ZipRecruiter

Log In

1

Data Science Neuroscience Jobs (NOW HIRING)

next page

Showing results 1-20

All JobsData Science Neuroscience Jobs

Data Science Neuroscience information

See salary details

$24K

$111.9K

$205.5K

How much do data science neuroscience jobs pay per year?

As of Jul 3, 2026, the average yearly pay for data science neuroscience in the United States is $111,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $156,000.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data science roles, including those in neuroscience, can reach salaries of $300,000 or more at senior levels or in high-cost-of-living areas, especially with extensive experience, advanced skills in machine learning, and strong domain expertise. Such compensation often includes bonuses, stock options, or other incentives, but is not typical for entry-level positions.

What is the highest paying job in neuroscience?

In neuroscience, the highest paying roles are often senior research directors, neuroscience department heads, or industry-focused roles such as pharmaceutical or biotech executive positions, which can offer six-figure salaries. These roles typically require advanced degrees, extensive experience, and leadership skills, often involving management of large teams or strategic decision-making.

How to become a neuroscience data scientist?

To become a neuroscience data scientist, one typically needs a strong background in neuroscience or biology combined with skills in data analysis, programming, and statistics, often through a master's or Ph.D. degree. Proficiency in tools like Python, R, and machine learning techniques is essential, along with experience working with neuroimaging or electrophysiological data.

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.

Is 40 too late for data science?

Data science roles, including those in neuroscience, do not have strict age limits; many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be gained through online courses, certifications, and practical experience regardless of age.

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.

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.
More about Data Science Neuroscience jobs
What cities are hiring for Data Science Neuroscience jobs? Cities with the most Data Science Neuroscience job openings:
What are the most commonly searched types of Data Science Neuroscience jobs? The most popular types of Data Science Neuroscience jobs are:
What states have the most Data Science Neuroscience jobs? States with the most job openings for Data Science Neuroscience jobs include:
What job categories do people searching Data Science Neuroscience jobs look for? The top searched job categories for Data Science Neuroscience jobs are:
Data Science Neuroscience jobs near you
Infographic showing various Data Science Neuroscience job openings in the United States as of June 2026, with employment types broken down into 8% As Needed, 8% Full Time, 61% Part Time, and 23% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $111,898 per year, or $53.8 per hour.

Principal Scientist, Data Science - Digital Media

Jj

Cambridge, MA • On-site

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

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

Job Category:

Scientific/Technology

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 R&D Data Science is recruiting for a Principal Scientist, Data Science

The primary location for this position is flexible - Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA

J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/

This role will serve as a strategic leader and subject-matter expert, defining the vision and execution strategy for data products within Medical Imaging and Digital Media. The role is responsible for advancing next-generation, data-driven capabilities that enable scalable insights and innovation across therapeutic and disease areas.

The position will lead critical workstreams in partnership with therapeutic and disease area teams, unlocking value through the integration of advanced data, technology, and domain expertise. The role will also reimagine existing processes, challenge the status quo, and drive modernization of imaging data ecosystems to improve efficiency and impact.

A strong foundation in medical imaging is essential, with the ability to translate complex, multi-modal imaging data into actionable data products and clinically relevant insights.

Responsibilities Include

  • Define Data Product Vision: Articulate an end-to-end strategy for imaging data products, spanning ingestion, curation, integration, and consumption.

  • Drive Data Product Delivery: Lead development and scaling of medical imaging data products aligned to clinical trial and therapeutic needs.

  • Enable Data Standards & Governance: Promote adoption of FAIR data principles and ensure compliance with regulatory, privacy, and ethical standards.

  • Partner with Domain Leaders: Collaborate with therapeutic and disease area teams to translate business needs into scalable data product solutions.

  • Lead Cross-functional Execution: Work across data science, engineering, clinical, and external partners (CROs/vendors) to deliver impactful outcomes.

  • Modernize Imaging Ecosystems: Drive transformation of imaging pipelines, platforms, and workflows to improve operational efficiency and scalability.

  • Expand Data Product Portfolio: Support strategic growth of imaging-focused data capabilities aligned to clinical development priorities.

Education

  • Master's degree required; PhD or equivalent preferred

  • Advanced degree in Imaging Health Sciences or related field

  • Background in Radiology, Diagnostic Imaging, Interventional Medicine, Medical Physics, or similar

Experience & Skills

  • 10+ years of experience in medical imaging and multi-modal data environments

  • Strong experience building and scaling data products or data platforms

  • Demonstrated leadership in cross-functional and vendor collaborations

  • Hands-on expertise in imaging data standards (e.g., DICOM), PACS, and multi-modal data pipelines

  • Familiarity with advanced analytics and AI/ML (e.g., computer vision) in imaging contexts

  • Ability to translate complex imaging data into business and clinical value

  • Strong stakeholder engagement across clinical trial teams, data stewards, and technology partners

  • Demonstrated credibility as a subject-matter expert in imaging (research, publications, or equivalent experience is a plus)

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 and 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 email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.

#LI-GR

#LI-Hybrid

#JRDDS

#JNJDataScience

#JRD

Required Skills:

Preferred Skills:

Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

The anticipated base pay range for this position is :

$117,000.00 - $201,250.00

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)).
This position is eligible to participate in the Company's long-term incentive program.
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
The following link to general company benefits information MUST also be included in the posting: Please use the following language:
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits

Apply