Senior Research Scientist

Whoop
Boston, US
On-site

Who this role is best for

Aimed at senior researchers who model physiological data to derive actionable health insights at individual and population levels.

Best fit for

  • Senior researchers with expertise in human physiology and data science
    — “work at the intersection of data science, human physiology
  • Candidates capable of translating continuous data into real-world insights
    — “translates continuous physiological data into meaningful, real-world insights

Things to consider

  • Research must go beyond detection to model trajectories
    — “research that goes beyond detection to model trajectories
  • Focus on both individual and population-level insights
    — “individual and population level

How to stand out

  • Demonstrate experience in hypothesis-driven research with physiological data
    — “lead hypothesis-driven research that translates continuous physiological data
  • Highlight projects that model individual variability in health contexts
    — “model trajectories, variability, and individual response patterns
  • Showcase work where insights led to actionable product innovations
    — “meaningful, real-world insights
Pace · SteadyCollaboration · MediumAutonomy · HighDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • publishing research papers
  • developing predictive models
  • improving user health outcomes
Typical background
PhD in Data ScienceMasters in Biomedical Engineering

Skills & requirements

Required

Data ScienceMachine LearningResearch MethodologyStatistical AnalysisHealth Informatics

Preferred

Biomedical EngineeringWearable Technology

About the role

Original posting from Whoop via Lever

At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. 

We are seeking a Senior Research Scientist to lead hypothesis-driven research that translates continuous physiological data into meaningful, real-world insights. You will work at the intersection of data science, human physiology, and product innovation, and will focus on understanding how health, behavior, and context interact over time at the individual and population level.

The ideal candidate will design and execute research that goes beyond detection to model trajectories, variability, and individual response patterns to enable more accurate and actionable insights.

Source: Whoop careers (Lever)

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