# Scientist, Machine Learning (Human Physiology)

**Company**: FL127, a Flagship Pioneering portfolio company
**Location**: Cambridge, MA
**Experience**: senior
**Job type**: full-time
**Salary**: $136,000 - $211,750
**Category**: Research
**Industry**: Healthcare

**Apply**: https://job-boards.greenhouse.io/flagshippioneeringinc/jobs/8917791002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_6cdb538d-819

## Description

FL127 is seeking a scientist to help connect physiological signals to what they indicate about a person. You will ground each signal in physiology, help design human studies, and build models that relate measurements to reference measures and outcomes.

Key Responsibilities:

- Ground measured signals in physiology

- Collaborate with product and market teams to prioritize applications

- Co-design human studies with the imaging team

- Build and evaluate models relating measurements to reference measures and outcomes

- Set the evidence bar for findings and report data-supported conclusions

- Review extracted signals for physiological plausibility

Required Qualifications:

- PhD in biomedical engineering, physiology, bioengineering, biophotonics, or a related field

- Substantial applied machine learning experience

- Deep knowledge of human physiology

- Experience with human studies, statistical modeling, and Python

Preferred Qualifications:

- Published work in remote physiological sensing or digital biomarkers

- Experience turning research into product features

- Familiarity with skin optics models

Why FL127:

- Work with human study data from your first weeks

- Shape which applications the company studies and builds first

- Join a small team where scientists and AI agents work side by side

## Skills

### Required
- Python
- machine learning
- biomedical engineering
- physiology
- bioengineering
- biophotonics
- statistical modeling

### Nice to have
- remote physiological sensing
- digital biomarkers
- skin optics models
- Monte Carlo simulation
- diffusion theory
- chromophore decomposition

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/flagshippioneeringinc/jobs/8917791002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)