Flagship Pioneering, Inc. - Scientist, Machine Learning (Human Physiology)
Requirements
• 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 • 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
Responsibilities
• Ground each measured signal in physiology: what it reflects, what confounds it, and which physiological states it may indicate • Work with the product and market team to decide which applications to study first, weighing scientific plausibility, study cost, and user value • Co-design human studies with the imaging team, including endpoints, reference measurements, and protocols • Build and evaluate models that relate our measurements to reference measures and outcomes on small cohorts, with attention to confounders, leakage, demographic stratification, and sample size • Set the evidence bar a finding must meet before it shapes the product, and report what the data supports and where it falls short • Review extracted signals for physiological plausibility and suggest improvements to the measurement pipeline
Benefits
• Work with human study data from your first weeks • Shape which applications the company studies and builds first • Draw on the scientific, operational, and capital resources of the Flagship Pioneering ecosystem • The salary range for this role is $136,000 - $211,750. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL127 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL127's good faith estimate as of the date of publication and may be modified in the future.
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