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Computational Neuroscientist

San Francisco, CA · On-site

$120K - $160K/yr

About the Role As a Computational Neuroscientist , you will play a pivotal role in advancing our ... PhD/postdoc in neuroscience or a related field. * Extensive experience in designing and executing ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions ... Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY · On-site

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions ... Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or ...

Synaptrix Labs

Grant Writer (PhD)

New York, NY

We're looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions ... Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or ...

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How much do computational neuroscience phd jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for computational neuroscience phd in the United States is $54.93, according to ZipRecruiter salary data. Most workers in this role earn between $46.88 and $73.56 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational neuroscience PhD, and why are they important?

To thrive as a Computational Neuroscience PhD, you need advanced knowledge of neuroscience, mathematics, and computer science, typically supported by a doctoral degree in a related field. Expertise in programming languages (such as Python or MATLAB), machine learning frameworks, and neuroimaging or electrophysiological data analysis tools is highly valued. Strong analytical thinking, problem-solving abilities, and collaborative communication skills distinguish top candidates in this interdisciplinary field. These skills are crucial for advancing scientific discovery and translating complex neural data into actionable insights.

What types of interdisciplinary collaboration can I expect as a computational neuroscience PhD student?

As a Computational Neuroscience PhD student, you will frequently collaborate with researchers from diverse backgrounds such as biology, psychology, computer science, mathematics, and engineering. These interactions often involve joint research projects, lab meetings, and interdisciplinary seminars, allowing you to contribute your computational expertise to experimental designs or data analysis while gaining valuable insights from other fields. This collaborative environment not only enriches your research but also helps you build a strong professional network and develop a broader skill set, preparing you for various career paths within academia, industry, or clinical research.

What is a computational neuroscience PhD?

A Computational Neuroscience PhD is an advanced research degree focused on studying how the brain processes information by combining neuroscience with computational modeling, mathematics, and computer science. Students in this program learn to develop and use mathematical models, simulations, and data analysis techniques to understand neural systems and brain functions. Graduates are prepared for careers in academia, industry, or government, working on projects related to brain research, artificial intelligence, neurotechnology, and more.
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Infographic showing various Computational Neuroscience Phd job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $114,249 per year, or $54.9 per hour.

Neuroscience PhD (Computational / Active Inference)

Clera

San Francisco, CA • On-site

$150K/yr

Full-time

Posted 17 days ago

Job description

About the Role

This is a founding technical role at a Y Combinator–backed consumer healthtech startup building a wearable that quantifies emotional states in real time. The company is early-stage (team of ~5), already has prototypes on users' wrists, and is growing fast. You'll own the core inference model that powers the product — bridging cutting-edge computational neuroscience with production machine learning engineering.

This is not a pure research role. Computational neuroscientists here effectively double as ML engineers, taking models from research through to deployment.

What You'll Do

  • Design, develop, and iterate on the inference model that quantifies emotional states (e.g. energy, mood, focus) from multimodal wearable sensor data — including audio and biometric signals

  • Own the full ML lifecycle: model development, evaluation, and production deployment

  • Apply active inference frameworks and computational neuroscience methods to real-world signal processing challenges

  • Bridge neuroscience research and production ML, collaborating closely with the founding team to shape both the science and the product roadmap

  • Grow into a leadership role as the company scales

What We're Looking For

Required

  • PhD in computational neuroscience, cognitive science, active inference, or a closely related field — this is a strict requirement

  • Hands-on experience building and deploying inference models to quantify emotional or physiological states from wearable sensor data

  • Strong machine learning engineering skills: model development, evaluation, and deployment

  • Experience with active inference frameworks and computational neuroscience methods

  • Comfort working on-site (San Francisco or London) and ability to work without new visa sponsorship (visa transfers considered for the London office)

Nice to Have

  • Experience working in a fast-moving, early-stage environment

  • Python proficiency across the ML stack

  • Background in consumer health, biometrics, or affective computing

Not a fit: Candidates with a wet-lab-only neuroscience background and no computational or ML engineering experience.

Compensation & Benefits

  • Salary: ~$150,000 USD (San Francisco) / ~£75,000 GBP (London)

  • Equity: Up to 1–2% (founding team equity package)

  • Backed by angels and strategic partners (pre-Series A / seed stage, YC Spring 2026)

Location

  • On-site in San Francisco, CA, USA or London, UK — location is flexible between the two

  • Visa sponsorship: Not available for new sponsorships; visa transfers may be considered for the London office