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Junior Data Science Neuroscience Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government ... Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related ...

Lprs

Senior Data Scientist

Boston, MA · On-site

$130 - $175/hr

... to junior staff, and monitor performance within the team. You should also harness your mastery of Data Science to consult on various aspects of these and other projects. Responsibilities

Find Data Science

Data Scientist

San Francisco, CA

Mentor junior data analysts and contribute to the development of their technical skills. * Document methodologies and processes to ensure that data science projects are scalable and sustainable ...

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and ... Quick learner who stays updated on emerging trends in data science and machine learning. * Enjoys ...

Voto Consulting LLC

Data Scientist

Arlington, VA · On-site

Mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. Qualifications * 7+ years of practical data science/data ...

AIToolboard

Data Scientist Level 3

Suitland, MD · On-site

$94.40 - $198.20/hr

... science, advanced machine learning techniques, and a proven track record of developing and implementing innovative data solutions. This role requires leadership skills to mentor junior data ...

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Junior Data Science Neuroscience information

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$29.5K

$66.7K

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How much do junior data science neuroscience jobs pay per year?

As of Aug 17, 2026, the average yearly pay for junior data science neuroscience in the United States is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.

What types of projects and collaborations can a junior data scientist expect in a neuroscience research team?

As a Junior Data Scientist in a neuroscience setting, you will typically work on projects that involve processing and analyzing large datasets, such as brain imaging or neural signal recordings. You can expect to collaborate closely with neuroscientists, clinicians, and senior data scientists to interpret results and contribute to experimental design. Your daily tasks may include data cleaning, statistical analysis, and developing machine learning models to uncover patterns related to brain function or disease. This role often offers excellent opportunities for learning and mentorship, as well as potential for growth into specialized or leadership positions as you gain experience.

What are the key skills and qualifications needed to thrive as a junior data science neuroscience professional?

A Junior Data Science Neuroscience professional should have a solid background in neuroscience or a related field, combined with proficiency in statistics, data analysis, and programming (typically Python or R). Experience with data visualization tools, machine learning libraries, and familiarity with neuroimaging software (such as SPM, FSL, or AFNI) are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help in interpreting complex datasets and collaborating across interdisciplinary teams. These skills are essential for extracting meaningful insights from neurological data and advancing research or clinical applications.

Can I become a data scientist with a neuroscience degree?

A neuroscience degree can provide a strong foundation for a data scientist role, especially if complemented with skills in programming, statistics, and data analysis tools like Python or R. Many data scientists have diverse academic backgrounds, and additional training or certifications in data science can enhance employability in this field.

What kind of job can I get with a BS in neuroscience?

With a BS in neuroscience, you can pursue roles such as research assistant, data analyst, or laboratory technician in healthcare, biotech, or academic settings. These positions often require skills in data analysis, programming, and understanding of biological systems, and may involve working with neuroimaging tools or statistical software.

What does a junior data science neuroscientist earn?

A junior data science neuroscientist typically earns between $60,000 and $80,000 annually, depending on location, education, and experience. Entry-level roles often require skills in programming, statistical analysis, and familiarity with neuroscience tools like MATLAB or Python.

What is a junior data science neuroscience?

A Junior Data Science Neuroscience role involves applying data science techniques to analyze and interpret complex neuroscience data. Professionals in this position typically work with large datasets from brain imaging, electrophysiology, or behavioral experiments to uncover patterns and insights about brain function. They often use programming languages like Python or R, statistical analysis, and machine learning algorithms under the supervision of senior scientists or data analysts. This role is ideal for early-career individuals with a background in neuroscience, data science, or a related field.
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Junior Data Science Neuroscience jobs near you
Infographic showing various Junior Data Science Neuroscience job openings in the United States as of August 2026, with employment types broken down into 71% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $66,690 per year, or $32.1 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 26 days ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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