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Junior Data Science Neuroscience Jobs (NOW HIRING)

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 ...

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 ...

... data science lifecycle, and contributing to strategic discussions. Responsibilities : • Develop & maintain data analytics solutions and machine learning algorithms. • Mentor junior data ...

... 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 ...

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and ... in data science and machine learning. • Enjoys solving challenging problems while keeping a ...

Applied Research Associates, Inc. (ARA) has an outstanding opportunity for a Junior Data Scientist ... data science, statistics, computer science, mathematics, or a related field with 2+ years ...

ROLE OVERVIEW As a Junior Data Scientist, you will contribute to the ML growth engine behind TIFIN ... WHAT YOU'LL BRING * 1-2+ years of experience in data science, ML engineering, or a related ...

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Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type: Fulltime Duration: 2 years Exp ... Master's Degree in Computer Science, Information Systems, Electrical Engineering, Mathematics, or a ...

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Junior Data Science Neuroscience information

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$29.5K

$66.7K

$118.5K

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

As of Jun 12, 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.

Is 30 too late for data science?

For a Junior Data Science Neuroscience role, starting a career at age 30 is not too late, as many data scientists transition careers or pursue additional education later in life. Success depends on acquiring relevant skills such as programming, statistics, and domain knowledge, which can be developed through online courses, bootcamps, or degrees regardless of age.

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 jobs can you get with a BS in neuroscience?

A BS in neuroscience can qualify you for roles such as research assistant, data analyst, neuroinformatics technician, or laboratory technician. These positions often require skills in data analysis, programming, and understanding of neural systems, and may involve working in research labs, healthcare settings, or biotech companies.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and company size. Junior data science roles often require proficiency in programming languages like Python or R and familiarity with machine learning tools, which can influence salary levels.

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.

What does a neuroscience data scientist do?

A neuroscience data scientist analyzes complex neurological data to uncover patterns and insights related to brain function and behavior. They use statistical methods, machine learning, and programming tools like Python or R to process imaging, genetic, or electrophysiological data, often working in research or clinical environments. Strong knowledge of neuroscience, data analysis, and coding is essential for this role.

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.
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What cities are hiring for Junior Data Science Neuroscience jobs? Cities with the most Junior Data Science Neuroscience job openings:
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What states have the most Junior Data Science Neuroscience jobs? States with the most job openings for Junior Data Science Neuroscience jobs include:
Junior Data Scientist

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Posted 20 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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