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Research Scientist - Computational Neuroscience Astera Institute in Emeryville, CA

Job in Emeryville, Alameda County, California, 94608, USA
Listing for: Remote Co.
Full Time position
Listed on 2026-10-06
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Biomedical Science
Salary/Wage Range or Industry Benchmark: 90000 - 200000 USD Yearly USD 90000.00 200000.00 YEAR
Job Description & How to Apply Below
Title

Research Scientist - Computational Neuroscience

Location

Emeryville HQ CA

Employment Type

Full time Remote

Department

Projects

Job Description

About Astera:
Astera is a private foundation on a mission to steer science and technology toward an abundant future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to dramatically accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive scientific progress.

Unlike traditional non-profit research organizations, projects supported by Astera operate like high-velocity startups, allowing us to focus on ambitious goals, match structure to problem, and attract strong technical talent and leadership. You can read more about our mission, vision, and programming here.

Position Summary

Astera Institute is seeking a Research Scientist in Computational Neuroscience to develop computational models of neural circuits and brain function.

Responsibilities
  • Read, analyze, and synthesize neuroscience, cognitive science, and computational neuroscience literature.
  • Develop biologically plausible computational models of neural circuits, brain regions, and large-scale brain systems.
  • Compare model predictions with experimental data and refine models accordingly.
  • Develop novel algorithms inspired by biological neural computation.
  • Analyze large-scale neural and behavioral datasets to inform and evaluate computational models.
  • Stay current with advances in neuroscience, machine learning, and computational modeling.
  • Propose and pursue original research directions that advance our understanding of brain computation.
  • Make novel scientific contributions to computational neuroscience through the development of new theories and models.
  • Document research findings and communicate results through technical reports, publications, and presentations.
Qualifications and Experience
  • Experience programming in Python
  • Familiarity with scientific computing libraries such as Jax, Pytorch, Num Py, Sci Py, or similar tools
  • Research experience in systems, computational, and theoretical neuroscience.
  • Experience working with data analysis, statistics, or machine learning workflows
  • Ability to work independently and communicate technical findings clearly
Preferred Qualifications
  • Experience with machine learning or dynamical systems modeling
  • C++ programming experience is a strong bonus
  • Familiarity with Linux, Git, and high-performance computing environments
Nice-to-Have Areas of Interest
  • Neural circuit modeling
  • Synaptic plasticity and learning
  • Large-scale brain simulations
  • Data-driven modeling of neural systems
  • Interest in wet lab experiments to collect more data or test theories
Education

Ph.D. or equivalent demonstrated expertise in Computational Neuroscience, Neuroscience, Computer Science, Physics, Electrical Engineering, Applied Mathematics, or a related discipline.

Location

This position can be remote, hybrid, or onsite at our office in Emeryville, CA. Some travel may occasionally be required for collaboration and team events.

Compensation

The posted wage range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location.

  • $90K – $200K
Cultural Alignment
  • Surprising problem-solver – you love finding unexpected solutions to problems we don't even know we have, and see options where others only see constraints.
  • Flexible by default – you don't draw hard lines around your job description and expect your role to evolve significantly over 6–12 months.
  • Bias to action – you launch and iterate on thoughtful…
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