Research Consultant, Data Scientist

Dandelion Health

. Partner collaboratively with clients to develop data science solutions and analyze AI-ready multimodal datasets .

Posted 9/22/2026full-timeRemote • United StatesJunior💰 $155,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data science solutions, statistical modeling, and healthcare data analysis, with proficiency in Python and SQL. Capable of leading projects, managing client interactions, and ensuring data integrity while adhering to HIPAA compliance.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyStatistical ModelingHealthcare Data AnalysisClient Interaction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisData CurationPredictive ModelingCausal InferenceData ManagementQuality ControlAnalytical ProgrammingMachine LearningNLPDICOM

Soft Skills

Technical WritingCommunicationOrganizational SkillsProject Management

Tools & Technologies

GitAWSEpicCernerAllscripts

Industry Keywords

Biomedical InformaticsData ScienceBiostatisticsFHIRCDACQLICDCPTLOINCSNOMED-CT

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

Partner collaboratively with clients to develop data science solutions and analyze AI-ready multimodal datasets
Curate datasets by identifying patient subpopulations or disease cohorts and pooling multimodal data
Lead analytics research from inception to closeout, owning study design, data curation strategies, effort estimation, analytic design, and final delivery
Develop statistical analysis plans for evidence-generation projects
Query complex healthcare source systems, including EMRs, ECG data, and DICOM data
Develop descriptive analyses and predictive and causal inference models
Summarize methods and results for internal and external audiences, conferences, and peer-reviewed publications
Support SQL and analytical programming, data management, quality control, and reporting
Develop code and documentation for high-quality, HIPAA-compliant data products
Present findings and recommendations to varied technical and clinical audiences and senior leadership
Identify and resolve data and analytical problems
Ensure accuracy, data integrity, and validity of data and analysis
Report to the Research Data Science Manager
Occasional travel for in-person company working days approximately quarterly

Requirements

What you’ll need

M.S. or PhD degree in a relevant field, such as Biomedical Informatics, Data Science, or 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 extracting, curating, and analyzing data created within the HIT and healthcare delivery ecosystem
Knowledge of data exchange and content standards such as FHIR, CDA, and CQL is applicable
Knowledge of clinical terminology standards such as ICD, CPT, LOINC, SNOMED-CT, NDC, and RxNorm is applicable
Strong technical writing, editing, and communication skills
Excellent organizational skills and ability to manage multiple projects and meet deadlines
SQL
Python and/or R
Git and version control
Familiarity with encryption methods and regular expressions
Experience querying EDWs or databases and creating healthcare data reports or analytics
Familiarity with electronic medical record data, such as Epic, Cerner, and Allscripts
Prior experience working with insurance claims data
Familiarity with medical terminologies or controlled vocabularies
Medical ontology experience
NLP experience
Experience with DICOM or other imaging modalities
Experience with OMOP common data model
Familiarity with machine learning concepts
Experience with AWS
Must be currently based in the US and authorized to work in the US on a full-time basis
Sponsorship may be required now or in the future; application asks candidates to disclose this

Benefits

Comp & perks

Offers equity
Offers bonus
Remote work and flexible hours
Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more
Professional development days to build your skills
Occasional in-person company working days on roughly a quarterly basis
Collegial work environment
Focus time and accessible team collaboration
Mission-driven company focused on improving patient care