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Remote Neuroscience Data Scientist Jobs (NOW HIRING)

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Remote Neuroscience Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do remote neuroscience data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote neuroscience data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How does a Remote Neuroscience Data Scientist typically collaborate with cross-functional teams, and what tools are commonly used for effective communication and project management?

As a Remote Neuroscience Data Scientist, you will often collaborate with neuroscientists, software engineers, and clinical researchers to analyze complex brain data and develop actionable insights. Communication and teamwork are facilitated through virtual meetings, shared code repositories (such as GitHub or GitLab), and project management platforms like Jira or Asana. Regular stand-ups and collaborative brainstorming sessions are common, ensuring everyone stays aligned despite working remotely. Familiarity with cloud-based data analysis tools and version control systems is essential for seamless integration with team workflows.

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

To thrive as a Remote Neuroscience Data Scientist, you need strong expertise in neuroscience, statistics, and data analysis, typically supported by an advanced degree in neuroscience, computer science, or a related field. Proficiency in programming languages (such as Python or R), machine learning frameworks, and neuroimaging analysis tools (like fMRI or EEG software) is essential. Excellent problem-solving, communication, and collaboration skills are vital for interpreting complex data and working effectively with multi-disciplinary teams in a remote setting. These skills enable accurate analysis, meaningful scientific contributions, and seamless teamwork despite physical distance.

What does a Remote Neuroscience Data Scientist do?

A Remote Neuroscience Data Scientist applies data analysis, machine learning, and statistical modeling techniques to neuroscience data, such as brain imaging or neural recordings, all while working from a remote location. They collaborate with neuroscientists and other researchers to extract insights from complex datasets, develop models to understand brain function, and contribute to scientific publications or product development. Their work often involves programming, data cleaning, visualization, and interpreting results to inform research or healthcare solutions.
More about Remote Neuroscience Data Scientist jobs
What cities are hiring for Remote Neuroscience Data Scientist jobs? Cities with the most Remote Neuroscience Data Scientist job openings:
What are the most commonly searched types of Neuroscience Data Scientist jobs? The most popular types of Neuroscience Data Scientist jobs are:
What states have the most Remote Neuroscience Data Scientist jobs? States with the most job openings for Remote Neuroscience Data Scientist jobs include:
Infographic showing various Remote Neuroscience Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

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

Jj

Titusville, NJ โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 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.


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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