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Remote Neuroscience Data Scientist Jobs (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Elder Research

Data Scientist

Raleigh, NC · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

Elder Research

Data Scientist

Arlington, VA · On-site +1

Data Scientist General Information Requisition # 694 Locations USA-VA-Arlington OR USA-NC-Raleigh Posting Date 05/08/2026 Security Clearance Required - NONE Remote Type Hybrid Time Type Full time ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

Mercor

Data Scientist

New York, NY · Remote

$70 - $100/hr

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology , statistical inference , and modeling best practices . * Design challenging ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

RealPage, Inc.

Data Scientist

Richardson, TX · Remote

$116K - $198K/yr

Overview We are looking for a Data Scientist to help design, build, and deploy machine learning and ... Experience building AI solutions that support customer facing products #LI-REMOTE #LI-JL1 Physical ...

SAIC

Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Conflux Systems

Data Scientist

$85/hr

Data Scientist Job Location: REMOTE Pay: $85/hr on W2 Duration: 12 months Long-term role with opportunities for hire CPG analytics background preferred. Digital Commerce Marketing Analytics ...

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All JobsRemote Neuroscience Data Scientist Jobs

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 15, 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:
What job categories do people searching Remote Neuroscience Data Scientist jobs look for? The top searched job categories for Remote Neuroscience Data Scientist jobs are:
Remote Neuroscience Data Scientist jobs near you
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.
Data Scientist - Remote

Data Scientist - Remote

NAVA Software Solutions

Houston, TX • On-site, Remote

Full-time

Posted 13 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Houston TX - Remote is ok
Duration: 12 months
Clients want a data scientist who can develop machine learning models to run forecast scenarios. Also, they want this person to be knowledgeable in AWS Cloud technology
A Data Scientist with physical pipeline experience typically specializes in analyzing and optimizing physical infrastructure pipelines, such as those used in the oil and gas industry or transportation networks. Here are some common job duties associated with this role:
  • Data collection and integration: Data scientists with physical pipeline experience gather data from various sources related to the infrastructure pipelines, such as sensors, SCADA (Supervisory Control and Data Acquisition) systems, or IoT devices. They integrate and consolidate the data for analysis and modeling.
  • Pipeline performance analysis: These professionals analyze the performance of physical pipelines by examining data related to flow rates, pressure levels, temperature, corrosion, and other relevant factors. They use statistical techniques and machine learning algorithms to identify patterns, anomalies, and potential issues that may affect pipeline operations.
  • Predictive modeling and maintenance optimization: Data scientists develop predictive models to forecast pipeline performance and detect potential failures or maintenance needs. They utilize historical data, sensor measurements, and other relevant parameters to train models that can predict future events, such as leaks, blockages, or equipment failures. By identifying critical maintenance requirements in advance, they can optimize maintenance schedules and minimize downtime.
  • Risk assessment and mitigation: Data scientists assess risks associated with physical pipelines, such as environmental hazards, security threats, or regulatory compliance. They develop risk assessment models and analyze the impact of different factors on pipeline safety and integrity. Based on these analyses, they propose mitigation strategies to minimize risks and ensure compliance with safety regulations.
  • Optimization of pipeline operations: Data scientists work on optimizing the operational efficiency of physical pipelines. They analyze data to identify areas of improvement, such as reducing energy consumption, optimizing transportation routes, or improving overall system performance. By applying data-driven approaches and algorithms, they provide recommendations to optimize pipeline operations and maximize efficiency.
  • Visualization and reporting: Data scientists with physical pipeline experience create visualizations, reports, and dashboards to communicate their findings and recommendations effectively. They present complex data in a visually understandable format, allowing stakeholders to make informed decisions regarding pipeline maintenance, operations, and risk management.
  • Collaboration with cross-functional teams: These professionals collaborate with engineers, domain experts, operations personnel, and other stakeholders involved in managing physical pipelines. They work together to understand the specific requirements, constraints, and challenges associated with the infrastructure. Effective communication and teamwork are essential to ensure alignment and successful implementation of data-driven solutions.
  • Continuous improvement and innovation: Data scientists keep up with the latest advancements in data science, machine learning, and pipeline technologies. They explore new methodologies, algorithms, and tools to enhance their skills and propose innovative solutions to address pipeline-related challenges.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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