ZipRecruiter

Log In

1

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 ...

ARA

Junior Data Scientist

Alexandria, VA · On-site

... Junior Data Scientist to support a multi-disciplinary team providing data analysis and ... Bachelor's degree in data science, statistics, computer science, mathematics, or a related field ...

Cushman & Wakefield

Junior Data Scientist

Austin, TX

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ...

Cushman & Wakefield

Junior Data Scientist

Denver, CO

The Junior Data Scientist will support the development and evolution of Cushman and Wakefield ... This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate ...

next page

Showing results 1-20

All JobsJunior Data Science Neuroscience Jobs

Junior Data Science Neuroscience information

See salary details

$29.5K

$66.7K

$118.5K

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

As of Jul 4, 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Junior data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

Can data scientists make $300k?

Senior data scientists, including those working in neuroscience, can earn $300,000 or more annually, especially with extensive experience, advanced skills in machine learning and statistical analysis, and work in high-paying industries or companies. Entry-level or junior data scientists typically earn lower salaries, with significant increases possible as they gain expertise and responsibilities.

What are the key skills and qualifications needed to thrive as a Junior Data Science Neuroscience professional, and why are they important?

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.

Is data science used in neuroscience?

Data science is extensively used in neuroscience, with data scientists analyzing large datasets such as brain imaging, electrophysiological recordings, and genetic information to understand brain function and disorders. Junior data science roles in neuroscience often involve applying machine learning, statistical analysis, and programming skills to interpret complex biological data.

What are entry level neuroscience jobs?

Entry-level neuroscience jobs include roles such as research assistant, laboratory technician, or data analyst in neuroscience or related fields. These positions often require a bachelor's degree in neuroscience, biology, or a related discipline, and may involve working with neuroimaging tools, data analysis software, or assisting in experiments.

What is a Junior Data Science Neuroscience role?

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.
More about Junior Data Science Neuroscience jobs
What cities are hiring for Junior Data Science Neuroscience jobs? Cities with the most Junior 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 Junior Data Science Neuroscience jobs? States with the most job openings for Junior Data Science Neuroscience jobs include:
What job categories do people searching Junior Data Science Neuroscience jobs look for? The top searched job categories for Junior Data Science Neuroscience jobs are:
Junior Data Science Neuroscience jobs near you
Infographic showing various Junior Data Science Neuroscience job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 29% Part Time, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,690 per year, or $32.1 per hour.
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Posted 13 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.

Powered by JazzHR

zgeXJrIL38