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Junior Data Science Neuroscience Jobs (NOW HIRING)

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Define and enforce data science best practices -- modelling standards, experiment documentation, code review guidelines, and reproducibility requirements across the team * Mentor junior data ...

Lentech Inc.

Junior Data Scientist

Fort George G Meade, MD · On-site

$120K - $127K/yr

Lentech is actively interviewing for a JUNIOR Data Scientist * 1+ years of experience in statistics ... Bachelor's degree in Operations Research, Applied Mathematics, or Data Science About Lentech, Inc

Neptune

Senior Data Scientist

Duluth, GA · On-site

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

You will collaborate with Product Management and Engineering teams to translate business requirements into data science solutions, mentor junior data scientists, and drive Neptune's AI transformation ...

Kochava

Data Scientist

Sandpoint, ID · On-site

Required : • 3+ years of hands-on Data Science experience. A formal degree is not required if you ... junior data scientists or contributing to onboarding and training programs. • Experience ...

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Vangard, Inc.

Senior Data Scientist

Charlotte, NC · On-site

Mentors and develops junior data scientists and analysts. * Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps. * Engages with ...

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Junior Data Science Neuroscience information

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$29.5K

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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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Junior Data Science Neuroscience jobs near you
Junior Data Analyst

Junior Data Analyst

Lawrence Berkeley National Laboratory

Berkeley, CA • On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

Lawrence Berkeley National Laboratory is hiring a Junior Data Analyst within the Office of the Chief Financial Officer (OCFO).
Reporting to the Business Assurance Manager, this foundation level role within the Business Assurance group provides reporting and data analytics support to the Procurement Department. Under general supervision, the Analyst will apply basic principles, theories, and concepts to bridge procurement business reporting needs and technology by collecting, cleaning, and analyzing financial data to produce actionable insights, financial reports, and dashboards. This position will use SQL, Excel, and data visualization tools to analyze data, detect trends and anomalies, and help the procurement organization in the decision support and strategic decision making by creating and or updating queries/reports/dashboards etc.
The Junior Data Analyst will engage with the Business Systems Group in understanding the OCFO's Business Systems and related data architecture, tables and reporting options.
What Success Looks Like:
  • Precision: Take pride in data integrity and accuracy.
  • Efficiency: Look for ways to automate repetitive manual reporting, freeing up time for deeper exploratory analysis.
  • Curiosity: Don't just deliver a chart; ask follow-up questions that help the business pivot or grow.
  • Collaboration: Translate data into plain English for scientific division and operations' teams.

As a Junior Data Analyst, you are the "first responder" to data queries, and data deliverables for the Procurement Department to the Department of Energy or University of California.
We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Why join Berkeley Lab?
We invest in our employees by offering a total rewards package you can count on:
  • Exceptional health and retirement benefits, including pension or 401K-style plans
  • Opportunities to grow in your career - check out our Tuition Assistance Program
  • A culture where you'll belong - we are invested in our teams!
  • In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
  • Parental bonding leave (for both mothers and fathers)
  • Pet insurance

You will:
  • Assist with analyzing financial datasets to identify trends, patterns, and discrepancies; developing, maintaining, and automating reports and dashboards and utilize tools to identify trends and support data-driven decision-making.
  • Support the department in transforming raw data into actionable insights. The primary focus is on data maintenance, basic reporting, and assisting senior analysts with moderate Division projects.
  • Assist in gathering data from database sources. Perform regular data "hygiene" to identify, troubleshoot, and correct errors or inconsistencies in datasets.
  • Develop and maintain automated reports and dashboards using LBNL supported tools to track key performance indicators (KPIs).
  • Submit data reports to the Compliance team for DOE and UC reporting requirements.
  • Perform initial analysis to identify trends, correlations, and patterns in structured and unstructured data.
  • Maintain clear documentation of data definitions, analysis methodologies, and reporting processes to ensure data integrity across the organization.
  • Work alongside different departments to understand their data needs and provide basic analytical support for their specific queries.

We are looking for:
  • A Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, and a minimum of one year of professional experience in related fields.
  • 1 year of experience in a data-related role with a solid foundational background in quantitative fields.
  • Experience (through coursework or projects) using SQL to query databases and Excel for advanced data manipulation (VLOOKUPs, Pivot Tables).
  • Internships, capstone projects, or a verifiable portfolio that demonstrates the ability to handle real-world data.
  • Basic to intermediate knowledge of SQL (joins, subqueries, and data cleaning).
  • Familiarity with programming languages for data analysis
  • Exposure to data visualization tools (e.g., Power BI, Tableau, or Google Looker Studio).
  • The ability to break down a complex problem into smaller, manageable parts and approach it with a logical, step-by-step methodology.
  • Strong verbal and written communication skills, with the ability to explain technical findings to non-technical stakeholders clearly.
  • An obsessive eye for accuracy-ensuring that the "small numbers" add up before they reach the final report.
  • A "growth mindset" and a willingness to learn new tools and industries as the company's data needs evolve.
  • Ability to interpret data, conduct analysis, and provide actionable insights.
  • Knowledge of methods to research, interpret, analyze, compile, and present data and information
  • Knowledge of methods related to decision making, problem-solving and analytical.
  • Knowledge of data analytics to help search data and help analyze.

Desired skills/knowledge:
  • Experience using and troubleshooting PeopleSoft financials and supply chain management applications release 9.0 or higher.
  • Experience using PeopleSoft Query and SQL, Cognos reporting tools
  • Experience working for a large, Federal direct- and grant-funded research organization.
  • Professional certification or advanced education in management information systems, PeopleSoft Financials and Supply Chain 9.0 higher, and Reporting/Data Analytics applications like Cognos 12, Power BI, Google Analytics.

Additional information:
  • Application date: Priority consideration will be given to candidates who apply by June 17, 2026. Applications will be accepted until the job posting is removed.
  • Appointment type: This is a full-time career appointment, exempt (monthly paid) from overtime pay.
  • Salary range: The budgeted salary range for this position is $74,163 - $86,524 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.
  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work modality: This position is eligible for full-time telework. Individuals on a full-time telework schedule must reside within 150 miles of Berkeley Lab.
  • Work authorization: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not available for this position.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

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