Neuroscience Data Scientist for Closed-Loop Brain Imaging

Convergent Research; San Francisco (CA); On-site; USD 183,000 - 210,000; Full time

Benefits offered by this job

Medical, dental, and vision – most/pln

401(k) with match

Company-paid life and AD&D

Holidays and floating day

PTO and sick leave

Job summary

Arbor Neuroscience is seeking a highly quantitative data analyst to turn longitudinal datasets from functional ultrasound and electrophysiology into actionable insights. The role blends experimental collaboration with software tooling to support longitudinal, closed-loop studies across humans and animals.

You'll work with a small, startup-like team, owning data analysis, designing adaptive experiments, and helping set the computational direction as the organization grows.

Qualifications

• PhD or equivalent training in a quantitative field and a strong track record.
• Deep experience in signal processing, statistics and inference, ML, or computational neuroscience.
• Strong coding skills and a portfolio of independent work.
• Ability to distinguish solvable problems from unsolvable ones and prefer simpler answers.

Responsibilities

• Own analysis of Arbor's experimental data (functional ultrasound and electrophysiology) and the tooling.
• Collaborate with the experimental team from study design through interpretation.
• Develop image processing tools for registration, alignment, and artifact handling.
• Design algorithms for intervention optimization and adaptive experiments.
• Develop online and real-time analysis methods to support closed-loop experiments.
• Integrate data across modalities and scales and contribute to scientific decisions.

Skills

Quantitative background

Signal processing

Statistics & inference

Machine learning

Medical imaging analysis

Control theory

Computational neuroscience

Strong coding skills

Independent work

Direct communication

Education

PhD or equivalent training

Tools

GitHub

Python

MATLAB

Job description

Arbor Neuroscience is seeking a highly quantitative data analyst to turn longitudinal datasets from functional ultrasound and electrophysiology into actionable insights. The role blends experimental collaboration with software tooling to support longitudinal, closed-loop studies across humans and animals.

You'll work with a small, startup-like team, owning data analysis, designing adaptive experiments, and helping set the computational direction as the organization grows.