Scientist, Machine Learning (Human Physiology)

The role

You will connect physiological signals to human indicators by grounding signals in physiology and designing human studies. You will build models relating measurements to reference measures and outcomes in small human cohorts.

What you will do

• Ground each measured signal in physiology
• Work with the product and market team to decide which applications to study first
• Co-design human studies with the imaging team
• Build and evaluate models that relate measurements to reference measures and outcomes
• Set the evidence bar a finding must meet before it shapes the product
• Review extracted signals for physiological plausibility and suggest improvements to the measurement pipeline

Required qualifications

• PhD in biomedical engineering, physiology, bioengineering, biophotonics, or a related field, or an MD/PhD, with substantial applied machine learning experience
• Deep knowledge of human physiology in an area such as microcirculation, hemodynamics, tissue optics, skin biology, or cardiorespiratory physiology
• Experience taking a measurement or digital biomarker through human studies, including endpoint selection, reference measurements, IRB-governed protocols, and agreement analysis
• Statistical modeling on small human datasets, including within-subject and longitudinal designs
• Proficiency in Python and the modern ML stack, and comfort working inside an existing research codebase
• Enough imaging and signal-processing background to reason about how calibration, registration, and sampling affect a derived measurement
• Ability to work independently in an early-stage, ambiguous environment and make decisions with incomplete data

Nice to have

• Published or applied work in remote physiological sensing, digital biomarkers, or wearable or contactless measurement
• Experience turning research results into a product feature, ideally at a consumer device company
• Familiarity with skin optics models (Monte Carlo simulation, diffusion theory, chromophore decomposition)
• Experience modeling individual baselines and change over time
• Experience in a venture-backed startup or early-stage research environment

Benefits

• Healthcare coverage
• Annual incentive program
• Retirement benefits
• Broad range of other benefits

About the company

Flagship Pioneering is a platform innovation company that conceives, creates, resources, and develops first-in-category life sciences and technology companies. FL127 is a privately held, early-stage company operating within the Flagship Pioneering ecosystem.