Scientist, Machine Learning (Human Physiology)

What you'll do

• Ground measured signals in physiology, assess confounders, and review signals for plausibility.
• Co-design human studies, including endpoints, reference measurements, and protocols.
• Build and evaluate models on small cohorts, assess evidence quality, and report findings and limitations.

What they ask for

• 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 a relevant 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, proficiency in Python and the modern ML stack, and comfort with an existing research codebase.

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; familiarity with skin optics models or modeling individual baselines and change over time.

Pay

$136,000 - $211,750 (base salary)

Tools

Python, Monte Carlo simulation, diffusion theory, chromophore decomposition

AI focus

Direct AI agents in daily work for literature synthesis, study design, data analysis, and code.