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Entry Level Neuroscience Data Scientist Jobs (NOW HIRING)

SynergisticIT

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

Apple

ML Data - Research Scientist

Cupertino, CA · On-site

Minimum Qualifications BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field Hands-on experience in a data-oriented, experimentation-heavy role, ideally ...

Apple

ML Data - Research Scientist

Cupertino, CA · On-site

Minimum Qualifications BS in Computer Science, Machine Learning, Statistics, Neuroscience, or a closely related field Hands-on experience in a data-oriented, experimentation-heavy role, ideally ...

SynergisticIT

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

Quantiply Corporation

Data Scientist

San Jose, CA · On-site

PhD in machine learning, statistics, engineering, mathematics, computer science, neuroscience, bioinformatics, game theory or other technical field. * Strong knowledge of mathematics. * Strong ...

University of Utah

Data Scientists

Campus, IL

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

University of Utah

Data Scientists

Campus, IL

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

University of Utah

Data Scientists

Campus, IL

This is an Entry-Level position in the General Professional track. Job Code: P33861 Grade: P16 Data Scientist, II Produce innovative solutions driven by exploratory data analysis from complex and ...

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Entry Level Neuroscience Data Scientist information

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$46K

$165K

$243.5K

How much do entry level neuroscience data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for entry level neuroscience data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an entry level neuroscience data scientist?

An entry level neuroscience data scientist is a professional who applies data science techniques to analyze and interpret complex data related to neuroscience, such as brain imaging or neural activity data. They typically work with large datasets, use programming languages like Python or R, and employ statistical and machine learning methods to extract insights that advance our understanding of the brain. Entry-level positions usually require a bachelor's or master's degree in neuroscience, data science, computer science, or a related field. These roles often involve collaborating with neuroscientists, clinicians, and engineers to support research or clinical projects.

What are some typical challenges faced by entry level neuroscience data scientists when working with large brain imaging datasets?

Entry level neuroscience data scientists often encounter challenges related to handling and preprocessing large, complex brain imaging datasets, such as MRI or EEG data. These datasets can be noisy, high-dimensional, and require specialized tools for cleaning and analysis. Collaboration with neuroscientists and domain experts is essential to accurately interpret results and ensure that data-driven findings are meaningful in a biological context. Learning to balance computational efficiency, reproducibility, and scientific rigor is a crucial part of the role.

What is the difference between Entry Level Neuroscience Data Scientist vs Entry Level Data Analyst?

AspectEntry Level Neuroscience Data ScientistEntry Level Data Analyst
Required CredentialsBachelor's in neuroscience, data science, or related field; knowledge of programming (Python, R); basic statistical skillsBachelor's in statistics, mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsBusiness, marketing, finance, healthcare sectors
Employer & Industry UsageNeuroscience research, biotech firms, pharmaceutical companiesCorporate, consulting, healthcare, retail industries

Entry Level Neuroscience Data Scientists and Entry Level Data Analysts both analyze data, but the former specializes in neuroscience-related datasets and tools, often working in research or biotech settings. Data Analysts typically handle broader business data across various industries. The roles share foundational skills but differ in domain focus and application environment.

What are the key skills and qualifications needed to thrive as an entry level neuroscience data scientist, and why are they important?

To thrive as an Entry Level Neuroscience Data Scientist, you need a solid background in neuroscience, statistics, and programming, usually supported by a relevant degree such as neuroscience, computer science, or data science. Familiarity with technical tools like Python, R, MATLAB, machine learning libraries, and neuroimaging software (e.g., FSL or SPM) is typically required. Strong analytical thinking, problem-solving, and effective communication skills will help you interpret complex data and collaborate with cross-functional research teams. These skills and qualities are crucial for extracting meaningful insights from neurological datasets and advancing scientific research.
More about Entry Level Neuroscience Data Scientist jobs
What cities are hiring for Entry Level Neuroscience Data Scientist jobs? Cities with the most Entry Level Neuroscience Data Scientist job openings:
What are the most commonly searched types of Neuroscience Data Scientist jobs? The most popular types of Neuroscience Data Scientist jobs are:
What states have the most Entry Level Neuroscience Data Scientist jobs? States with the most job openings for Entry Level Neuroscience Data Scientist jobs include:
What job categories do people searching Entry Level Neuroscience Data Scientist jobs look for? The top searched job categories for Entry Level Neuroscience Data Scientist jobs are:
Entry Level Neuroscience Data Scientist jobs near you
Infographic showing various Entry Level Neuroscience Data Scientist job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Computer/Data Scientist(Entry Level) (Job #712)

Defense Acquisition Support Services

Aberdeen Proving Ground, MD • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

Job description

Summary

Defense Acquisition Support Services (DAS) is seeking an entry-level Computer/Data Scientist to support our customer at Aberdeen Proving Ground, MD. This position is ideal for a recent graduate or early-career professional with a degree in Data Analytics, Data Science, Computer Science, or a related field who has a passion for transforming data into meaningful visualizations and actionable insights.

Working alongside experienced government and contractor personnel, you will develop dashboards, communicate data-driven insights, and support decision-making for Department of Defense programs using Microsoft and Palantir technologies.

Responsibilities

  • Develop interactive dashboards and reports using Microsoft and/or Palantir platforms.
  • Analyze data and present findings through compelling visualizations and data storytelling techniques.
  • Transform complex datasets into clear, actionable insights for government and military leadership.
  • Support data collection, validation, and preparation for analysis.
  • Collaborate with stakeholders to understand reporting requirements and business needs.
  • Assist in maintaining data quality, consistency, and accuracy across reporting solutions.
  • Support ad hoc reporting and analytical requests.
  • Document analytical processes and provide user support as needed.
  • Learn and apply to the Department of Defense data management and governance practices.

Required Qualifications

  • Active Secret Clearance (required).
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
  • Entry-level experience (02 years) in data analytics, business intelligence, or data visualization.
  • Experience creating dashboards and reports using Microsoft or Palantir platforms (academic, internship, or professional experience accepted).
  • Understanding of data visualization principles and the ability to communicate insights through effective storytelling.
  • Strong analytical, critical thinking, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Proficiency with Microsoft Office applications, particularly Excel.

Preferred Qualifications

  • Familiarity with Army Logistics operations.
  • Familiarity with Army Vantage.
  • Experience with Microsoft Power BI.
  • Experience using SQL or Python for basic data analysis.
  • Internship or project experience supporting government or defense organizations.

About DAS: Defense Acquisition Support Services is a Women Owned Small Business focused on hiring the very best people in Defense Contracting. As a Systems Engineering and Technical Assistance (SETA) focused organization, we partner with the government to help them achieve Mission Success. Established in 2007, we have remained People Focused and understand the secret to organizational success is the team. Our People Focused approach enables us to hire, retain, and help our teammates succeed and assist them by providing the very best possible support available to our government customers.

The DAS Culture: We are People Focused. Each team member gets an employee concierge who is charged with helping ensure personal and professional success for our people. We care and try to help people find the right fit so they can find happiness, development, and a rewarding career. We succeed by helping you succeed.

DAS Benefits: We provide real benefits for our team that includes:

  • Free Health Care from Aetna
  • Dental Coverage
  • Vision Coverage
  • Paid Time Off
  • 401K
  • Employer Paid Group Life
  • Flexible Spending Accounts
  • Professional Development Training

Apply