Senior Research Scientist

Surgo Health

. Drive development of a national youth thriving dataset spanning four surveys and thousands of young people .

Posted 9/23/2026full-timeUnited StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative research methodologies, statistical analysis, and data science, with advanced proficiency in R and Python. Capable of leading scientific communication and collaboration across multidisciplinary teams in youth mental health research.

Highest-signal resume keywords

PhD Or EquivalentQuantitative Research ExperienceStatistical MethodsR And Python ProficiencyExperience With Databricks And Azure

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ResearchStatistical AnalysisData ScienceR ProgrammingPython ProgrammingLLMs/GenAI ApplicationComposite Indices DevelopmentGeospatial AnalysisData EngineeringData Query Interface Development

Soft Skills

Clear CommunicationCollaborationAdaptabilityDesire To Learn

Tools & Technologies

DatabricksAzureYMHT Platform

Industry Keywords

Youth Mental HealthScientific AuthorityData-Driven PrototypesFast-Paced Startup Environment

Tech Stack

Tools & technologies

AzurePython

About the role

Key responsibilities & impact

Drive development of a national youth thriving dataset spanning four surveys and thousands of young people
Transform the YMHT platform from static dashboards into an interactive data-query interface
Work with the Engineering team to build AI-driven prototypes enabling partners to interrogate YMHT data independently
Lead peer-reviewed manuscripts and validation papers establishing YMHT as a scientific authority in youth mental health
Design methods, write rigorous analyses, and engineer systems supporting the US Youth Mental Health Tracker
Collaborate with research leadership, domain experts, product, and engineering teams

Requirements

What you’ll need

A PhD or equivalent with 5+ years hands-on, end-to-end quantitative research experience
Strong command of statistical methods
Advanced proficiency in R and/or Python for analysis and data work
Solid data science skills
Experience working with Databricks and Azure alongside product and engineering teams
Experience applying LLMs/GenAI to research and analytics workflows
Experience building composite indices or measurement frameworks and/or geospatial analysis is a strong plus
Desire to work in a fast-paced startup environment amidst uncertainty
Desire to learn new skills and a new domain beyond your area of expertise
Clear scientific and technical communication in English, written and verbal
Washington DC-based and able to work in the DC office two days per week

Benefits

Comp & perks

Fantastic, fun and collaborative colleagues; opportunity to solve tough challenges in healthcare
Ability to be entrepreneurial and tremendous opportunities for growth
Public Benefit Corporation with an impact and equity mission
Competitive compensation
3 months paid parental leave
Professional Development opportunities
Individuals may be eligible for annual performance-based bonuses and equity (if applicable)