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Data Science Neuroscience Jobs in California (NOW HIRING)

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group ...

To support this mission, we are building a cross-functional data-science group which sits at the intersection of computational modeling, neuroscience, and biomolecular engineering. This group ...

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Minimum Qualifications BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field Hands-on experience in a data-oriented, experimentation-heavy role, ideally ...

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Showing results 1-20

Data Science Neuroscience information

See California salary details

$23.5K

$109.6K

$201.2K

How much do data science neuroscience jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science neuroscience in California is $109,574.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,774.00 and $152,759.00 per year, depending on experience, location, and employer.

What is data science in neuroscience?

Data Science in Neuroscience involves applying computational, statistical, and analytical methods to study the brain and nervous system. Data scientists in this field analyze large-scale datasets, such as brain imaging, genomic, or behavioral data, to uncover patterns and insights about neural function and disorders. They use machine learning, data visualization, and other quantitative tools to advance understanding of the brain, support research, and aid in clinical decision-making. This interdisciplinary role requires knowledge of neuroscience, computer science, and statistics.

How do data scientists in neuroscience typically collaborate with research teams and clinicians?

Data scientists in neuroscience often work closely with multidisciplinary teams that include neuroscientists, clinicians, and other data specialists. They are responsible for designing and implementing analytical pipelines, interpreting complex brain data, and translating findings into actionable insights for both research and clinical applications. Effective communication skills are crucial, as they must explain technical results to non-technical team members and adapt analyses based on evolving research questions. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and impacts both academic and medical advancements.

What are the key skills and qualifications needed to thrive as a data science neuroscience professional, and why are they important?

To excel as a Data Science Neuroscience professional, you need a strong background in neuroscience, statistics, and programming, often supported by an advanced degree in neuroscience, data science, or a related field. Familiarity with data analysis tools such as Python, R, MATLAB, machine learning frameworks, and neuroimaging software like SPM or FSL is typically required. Critical thinking, problem-solving, and the ability to communicate complex findings clearly make individuals stand out in this interdisciplinary role. These skills are vital for effectively analyzing large-scale neural data, generating insights, and facilitating collaboration between data scientists and neuroscientists.

Can I become a data science neuroscientist with a neuroscience degree?

A neuroscience degree provides a strong foundation for a data science neuroscience role, but additional skills in programming, statistics, and data analysis are typically required. Gaining experience with tools like Python, R, and machine learning, along with relevant certifications, can enhance your qualifications for this interdisciplinary field.

What are the most commonly searched types of Data Science Neuroscience jobs in California?

The most popular types of Data Science Neuroscience jobs in California are:

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

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

What cities in California are hiring for Data Science Neuroscience jobs?

Cities in California with the most Data Science Neuroscience job openings:

Infographic showing various Data Science Neuroscience job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,574 per year, or $52.7 per hour.

Postdoctoral Scholar, Neuroscience Precision Measures (Multimodal Neuroimaging for Clinical & Pat...

Jj

San Diego, CA

$52K - $70K/yr

Full-time

Retirement, PTO

Posted 22 days ago


Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.Learn more at jnj.com

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Career Programs

Job Sub Function:

Post Doc - Drug Discovery & Pre-Clinical/Clinical Development

Job Category:

Career Program

All Job Posting Locations:

San Diego, California, United States of America

Job Description:

Johnson & Johnson, is recruiting for a Postdoctoral Scholar, Neuroscience Precision Measures (Multimodal Neuroimaging for Clinical & Pathological Profiling) to be based in San Diego, CA.

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Our Neuroscience team tackles the world's toughest brain health challenges including multiple sclerosis, Alzheimer's disease, Parkinson's disease, myasthenia gravis, epilepsy, major depressive disorder, bipolar disorder, schizophrenia, and autism. This patient-focused team helps address some of the most complex diseases of our time.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are seeking a highly motivated Postdoctoral Scholar to advance Neuroscience Precision Measures through multimodal neuroimaging and integrative biomarker modeling in neurodegenerative disease. The successful candidate will leverage multimodal MRI to support clinical/cognitive diagnosis and progression modeling, identify imaging correlates of underlying pathology, and develop predictive models that combine fluid biomarkers, PET, and MRI to improve performance and interpretability in translational contexts. The successful candidate will worked in a matrixed environment and gain familiarity with biomarker deployment considerations in clinical development settings.

Key Responsibilities:

  • Develop and apply multimodal MRI measures to support clinical and cognitive diagnosis, disease staging, and longitudinal progression modeling.

  • Identify and quantify imaging correlates of pathology present in neurodegenerative diseases

  • Build multivariate models that integrate MRI + PET + fluid biomarkers to improve predictive performance, robustness, and biological interpretability.

  • Implement hands-on, scalable pipelines for data onboarding, quality control, processing, and feature engineering across large datasets.

  • Operate effectively in a matrixed environment, partnering with cross-functional scientists to learn about and contribute to the development and deployment of biomarkers in clinical trials.

  • Communicate results clearly through internal and external presentations and publications.

Required Qualifications:

  • PhD in Biomedical Science, Neuroscience, Biomedical Engineering, Data Science, or related field.

  • Strong record of imaging-related publications and scientific writing.

  • Expertise in at least one MRI modality (e.g., structural MRI, diffusion, fMRI, quantitative MRI).

  • Demonstrated ability to process data at scale (pipeline development; reproducible workflows).

  • Expertise in multivariate modeling (e.g., regularized regression, latent variable models, ensemble learning) and/or deep learning applied to neuroimaging/biomarkers.

Preferred Qualifications:

  • Experience with PET quantification and/or EEG analysis.

  • Experience integrating multimodal measures (imaging + biofluid + clinical/cognitive) and validating models on independent datasets.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or contact AskGS to be directed to your accommodation resource.

Required Skills:

Preferred Skills:

The anticipated base pay range for this position is :

$79,000.00 - $127,650.00

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation -120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado -48 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year
Holiday pay, including Floating Holidays -13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave - 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave - 80 hours in a 52-week rolling period10 days
Volunteer Leave - 32 hours per calendar year
Military Spouse Time-Off - 80 hours per calendar year
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits