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About the Role
Arbor Neuroscience is seeking an individual to ensure the existence of necessary hardware for scientific experiments. This role involves understanding experimental constraints, collaborating with engineering partners, and developing portable, robust systems for human and animal studies. The position requires a blend of mechanical, electrical, and bioengineering expertise, with the ability to manage in-house development and external contractors. The role offers the opportunity to shape the future of Arbor and its hardware platforms.
Responsibilities
- Work directly with scientists to understand experimental needs and translate them into hardware requirements.
- Own the company's involvement in Forest 1 development, including performance characterization, defining future needs, and collaborating with the engineering partner.
- Design, build, and assist in validating hardware for a novel platform combining bidirectional electrophysiology and ultrasound in animals.
- Develop implants, headstage interfaces, simple circuit boards, and test rigs for animal studies.
- Make the Forest 1 system portable and robust for out-of-clinic use.
- Determine which hardware components should be developed in-house versus contracted out, and manage external contractors.
- Prepare hardware platforms for external use by ensuring documentation, reproducibility, and robustness.
Requirements
- Depth in at least one of mechanical engineering, electrical engineering, or bioengineering.
- Sufficient working knowledge of other engineering disciplines to identify needs and appropriate resources.
- A proven track record of building functional physical systems such as instruments, devices, or rigs.
- Experience in environments with evolving or unclear requirements.
- Credibility and judgment to effectively collaborate with external engineering teams.
- Proficiency with CAD software.
- Comfort with simple board design.
- A network of contacts for outsourcing work.
- Genuine interest in the experimental and clinical applications of the hardware.
- Direct communication style, willingness to ask questions, and a collaborative approach.
- Willingness to acquire a background in neuroscience.
Skills
- Mechanical Engineering
- Electrical Engineering
- Bioengineering
- CAD
- Board Design
- Hardware Development
- System Integration
- Project Management
- Collaboration
- Problem Solving
Location
- Remote
- Onsite
Work Type
- Full-time
- Contract
Experience Level
- Entry-level
- Mid-level
- Senior-level
Education Level
- Bachelor's Degree
- Master's Degree
- PhD
Salary/Compensations
- $183,000 - $240,000
Benefits
- Medical, dental, and vision insurance (most plans fully covered for employee and dependents)
- 401(k) with up to 6% company match
- Company-paid life and AD&D insurance
- Voluntary supplemental insurance options
- 15 paid holidays
- 1 floating holiday (birthday)
- 3 weeks of paid time off (PTO) increasing with tenure
- Separate sick leave
- Sponsorship for U.S. work authorization considered case by case, with legal and government fees covered where applicable.
About the Company
- Arbor Neuroscience is a nonprofit research organization focused on solving complex problems in clinical neuroscience, specifically modulating brain circuits by design.
- The organization aims to develop reliable treatments for conditions like depression and chronic pain by improving the predictability of neuromodulation techniques.
- Arbor is building an experimental platform that includes the Forest 1 ultrasound system for imaging and stimulation, and is incorporating electrode-based interfaces.
- As a Focused Research Organization within Convergent Research (formerly Forest Neurotech), Arbor is mission-driven and conducts multidisciplinary translational work.
- The organization has secured initial funding and is a small, growing team where early hires will significantly influence its direction.
Equal Opportunity
- Arbor is an equal opportunity employer committed to diversity and inclusion.
- Hiring decisions are based on talent and experience, without regard to race, color, religion, ethnicity, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by law.