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-timeLondon • United KingdomSenior💰 £88,000 - £94,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in quantitative research, statistical methods, and data science, with advanced proficiency in R and Python. Capable of transforming datasets into actionable insights and leading scientific communication in youth mental health.

Highest-signal resume keywords

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative ResearchStatistical MethodsData Science SkillsR ProgrammingPython ProgrammingLLMs/GenAI ApplicationComposite Indices BuildingGeospatial Analysis

Soft Skills

Clear Scientific CommunicationDesire To Learn New SkillsAdaptability In Fast-Paced Environments

Tools & Technologies

DatabricksAzure

Certifications & Qualifications

PhD Or Equivalent

Industry Keywords

Youth Mental HealthData-Query InterfaceActionable InsightsScientific Authority

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
Build and refine the US Youth Mental Health Tracker dataset and turn it into actionable insight
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 independently
Lead peer-reviewed manuscripts and validation papers
Establish YMHT as a scientific authority in youth mental health
Work alongside research leadership and domain experts on data, measurement, tooling, and rigorous analysis

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
London-based and able to work in the London 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
Annual performance-based bonuses may be available
Equity may be available