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About the Role
Arbor is generating novel datasets from human and animal studies involving functional ultrasound imaging, electrophysiology, and neuromodulation. The primary responsibility is the analysis of these data and the associated tooling, working closely with a quantitative experimental team. This role involves experiment design, online analysis implementation, and closed-loop control, with opportunities to influence the organization's computational direction.
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 to answer high-priority questions
- Develop image processing tools: registration and alignment, artifact handling, and other data-specific needs
- 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 the organization's direction
Requirements
- A strong quantitative background: a PhD, or comparable training in an equally demanding environment such as industry
- Significant depth in several of: signal processing, statistics and inference, machine learning, medical or brain imaging analysis, control theory, computational neuroscience
- Strong coding skills
- A significant body of independent work
- Judgment to differentiate problems solvable by standard statistical methods from those requiring more sophisticated approaches, with a preference for simpler solutions
- Self-starter with the ability to find the shortest effective path to the scientific goal
- Direct communication style: state thoughts clearly, ask questions when unsure, and avoid competition with colleagues
- Desire to learn neuroscience
- Experience in a professional software development environment (nice to have)
- Public record of algorithm or code development on GitHub or similar (nice to have)
- Experience with ultrasound, neural, or medical imaging data (nice to have)
- Prior work in a research setting where tooling had to be built independently (nice to have)
Skills
- Signal processing
- Statistics and inference
- Machine learning
- Medical or brain imaging analysis
- Control theory
- Computational neuroscience
- Coding
- Image processing
- Algorithm development
- Adaptive experiment design
- Online analysis
- Real-time analysis
- Data integration
Location
- Remote
Work Type
- Full-time
- Nonprofit
Experience Level
- Multiple levels
- Senior
Education Level
- PhD
Salary/Compensations
- $183,000 - $210,000
Benefits
- Medical, dental, and vision – most plans fully covered for you and your dependents
- 401(k) with up to 6% match
- Company-paid life and AD&D, with voluntary supplemental options
- 15 holidays plus a floating day for your birthday
- 3 weeks PTO increasing with tenure, and separate sick leave
- Consideration for U.S. work authorization sponsorship, covering legal and government fees
About the Company
- Arbor is a nonprofit research organization focused on changing brain circuits by design to address untreatable brain disorders.
- The organization is building an experimental platform, including the Forest 1 ultrasound system, for longitudinal, closed-loop studies.
- Arbor is a Focused Research Organization within the Convergent Research family, formerly known as Forest Neurotech.
- It is a mission-focused nonprofit undertaking multidisciplinary translational work.
- The organization has secured initial funding and is a small team where early hires will significantly shape its future.
Equal Opportunity
- Arbor is an equal opportunity employer. We hire based on talent and experience and don't discriminate on the basis of race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law.