ZipRecruiter

Log In

1

Neuroscience Data Scientist Jobs (NOW HIRING)

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

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

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

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

Jj

Principal Scientist Data Science

Cambridge, MA

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... hypertension, neuroscience, and infectious disease. Our goal is to help people live longer ...

Jj

Principal Scientist Data Science

Titusville, NJ · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... hypertension, neuroscience, and infectious disease. Our goal is to help people live longer ...

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56K - $57K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... As an Associate Data Scientist, you will be a core member of a high-performance team of data ...

AbbVie

Associate Scientist, Data II

North Chicago, IL · On-site

$65K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... As an Associate Data Scientist, you will be a core member of a high-performance team of data ...

Jj

Principal Scientist Data Science

Spring House, PA · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations: Barcelona, Spain ... hypertension, neuroscience, and infectious disease. Our goal is to help people live longer ...

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56K - $57K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... As an Associate Data Scientist, you will be a core member of a high-performance team of data ...

previous page

Showing results 41-60

All JobsNeuroscience Data Scientist Jobs

Neuroscience Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do neuroscience data scientist jobs pay per year?

As of Aug 18, 2026, the average yearly pay for 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.

What is a neuroscience data scientist?

A Neuroscience Data Scientist applies data science techniques to analyze and interpret complex neuroscience data. They work with large datasets from brain imaging, electrophysiology, genomics, and behavioral experiments to uncover insights about the brain and nervous system. Using machine learning, statistical modeling, and programming tools, they help researchers and healthcare professionals better understand neurological disorders, cognitive functions, and neural mechanisms. Their work often involves collaboration with neuroscientists, clinicians, and engineers to drive advancements in brain research and medical applications.

What are the key skills and qualifications needed to thrive as a neuroscience data scientist?

To thrive as a Neuroscience Data Scientist, you need a solid grounding in neuroscience or related biomedical sciences, advanced proficiency in statistics, and expert programming skills in languages such as Python or R. Experience with machine learning frameworks, neuroimaging analysis tools (like FSL or SPM), and familiarity with large datasets or cloud computing platforms is highly valued. Strong problem-solving abilities, clear communication, and collaborative teamwork are important soft skills in this field. These competencies empower you to analyze complex data, translate findings to stakeholders, and contribute meaningfully to impactful neuroscience research.

What are the main challenges neuroscience data scientists face in their day-to-day work?

Neuroscience Data Scientists often encounter challenges related to managing and analyzing extremely large and complex datasets, such as neuroimaging or electrophysiological data. Ensuring data quality, preprocessing, and standardization can be time-consuming and technically demanding. They frequently collaborate with multidisciplinary teams, requiring effective communication to bridge knowledge gaps between data science and clinical neuroscience. Staying up to date with evolving analytical methodologies and regulatory standards is also crucial, making adaptability and a commitment to ongoing learning important for success in this role.

More about Neuroscience Data Scientist jobs

What cities are hiring for Neuroscience Data Scientist jobs?

Cities with the most 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 Neuroscience Data Scientist jobs?

States with the most job openings for Neuroscience Data Scientist jobs include:

What job categories do people searching Neuroscience Data Scientist jobs look for?

The top searched job categories for Neuroscience Data Scientist jobs are:

Neuroscience Data Scientist jobs near you
Infographic showing various Neuroscience Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Quantiply Corporation

San Jose, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Company Description
Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.
Job Description
In this role, you will be part of a brand new, trend setting Cognitive Intelligence team which is applying Machine learning and AI to solve complex, business critical problems in the financial services industries.
This position within the Cognitive Intelligence team presents a unique and rare opportunity to get in on the ground floor within a fast-growing business and help shape the technology, product, and business. As a real-time transactional intelligence service, our solutions have to be scalable, secure, efficient, and extremely fault-tolerant.
A successful candidate will bring: deep technical and software expertise; ability to define visionary, ground breaking products; desire to have an industry-wide impact; and an ability to work within a fast moving, startup environment to rapidly deliver services that drive broad business impact.
Responsibilities:
  • Apply your expertise in designing, implementing and validating unsupervised deep learning, reinforcement learning and bayesian models.
  • Present exploratory findings to both, technical and management teams, verbally and in writing.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Engage in collaborating across team members to meet research and product goals.
  • Influence product features and product roadmap through exploratory analysis.

Qualifications
Minimum qualifications:
  • PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field.
  • Strong knowledge of mathematics.
  • Strong knowledge of machine learning and statistics.
  • Strong knowledge of designing algorithms.
  • Some experience in Python and Tensorflow.

Preferred qualifications:
  • Strong knowledge of deep learning.
  • Strong knowledge of reinforcement learning.
  • Strong experience in Tensorflow or similar frameworks.
  • Working experience in C++.

Additional Information
All your information will be kept confidential according to EEO guidelines.

Apply