Note: The job is a remote job and is open to candidates in USA. Dandelion Health is a healthcare technology company building an AI training and clinical development platform using multimodal clinical data. The Research Consultant Data Scientist partners with clients to curate healthcare datasets, conduct statistical and predictive analyses, lead analytics research projects, and deliver high-quality data products and insights.
Responsibilities
- 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
Skills
- • 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, 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)
- • Strong technical writing, editing, and communication skills along with a collaborative, client-first mindset
- • Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines
- • SQL
- • Python and/or R
- • 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
- • Prior experience working with insurance claims data
- • Familiarity with medical terminologies or controlled vocabularies such as ICD-10, SNOMED-CT, LOINC, CPT/HCPCS, NDC, and RxNorm
- • Familiarity with Machine Learning concepts
- There is occasional travel for in-person company working days on roughly a quarterly basis
- • Note that familiarity with machine learning model development and deployment is not required for this position, but familiarity with high-level ML concepts is a plus
- • Experience working in or with startups is a plus
- • Familiarity with encryption methods and writing regular expressions
- • Any medical ontology experience
- • Any NLP experience
- • Any experience working with DICOM or other imaging modalities
- • Experience with OMOP common data model
- • Experience with AWS
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
- 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
Company Overview