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Full Time Neuroscience Data Scientist Jobs (NOW HIRING)

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 713 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 714 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 716 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

ManTech International

Data Scientist

Arlington, VA · On-site

... Type Full time Description & Requirements Elevate your career with MANTECH International ... As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 712 Locations USA-VA-Arlington Posting Date 06/12/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

Elder Research

Data Scientist

Arlington, VA · On-site

Data Scientist General Information Requisition # 674 Locations USA-VA-Arlington Posting Date 03/04/2026 Security Clearance Required - IRS MBI Remote Type Hybrid Time Type Full time Description ...

IQUASAR LLC

DATA SCIENTIST

San Diego, CA · On-site

One of our clients in San Diego, CA, needs a Data Scientist for a full-time position. Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Willingness to work full time in a hybrid work environment in theWashingtonDC area. * Bachelor's or Master'sDegree in a technical field (e.g., data science, statistics, computer science, mathematics ...

CACI

Data Scientist

Tampa, FL · On-site

Data Scientist Job Category ... Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ...

New

iQuasar LLC

DATA SCIENTIST

San Diego, CA · On-site

$120K - $150K/yr

One of our clients in San Diego, CA, needs a Data Scientist for a full-time position. Position: Data Scientist (Machine Learning Engineer) Location: San Diego, CA Clearance Level: Secret iQuasar is ...

Proctor & Gamble

Data Scientist

Cincinnati, OH · On-site

$85K - $122K/yr

As a Data Scientist in our organization, you will play a crucial role in disrupting current ... Job Schedule Full time Job Number R000135859 Job Segmentation Entry Level Starting Pay / Salary ...

ManTech International

Data Scientist

Arlington, VA · On-site

... Type Full time Description & Requirements Elevate your career with MANTECH International ... As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax ...

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All Jobsfull time JobsFull Time Neuroscience Data Scientist Jobs

Full Time Neuroscience Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do full time neuroscience data scientist jobs pay per year?

As of Sep 1, 2026, the average yearly pay for full time 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 does a full time neuroscience data scientist do?

A Full Time Neuroscience Data Scientist analyzes complex brain-related data to uncover patterns and insights that help advance our understanding of the nervous system. They use statistical methods, machine learning, and computational tools to process large datasets from experiments such as brain imaging or electrophysiology. Their work often supports research in neuroscience, helps develop new diagnostic tools or treatments, and contributes to scientific publications. In addition, they collaborate with neuroscientists, clinicians, and engineers to interpret results and improve data analysis methodologies.

What are the key skills and qualifications needed to thrive as a full time neuroscience data scientist, and why are they important?

To excel as a Full Time Neuroscience Data Scientist, you need a solid background in neuroscience, statistics, and data analysis, often supported by an advanced degree in a related field. Familiarity with programming languages such as Python or R, experience with machine learning frameworks, and proficiency in neuroimaging analysis tools like MATLAB or FSL are typically required. Strong problem-solving ability, critical thinking, and effective communication are crucial soft skills for interpreting complex data and sharing findings with interdisciplinary teams. These skills and qualities enable you to extract meaningful insights from large, complex datasets, ultimately advancing research and clinical understanding in neuroscience.

How do full time neuroscience data scientists typically collaborate with interdisciplinary teams in research settings?

Full Time Neuroscience Data Scientists often work closely with neuroscientists, clinicians, engineers, and software developers to analyze complex brain data. Collaboration usually involves regular meetings to discuss experimental design, data interpretation, and the implementation of computational models. Effective communication is key, as you’ll need to translate technical analyses into actionable insights for team members from diverse backgrounds. This interdisciplinary environment fosters continuous learning and provides opportunities to contribute to impactful discoveries in neuroscience.
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Full Time Neuroscience Data Scientist jobs near you
Infographic showing various Full Time 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Elder Research

Arlington, VA • On-site

Full-time

Re-posted 28 days ago

Job description

Data Scientist
General Information
Requisition # 713
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service's mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
  • Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration
  • Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation
  • Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science�driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders
  • Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results
  • Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact
  • Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment
  • Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills

Minimum Qualifications:
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences
  • 2-10+ years of experience in data science, analytics, or a related technical field
  • Experience using version control systems (e.g., Git) and collaborative development practices
  • Strong understanding of relational databases and SQL
  • Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone
  • Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges
  • Willingness to travel and work on-site at client locations as required by project needs

Preferred Qualifications:
  • Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)
  • Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS
  • Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities
  • Experience with containerization and environment management (e.g., venv, conda)
  • Experience operating in secure or remote government environments, including use of bash and command-line tools

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.

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