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Cognitive Neuroscience Jobs Remote Jobs (NOW HIRING)

If so, join our mission-driven team at The Nectar Group as a Remote Cognitive & Academic Coach ... You'll be trained in a powerful neuroscience-based curriculum with proven results. * You'll be part ...

$26.50 - $35.25/hr

... and remote research settings,including administration of cognitive, behavioral, functional, and ... neurology, neuroscience, psychology, aging, or related clinical research settings. Duties and ...

Our digital cognitive assessments are trusted by researchers, clinicians, and pharmaceutical ... Remote Work Practices: Cogstate is a virtual first company. Cogstate employees can work from ...

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Cognitive Neuroscience Jobs Remote information

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How much do cognitive neuroscience jobs remote jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for cognitive neuroscience jobs remote in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

Can a neuroscientist work from home?

Neuroscientists can work remotely in roles such as data analysis, writing, or research planning, especially if their work involves computer-based tasks. However, laboratory-based experiments and clinical work typically require on-site presence, making full remote work less common in those areas.

What is the difference between Cognitive Neuroscience Jobs Remote vs Cognitive Psychology Jobs Remote?

AspectCognitive Neuroscience Jobs RemoteCognitive Psychology Jobs Remote
Required CredentialsMaster's or PhD in neuroscience, psychology, or related fieldsMaster's or PhD in psychology or cognitive science
Work EnvironmentResearch labs, universities, healthcare institutions, remote research rolesAcademic settings, research institutions, remote data analysis roles
Employer & Industry UsageUniversities, research centers, biotech companiesUniversities, research organizations, mental health clinics
Common Search & Comparison IntentUnderstanding roles involving brain function and neural mechanismsRoles focused on mental processes and behavior without direct neural focus

While both roles involve understanding mental processes, Cognitive Neuroscience Jobs Remote focus on brain mechanisms and neural data, often requiring neuroscience credentials. Cognitive Psychology Jobs Remote emphasize mental processes and behavior, typically with psychology backgrounds. The choice depends on your interest in neural data versus behavioral analysis.

What are remote cognitive neuroscience jobs?

Remote cognitive neuroscience jobs are roles in the field of cognitive neuroscience that can be performed from locations outside of a traditional office or laboratory setting. These roles typically involve research, data analysis, teaching, consulting, or writing, and may include positions such as remote research assistants, data analysts, or scientific writers. Advances in technology and data-sharing platforms have made it increasingly possible for professionals to contribute to cognitive neuroscience projects from anywhere in the world. Remote positions are ideal for those who need flexibility or wish to collaborate with international teams.

What are some common challenges faced by remote cognitive neuroscience professionals, and how can they address them?

Remote cognitive neuroscience professionals often encounter challenges such as limited access to laboratory equipment, coordinating with research teams across different time zones, and maintaining effective communication for collaborative projects. To address these issues, professionals can leverage virtual lab platforms, schedule regular video meetings, and use collaborative tools for data analysis and manuscript preparation. Building a strong online network and staying engaged with the wider research community through webinars and digital conferences also helps maintain professional growth and collaboration.

Is Cognitive Neuroscience in demand?

Cognitive neuroscience jobs are in demand due to increasing interest in understanding brain functions and developing applications in healthcare, AI, and education. Roles often require strong research skills, knowledge of neuroimaging tools, and advanced degrees such as a Ph.D. or neuroscience-related certifications.

What are the key skills and qualifications needed to thrive in a remote cognitive neuroscience job, and why are they important?

To thrive in a remote cognitive neuroscience job, you typically need an advanced degree (such as a Ph.D. or master's) in neuroscience, psychology, or a related field, along with a strong background in experimental design and data analysis. Proficiency with statistical software (e.g., SPSS, R, MATLAB), neuroimaging tools (such as fMRI or EEG analysis software), and familiarity with remote collaboration platforms are essential. Strong written communication, self-motivation, and the ability to work independently are standout soft skills for remote roles. These competencies are crucial for conducting rigorous research, analyzing complex data, and collaborating effectively with distributed teams.

What jobs can I get with Cognitive Neuroscience?

With a background in cognitive neuroscience, you can pursue roles such as research scientist, neuroimaging analyst, clinical neuropsychologist, or cognitive data analyst. These jobs often require skills in experimental design, data analysis, and familiarity with neuroimaging tools like MRI or EEG, and may involve working in academic, healthcare, or industry settings.
Infographic showing various Cognitive Neuroscience Jobs Remote job openings in the United States as of July 2026, with employment types broken down into 25% Full Time, 50% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,724 per year, or $21.5 per hour.

Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry

Jj

San Diego, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 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:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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.
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 athttps://www.jnj.com/innovative-medicine

Johnson & Johnson Innovative Medicine is recruiting for Senior Manager, R&D Data, Data Science, and AI - Digital Health for Neuropsychiatry to be located at one of our sites inCambridge, MA, Raritan, NJ, Titusville, NJ, Spring House, PA, or San Diego, CA (La Jolla area).


This Senior Manager will join the Neuroscience Data, Data Science, and AI (DDSAI) team to advance digital health innovation for neuropsychiatry and accelerate development of novel treatments. The role combines hands-on data science leadership in partnership with the Neuroscience clinical and regulatory teams, as well as collaboration with academic, technology, and pre-competitive partners. The leader will help develop, validate, and operationalize digital tools, novel endpoints, patient stratification approaches, and evidence strategies for mood, psychotic, cognitive, and related neuropsychiatric disorders.


Key Responsibilities

  • Digital Health Strategy: Partner with cross-functional teams to define a neuropsychiatric digital health roadmap that integrates AI/ML (e.g., foundation models), data science, and company priorities across the patient journey, ensuring clinical relevance and patient-centered outcomes.
  • Digital Health Landscape: Monitor emerging technologies in neuropsychiatry, digital phenotyping, remote assessment, passive sensing, and speech and language analytics to bring forward next-generation solutions for neuropsychiatry R&D.
  • Digital Endpoints & Tools: Execute the neuropsychiatry-focused digital health strategy by applying AI/ML, modeling, and longitudinal analytics to support patient stratification, endpoint development, and clinical trial optimization, in partnership with disease experts, statisticians, and platforms and clinical teams on study design and validation of digital measures, balancing their informativeness with low clinical burden for patients and study teams.
  • Advanced Statistical Modeling: Develop and apply sophisticated statistical/ML/AI models using digital health data to generate insights into disease and treatment outcomes. Leverage longitudinal disease modeling, Bayesian methods, and causal inference techniques to inform decision-making.
  • Multimodal Integration: Develop multimodal approaches combining digital health data with imaging, blood-based biomarkers, omics, and real-world data to provide a more holistic picture of patients suffering from neuropsychiatric disease.
  • Evidence Generation: Contribute to evidence packages to support regulatory qualification of digital endpoints and tools.
  • Regulatory: Ensure validation and compliance with evolving global regulatory and data privacy standards.
  • Internal Leadership: Collaborate with clinical operations to integrate digital health technologies into trial design, working cross-functionally to optimize data capture, integration, and interoperability of digital solutions.
  • External Leadership: Partner with regulatory and medical affairs to build external collaborations with academic groups, technology partners, regulators, health authorities, and payers to advance digital health standards and novel endpoints.


Qualifications

  • Advanced degree (PhD, MD, or equivalent) in neuroscience, psychology, psychiatry, cognitive neuroscience, biomedical engineering, data science, biostatistics, or a related quantitative or clinical field.
  • 6+ years of experience in pharmaceutical, biotech, or healthcare analytics.
  • Experience in clinical development, digital health technologies, outcome assessments, biomarkers, or patient stratification approaches in clinical research, with demonstrated expertise in neuropsychiatry (preferred).
  • Experience with biostatistics, machine learning, digital health data such as speech, language, behavior, sensor, and/or neuroimaging data, multimodal digital data integration, and longitudinal analysis.
  • Track record developing and validating digital health tools, endpoints, or biomarkers.
  • Familiarity with data standards, privacy regulations, and regulatory pathways for digital measures; experience supporting regulatory submissions (strong plus).
  • Experience integrating digital solutions into patient recruitment, screening, and clinical trial operations.
  • Excellent cross-functional leadership, communication, and collaboration skills.
  • Track record of scientific contributions, including presentations and publications.


This position will be located on site at one of our offices in either Cambridge MA, Titusville NJ, Raritan NJ, Spring House PA, or San Diego, CA (No fully remote option available). Occasional travel for crossfunctional workshops, and team meetings may be required.

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, external applicants please contact us via https://www.jnj.com/contact-us/careers, internal employees contact AskGS to be directed to your accommodation resource.


If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

The anticipated base pay range for this position is $137,000 to $235,750. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).

Employees are eligible for the following time off benefits:
Vacation - up to 120 hours per calendar year
Sick time - up to 40 hours per calendar year
Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
Additional information can be found through the link below.https://www.careers.jnj.com/employee-benefits

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.


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Required Skills:

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Cross-Functional Collaboration, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Negotiation, Organizing, Predictive Modeling, Process Improvements, Product Portfolio Management, Technical Credibility