case. Your team’s ultimate goal is to deliver the highest-quality insights possible to our clients, who are building products that improve patient health. You will report to the Head of Data.

Responsibilities

Design and conduct methodologically sound HEOR and RWE studies with multimodal clinical data to ensure timely understanding of burden of disease, unmet need, and the economic and clinical value proposition of different algorithmic and medical interventions;
Author and review analytic plans, reports, and other study documents with independent, critical thinking to ensure completeness of output;
Serve as project lead for HEOR and RWE studies and take ownership of timeline for deliverables associated with analyses, reporting, and publication or presentation of your modeling projects;
Query Dandelion’s range of health data sources (e.g., EMRs, semi-structured reports, free-text clinical provider notes) to identify key data elements and create and enrich high-quality datasets for HEOR modeling and RWE analyses to support customers’ AI activities;
Develop code and documentation to deliver high-quality and HIPAA-compliant data products on time to clients;
Identify and resolve problems using your knowledge, background, and troubleshooting skills;
Ensure accuracy, data integrity, and validity of data and analysis in all work;
Provide support for technical product team to advance development of the suite of data-related product offerings;
Summarize HEOR findings and recommendations into clear explanations and presentations for internal and external audiences that have a varying range of technical and clinical experience;
Keep abreast of AI, HEOR, and therapeutic area advances in the US, collaborating with the Growth and Product teams to improve our study definitions and methodologies in relation to these trends.

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.

Advanced degree in a relevant field (ex. Health Economics, Biostatistics, Epidemiology, Computational Modeling, Statistics) with at least 2 years of work experience in an applied setting;
At least 2 years of experience in applying health economics, epidemiology, biostatistics, or related research methodology to design, plan, and conduct HEOR modeling and RWE studies;
Strong basis in fundamental statistical methods and familiarity with techniques such as microsimulation modeling, survival analysis (including parametric and nonparametric methods), longitudinal data analysis, mixed treatment comparison, etc.;
Familiarity with machine learning use cases in HEOR including the prediction of risk of various health care events; causal estimation of treatment effects; developing models for economic evaluation; and model/data transparency;
Fluency in using SQL as well as R or Python to curate datasets and run health economic models that utilize clinical data sources such as electronic medical records (EMR) and claims data
Strong technical writing, editing, and communication skills, along with a collaborative mindset
Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines
Experience working with machine learning techniques, clinical algorithms or developing / validating clinical AI is a plus
Experience working in or with startups is a plus

Other Technical Experiences and Skills

Git and version control
Prior experience querying EDWs or databases and creating reports or analytics for healthcare data
Familiarity with the data aspects of electronic medical records, ex. Epic, Cerner, Allscripts
Any medical ontology experience
Any experience working with DICOM or other imaging modalities
Experience with AWS

Nature of our work

Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it!

If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you.

There is occasional travel for in-person company working days on roughly a quarterly basis.

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

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