Research Scientist - Computational Neuroscience

Astera

• $110K — $130K *
Pharmaceuticals & Biotech
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. or equivalent expertise in a relevant field (Computational Neuroscience, Neuroscience, Computer Science, etc.).
  • Experience in programming with Python and familiarity with scientific computing libraries.
  • Research background in systems, computational, and theoretical neuroscience.
  • Skills in data analysis, statistics, or machine learning workflows.
  • Strong communication skills for conveying technical findings clearly.

Responsibilities

  • Read and synthesize literature in neuroscience and related fields.
  • Develop biologically plausible computational models for neural systems.
  • Compare model predictions against experimental data and iterate on models.
  • Create new algorithms inspired by biological neural computation.
  • Analyze large datasets to inform and refine computational models.
  • Stay updated on advances in neuroscience and machine learning.
  • Propose original research directions to enhance understanding of brain computation.

Benefits

  • Remote, hybrid, or onsite work flexibility in Emeryville, CA.
  • Opportunities for collaboration and team events requiring occasional travel.
Full Job Description
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, NumPy, SciPy, 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.
  • Benefits Summary

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