Neuroscience Data Scientist: Longitudinal Imaging & Analysis

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

Benefits offered by this job

Medical, dental, and vision – most can

401(k) with up to 6% match

Company-paid life and AD&D

15 holidays + floating birthday

PTO + sick leave

Job summary

Arbor Neuroscience seeks a highly quantitative data scientist to analyze longitudinal ultrasound imaging and electrophysiology data. You will develop tooling, work closely with experimental teams, and design algorithms for real-time, closed-loop experiments.

We value a PhD or equivalent training, deep skills in signal processing and machine learning, and strong coding abilities. This is a multi-role, startup-like environment with collaboration across disciplines.

Qualifications

• A PhD, or comparable training in an equally demanding environment such as industry
• Real depth in several of: signal processing, statistics and inference, machine learning, medical or brain imaging analysis, control theory, computational neuroscience; we don't expect all of them
• Strong coding skills

Responsibilities

• Own analysis of Arbor's experimental data, including functional ultrasound imaging and electrophysiology, along with the tooling that supports it
• Work with the experimental team from study design through interpretation, so we answer the highest-priority questions
• Develop image processing tools: registration and alignment, artifact handling, and whatever else the data demands
• Help design algorithms for intervention optimization and adaptive experiment design
• Develop online and real-time analysis methods to support closed-loop experiments
• Build methods for integrating data across modalities and scales
• Contribute to high-level scientific decisions about where the organization is going
• Not all of this is one person's job. Where you start depends on your strengths and on what the program needs most.

Skills

Quantitative background

Signal processing

Statistics & inference

Machine learning

Medical imaging analysis

Control theory

Computational neuroscience

Strong coding skills

Independent work

Education

PhD or equivalent training

Tools

GitHub

Job description

Arbor Neuroscience seeks a highly quantitative data scientist to analyze longitudinal ultrasound imaging and electrophysiology data. You will develop tooling, work closely with experimental teams, and design algorithms for real-time, closed-loop experiments.

We value a PhD or equivalent training, deep skills in signal processing and machine learning, and strong coding abilities. This is a multi-role, startup-like environment with collaboration across disciplines.