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Neuroscience Engineering Jobs in California (NOW HIRING)

... engineers and researchers, to design experiments to optimize next-generation neural decoding approaches. About You * PhD/postdoc in neuroscience or a related field. * Extensive experience in ...

Staff Software Engineer

Emeryville, CA · On-site

$200K - $500K/yr

... pursuing a neuroscience-informed approach to engineering AGI. This is not yet-another-lab scaling LLMs in a hope of achieving general intelligence. We are integrating neuroscience, AI, and ...

... pursuing a neuroscience-informed approach to engineering AGI. This is not yet-another-lab scaling LLMs in a hope of achieving general intelligence. We are integrating neuroscience, AI, and ...

PhD in neuroscience, cognitive, behavioral or medical sciences, biology, biomedical engineering, or a related field, or equivalent research experience. Compensation The posted salary range is based ...

... engineering AGI. This is not yet‑another‑lab scaling LLMs in a hope of achieving general intelligence. We are integrating neuroscience, AI, and bioengineering to understand and digitally model ...

Responsibilities : • Propose new circuits to engineering team. • Developing coding mechanisms ... Required : • A PhD in computational neuroscience or neuroinformatics with a regarded research ...

Senior Software Engineer

Emeryville, CA · On-site

$100K - $400K/yr

... neuroscience tomorrow. You have a track record of diving into complex domains and mastering them quickly. * Mastery of Hard Problems: You have a track record of tackling difficult engineering ...

A degree in Computer Science or similar engineering discipline * You do not need prior experience with ultrasound or neuroscience * Shipped products that deliver value in the real world; ideally, you ...

A degree in Computer Science or similar engineering discipline * You do not need prior experience with ultrasound or neuroscience * Shipped products that deliver value in the real world; ideally, you ...

Showing results 41-60

Neuroscience Engineering information

See California salary details

$34.5K

$91.7K

$170.7K

How much do neuroscience engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for neuroscience engineering in California is $91,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $112,500.00 per year, depending on experience, location, and employer.

What is neuroscience engineering?

Neuroscience engineering is an interdisciplinary field that combines principles of neuroscience and engineering to study, model, and manipulate the nervous system. Professionals in this field develop technologies such as brain-computer interfaces, neural implants, and devices for diagnosing or treating neurological disorders. They work at the intersection of biology, electronics, computer science, and mathematics to advance our understanding of the brain and develop innovative medical or research solutions. This field is critical for advancements in neuroprosthetics, neuroimaging, and therapies for conditions like epilepsy or paralysis.

What are the key skills and qualifications needed to thrive as a neuroscience engineer?

To thrive as a Neuroscience Engineer, you need a strong background in neuroscience, biomedical engineering, and computational modeling, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or MATLAB), neuroimaging tools (like fMRI or EEG), and data analysis software is essential. Problem-solving, interdisciplinary collaboration, and effective communication are standout soft skills in this role. These competencies enable the development of innovative neural technologies and foster successful teamwork in complex research or clinical environments.

What are some common challenges faced by professionals in neuroscience engineering, and how can they be addressed?

One common challenge in Neuroscience Engineering is navigating the interdisciplinary nature of the field, as it requires collaboration between neuroscientists, engineers, and clinicians. Professionals often need to bridge gaps in communication and coordinate complex research or development projects across different domains. Staying current with advances in both neuroscience and engineering can also be demanding. Building strong cross-functional teams, actively engaging in continuous learning, and fostering open communication channels are effective ways to address these challenges.

What is the difference between Neuroscience Engineering vs Biomedical Engineering?

AspectNeuroscience EngineeringBiomedical Engineering
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Biomedical Engineering, Bioengineering, or related fields
Work EnvironmentResearch labs, healthcare tech companies, universitiesHospitals, medical device companies, research institutions
Industry UsageFocuses on neural systems, brain-computer interfaces, neurotechnologyDesigns medical devices, prosthetics, imaging systems
Common Search/ComparisonNeuroscience Engineering vs Biomedical Engineering

Neuroscience Engineering and Biomedical Engineering share overlapping skills and work environments, but Neuroscience Engineering specializes in neural systems and neurotechnology, while Biomedical Engineering covers a broader range of medical devices and systems. Both fields are vital in advancing healthcare technology and often collaborate in research and development.

Can you go into engineering with a neuroscience degree?

Neuroscience engineering is an interdisciplinary field that combines neuroscience with engineering principles, and individuals with a neuroscience degree can pursue careers in biomedical engineering, neural engineering, or neurotechnology. Gaining skills in programming, electronics, and data analysis, along with relevant internships or certifications, can enhance employment prospects in engineering roles related to neuroscience.

What does a neuroscience engineering do?

A neuroscience engineer designs and develops technologies to study and interface with the nervous system, such as neural implants, brain-computer interfaces, and neuroprosthetics. They often work with interdisciplinary teams, utilize tools like electrophysiology and imaging, and require knowledge of neuroscience, engineering principles, and programming. Their work supports medical treatments, research, and the development of assistive devices.

What are popular job titles related to Neuroscience Engineering jobs in California?

For Neuroscience Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Neuroscience Engineering jobs in California look for?

The top searched job categories for Neuroscience Engineering jobs in California are:

What cities in California are hiring for Neuroscience Engineering jobs?

Cities in California with the most Neuroscience Engineering job openings:

Infographic showing various Neuroscience Engineering job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $91,739 per year, or $44.1 per hour.

Scientist II, Bioinformatics QC

Aspen Neuroscience

San Diego, CA

Full-time

Dental

Re-posted 25 days ago


Job description

Aspen Neuroscience is seeking a Scientist II, Bioinformatics QC to join our team. In this role you will be taking ownership of a critical priority, bringing together multiple teams and ensuring the quality of our product, contributing directly to delivering novel cell therapy to patients. You will be responsible for applying bioinformatics and genomics expertise supporting Quality Control operations for clinical-stage cell therapy manufacturing. In being responsible for executing and analyzing multi-omics QC workflows, as well as improving our bioinformatics processes, you will directly impact & influence the lives of patients with Parkinsons Disease. This is an on-site role in Torrey Pines, CA that requires flexibility and availability for weekend and holiday work as needed. Relocation is not available.

DUTIES AND RESPONSIBILITIES:

  • Execute bioinformatics QC analyses across multi-omics assays (e.g., RNA-seq, WGS, structural variation, epigenetic profiling) to support product quality assessment and release
  • Analyze and interpret data against established acceptance criteria; escalate atypical results and support investigation activities
  • Prepare and maintain compliant documentation supporting QC review, deviation investigations, and audit readiness
  • Support root cause analysis and re-analysis workflows for QC deviations and process excursions
  • Maintain traceability of data, methods, and outputs in alignment with GMP and data integrity expectations
  • Collaborate with QC, QA, Manufacturing, and R&D teams to support sample processing timelines and data delivery
  • Contribute to process improvements, workflow optimization, and automation initiatives for bioinformatics QC
  • Assist in development and evaluation of new analytical methods to support characterization of product lots and intermediates
  • Support qualification and validation activities for bioinformatics pipelines and systems

EDUCATION AND EXPERIENCE:

  • PhD in Bioinformatics, Genomics, Computational Biology, or related field (or equivalent combination of education and relevant experience)
  • Hands-on experience with NGS data analysis pipelines (RNA-seq, WGS, or similar)
  • 3 or more years of experience working in the life sciences industry or other regulated environments (GMP/GxP), including understanding of data integrity expectations

 

JOB SPECIFICATIONS:

  • Genomics Expertise: Strong understanding of human genetics and genomics, including variant analysis, gene expression, and structural variation in applied settings
  • Programming: Proficiency in scripting and data analysis tools (e.g., Python, R, Bash) to support reproducible workflows
  • Data Quality: Excellent attention to detail with demonstrated ability to produce accurate, high-quality, and traceable datasets
  • QC/QA Processes: Familiarity with QC and QA workflows, documentation practices, and audit readiness requirements
  • Biological Interpretation: Ability to interpret biological and genomics data in clinical or translational contexts to support QC decision-making
  • Communication: Strong written and verbal communication skills, with the ability to clearly document and explain analytical methods and results
  • Scientific Judgment: Comfort working with ambiguity and applying scientific reasoning to analyze and troubleshoot real-world datasets
  • Validation & Systems: Exposure to qualification and validation of bioinformatics systems and pipelines in regulated environments
  • Workflow Design: Ability to contribute to the design, improvement, and scaling of bioinformatics workflows and organizational systems

 

WORKING CONDITIONS

Office and Lab environment. While performing the duties of this Job, the employee is frequently exposed to toxic or caustic chemicals. This is an indoor position requiring the ability to perform experiments in the laboratory, and type and use a computer. No Cleanroom access needed

 

PHYSICAL DEMANDS

While performing the duties of this Job, the employee is regularly required to stand; walk; sit; use hands to finger, handle, or feel; reach with hands and arms and talk or hear. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. These work environment characteristics are representative of the environment the job holder will encounter. Reasonable accommodation may be made to enable people with disabilities to perform the essential functions of the job.

 

EEO and Employment Eligibility:

Aspen Neuroscience is committed to providing equal employment opportunities to all employees and job applicants and prohibits discrimination and harassment of any type. We are committed to creating an inclusive environment for all employees. Aspen is not able to provide visa sponsorship for this role. Applicants must have valid work authorization that does not require employer sponsorship now or in the future.

Total Rewards and Culture:

Aspen Neuroscience, Inc., located in scenic Torrey Pines, is noted for its collaborative and learning focused culture where each person is valued for contributing their strengths and energy to building a world-class line of products for patients in need. The company offers a competitive total compensation package, time-off in addition to Company observed holidays, Medical/Dental insurance benefits, onsite gym, and other wellness perks.

The anticipated salary range for candidates who will work in San Diego is $129,600-$158,400 annually. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the industry, education, etc.  Aspen Neuroscience is multi-state employer, and this salary range may not reflect positions that work in other states.