2

Remote Neuroscience Lab Technician Jobs (NOW HIRING)

next page

Showing results 1-20

Remote Neuroscience Lab Technician information

See salary details

$9

$25

$45

How much do remote neuroscience lab technician jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for remote neuroscience lab technician in the United States is $25.25, according to ZipRecruiter salary data. Most workers in this role earn between $19.23 and $27.88 per hour, depending on experience, location, and employer.

What are Remote Neuroscience Lab Technicians?

Remote Neuroscience Lab Technicians are professionals who support neuroscience research and laboratory operations from a remote location. Their responsibilities may include managing and analyzing data, maintaining digital lab records, assisting with virtual experiments, and troubleshooting lab equipment software. They play a critical role in ensuring the smooth operation of neuroscience studies that utilize online tools or require remote collaboration. This position often requires a background in neuroscience, biology, or a related field, and familiarity with laboratory protocols and data analysis software.

What is the difference between Remote Neuroscience Lab Technician vs Remote Medical Laboratory Technician?

AspectRemote Neuroscience Lab TechnicianRemote Medical Laboratory Technician
CredentialsTypically requires a neuroscience-related degree or certificationRequires medical laboratory technician certification (e.g., MLT, CLT)
Work EnvironmentConducts research and experiments in neuroscience labs or remotely via digital toolsPerforms diagnostic tests on patient samples, often remotely or in labs
Industry UsagePrimarily in research institutions, universities, biotech companiesHospitals, diagnostic labs, healthcare providers

Remote Neuroscience Lab Technicians focus on neuroscience research and experiments, often requiring specialized degrees, while Remote Medical Laboratory Technicians handle diagnostic testing in healthcare settings. Both roles may work remotely but serve different industry needs and require distinct certifications.

How does a Remote Neuroscience Lab Technician collaborate effectively with on-site researchers and team members?

As a Remote Neuroscience Lab Technician, you'll regularly coordinate with on-site researchers and other technicians through digital communication platforms such as video calls, project management tools, and secure data-sharing systems. Effective collaboration often involves scheduled check-ins, detailed documentation of your work, and prompt response to queries about data collection or analysis. You may be responsible for remote operation of lab equipment, analyzing data, or troubleshooting technical issues, so clear communication and proactive updates are key. Building strong virtual relationships ensures smooth workflow and helps you stay aligned with the team's goals and research timelines.

What are the key skills and qualifications needed to thrive as a Remote Neuroscience Lab Technician, and why are they important?

To thrive as a Remote Neuroscience Lab Technician, you need a background in neuroscience, biology, or a related field, along with experience in laboratory techniques and data analysis. Familiarity with lab management software, virtual lab equipment, and data analysis tools like MATLAB or Python is typically required. Strong attention to detail, problem-solving abilities, and effective remote communication skills are critical for managing experiments and collaborating with research teams. These skills and qualities ensure accurate data collection, efficient workflow, and seamless coordination in a remote research environment.
More about Remote Neuroscience Lab Technician jobs
What cities are hiring for Remote Neuroscience Lab Technician jobs? Cities with the most Remote Neuroscience Lab Technician job openings:
What are the most commonly searched types of Neuroscience Lab Technician jobs? The most popular types of Neuroscience Lab Technician jobs are:
What states have the most Remote Neuroscience Lab Technician jobs? States with the most job openings for Remote Neuroscience Lab Technician jobs include:
What job categories do people searching Remote Neuroscience Lab Technician jobs look for? The top searched job categories for Remote Neuroscience Lab Technician jobs are:
Infographic showing various Remote Neuroscience Lab Technician job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 66% Full Time, 22% Part Time, 8% Contract, and 2% Nights. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $52,516 per year, or $25.2 per hour.

Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology

Jj

Cambridge, MA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 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:

Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology to be located at one of our sites inCambridge, MA, Titusville, NJ, Spring House PA, or La Jolla, CA. Remote work arrangements may be considered on a case-by-case basis and if approved by the company.

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


Role Summary


We are seeking a visionary Director, R&D Neuroscience Data, Data Science & Artificial Intelligence - Ophthalmology to join the Neuroscience Data, Data Science & Artificial Intelligence (DDSAI) team. This leader will shape and execute innovative strategies leveraging multimodal data sources, digital health technologies, computer vision, artificial intelligence (AI), and clinical/real-world evidence (RWE) to accelerate drug discovery and development, and maximize patient impact. By combining ophthalmology expertise with strong data science acumen, this role will enhance clinical trial execution and ensure that new solutions are patient-centric and ready for regulatory and payer acceptance. As an integral member of a highly matrixed team, the Director will collaborate with cross-functional experts in the Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory Affairs, and Patient-Reported Outcomes, and forge strategic external partnerships to infuse new ideas and capabilities. This is a unique opportunity to redefine how we understand and treat eye diseases-uncovering novel digital biomarkers and endpoints, stratifying patients for more personalized care, and ultimately delivering better outcomes for people living with ophthalmic diseases.


Key Responsibilities

  • Innovative Data Analysis: Drive the development and application of advanced AI/ML methods, including cutting-edge computer vision techniques applied to ophthalmic imaging data (e.g., Optical Coherence Tomography and fundus images), to uncover disease mechanisms and identify novel biomarkers.
  • Digital Endpoints & Tools: Lead the development and validation of novel digital endpoints. Engage with regulatory stakeholders to ensure these innovations enhance clinical trial design, improve patient monitoring and care pathways, and meet regulatory requirements.
  • Advanced Statistical Modeling: Develop and apply sophisticated statistical models using real-world and clinical data to generate insights into disease progression, treatment outcomes, and patient stratification. Leverage longitudinal disease modeling, Bayesian methodologies, and causal inference techniques to inform decision-making.
  • Generative AI & Multimodal Integration: Apply emerging generative AI approaches to boost data analysis and knowledge discovery, integrating diverse multimodal datasets (imaging, clinical, wearable, etc.) for a more holistic understanding of ophthalmic diseases.
  • Real-World Evidence Integration: Partner with Clinical Development and Medical Affairs to integrate RWE into evidence generation strategies. Support trial optimization and regulatory submissions by incorporating insights from large-scale clinical datasets, electronic health records (EHRs), and other real-world data sources.
  • Collaboration & Leadership: Build strong cross-functional collaborations within the company and spearhead external partnerships with academic institutions, technology providers, regulators, and industry consortia.

Qualifications

  • An advanced degree (PhD, MD, or equivalent) in computational ophthalmology, neuroscience or a quantitative field such as biomedical engineering, data science, biostatistics, computational biology, or related discipline.
  • 8+ years of relevant industry or academic experience with a strong record of success in applying data science within biology/medicine, ideally influencing cross-disciplinary teams at the intersection of data science, biomedical research, and clinical development.
  • Experience in clinical development is required with experience in ophthalmology preferred.
  • Deep experience in computer vision and deep learning applied to biomedical imaging (especially ophthalmic imaging such as fundus photography and OCT). Familiarity with model validation, reproducibility, and regulatory considerations for AI tools in healthcare.
  • Experience working with large-scale, multimodal clinical datasets (including EHRs and sensor/wearable data). Proven skills in advanced statistical modeling (e.g., longitudinal analyses, Bayesian methods, causal inference) to glean meaningful insights from complex data.
  • Hands-on experience implementing digital health technologies-such as wearables, sensors, and mobile platforms-in clinical research or care settings. Understanding of how to operationalize these tools in clinical trials is a plus.
  • Proficiency in programming and data analysis tools/environments (e.g., Python, R, or comparable platforms) with a hands-on ability to develop and validate analytical workflows.
  • Excellent communication skills with the ability to translate complex data-driven insights into clear, actionable strategies for diverse stakeholders, including senior leadership, clinicians, and external partners.
  • A track record of scientific contributions demonstrated by relevant publications, conference presentations, or patents in fields such as data science, ophthalmology, or digital health.
  • Familiarity with healthcare data standards, data privacy regulations, and the pathways for regulatory qualification of novel digital endpoints or AI tools.


This position will be located on-site at one of our campuses in either Spring House PA, Cambridge MA, Titusville NJ, Raritan NJ, or San Diego, CA. Remote work arrangements may be considered on a case-by-case basis and if approved by the company. Occasional travel for crossfunctional workshops, design sessions, 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.
The anticipated base pay range for this position is $164,000 to $282,900. 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.


#LI-SL
#JNJDataScience
#JRDDS
#JNJIMRND-DS
#LI-Remote

Required Skills:

Preferred Skills:

Advanced Analytics, Business Case Modeling, Consulting, Data Privacy Standards, Data Science, Data Structures, Digital Fluency, Digital Strategy, End to End Implementation, Global Market, Master Data Management (MDM), Negotiation, Product Portfolio Management, Quality Control (QC), Resource Planning, Tactical Planning, Technical Credibility