Senior Data Scientist, Neuroimaging & Clinical AI (Remote)

Firefly Neuroscience; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully Remote job

Competitive compensation for lead role

Health, dental, vision, 401(k) and PTO

Job summary

Firefly Neuroscience is hiring a Lead Data Scientist to own the neuroscience behind every number on our EEG reports. You will verify pipelines, build machine-learning models on real clinical data, and lay groundwork for foundation models trained on neural data.

This hands-on, high-ownership role sits in a small senior team. You will set methodology, ship in Python, and collaborate with clinical advisors, customers, and leadership as a scientific authority.

Qualifications

• 8+ years in a data science role.
• Master's degree or higher in neuroscience, neuroimaging, clinical neurophysiology, biomedical engineering, or related field.
• Experience building and shipping machine-learning models on neural/clinical data (EEG/MRI).
• Experience building/validating normative/reference datasets and z-score construction.

Responsibilities

• Build, validate, deploy, and monitor machine-learning models on clinical data.
• Own the measures and document their computation and limitations.
• Reproduce and audit inherited analysis methods with evidence for regulatory review.
• Develop normative reference data and update norms as data grows.
• Deliver sponsored-research analyses for external partners on time and with rigor.
• Collaborate with Tech Lead and clinical advisor to ship changes through engineering processes.

Skills

Python

NumPy

SciPy

MNE

Data Visualization

Clinical Neuroscience

Regulatory/Quality

Communication

Education

Master's degree in neuroscience or related field

Equivalent sustained research experience

Tools

AWS

MATLAB

Cloud Computing

Job description

Firefly Neuroscience is hiring a Lead Data Scientist to own the neuroscience behind every number on our EEG reports. You will verify pipelines, build machine-learning models on real clinical data, and lay groundwork for foundation models trained on neural data.

This hands-on, high-ownership role sits in a small senior team. You will set methodology, ship in Python, and collaborate with clinical advisors, customers, and leadership as a scientific authority.