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Entry Level Neuroscience Data Scientist Jobs (NOW HIRING)

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in ...

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

Associate Data Scientist

Morgantown, WV ยท On-site

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

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Junior Data Scientist

Miami, FL ยท On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

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

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

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

Description People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data ... entry-level employees. The ability to relate to different types of people and understand their ...

Description Position at JBS USA People Data Scientist Purpose and Scope/General Summary: We are ... entry-level employees. The ability to relate to different types of people and understand their ...

People Data Scientist Purpose and Scope/General Summary: We are seeking a People Data Scientist to ... entry-level employees. The ability to relate to different types of people and understand their ...

This position is responsible for performing entry level analysis of program-related data, including building and maintaining databases and spreadsheets. The Data Scientist will collaborate with ...

We are seeking a People Data Scientist to join JBS at our corporate office in Greeley, Colorado. In ... entry-level employees. The ability to relate to different types of people and understand their ...

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Entry Level Neuroscience Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Jun 12, 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:
Infographic showing various Entry Level Neuroscience Data Scientist job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 83% Full Time, 13% Part Time, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

asrcfh

Oklahoma City, OK โ€ข On-site

Other

Posted 4 days ago


Job description

ASRC Federal Advanced Research supports the Federal Aviation Administration (FAA) National Airspace System (NAS) Second Level Engineering Support (SLES) contract.

We are seeking a highly motivated Data Scientist to support the Weather Systems Group. This role contributes to the design, integration, and sustainment of mission-critical aviation weather systems supporting real-time operations across the NAS.

Responsibilities:

  • Analyze system performance, operational trends, failure data, and reliability metrics to support engineering and management decisions.
  • Perform statistical analysis, including hypothesis testing, ANOVA, regression, correlation analysis, and confidence interval estimation.
  • Conduct reliability analysis to evaluate equipment performance, failure trends, maintainability, availability, and life-cycle risk.
  • Design and evaluate experiments or comparative studies to determine whether observed differences are statistically significant.
  • Develop models and analytical methods to detect anomalies, forecast trends, and support predictive maintenance or operational decision-making.
  • Develop scripts and tools using C, C++, and Python for automation, analysis, and system configuration
  • Support full software lifecycle including requirements, development, testing, and deployment
  • Perform capacity planning and scalability assessments for distributed systems
  • Develop technical documentation, reports, and artifacts for field use
  • Lead or contribute to process improvements
  • Collaborate with government stakeholders, engineers, and field technicians

Requirements:

US Citizenship or Permanent Residency required. All applicants must have resided in the United States for the past 3 years.

On-site presence will be as required by the FAA.

  • Proficient in programming languages and scripts used in model and tool development (C, C++, Python)
  • Proficiency in Python, R, SQL, or similar data analysis languages.
  • Experience using software libraries such as pandas, NumPy, scikit-learn, TensorFlow, PyTorch, or similar tools.
  • Experience creating dashboards, reports, or visualizations using tools such as Power BI, Tableau, Looker, matplotlib, or similar platforms.
  • Experience with use of source control such as Git.
  • Must demonstrate initiative with minimal oversight
  • Experience working in a team environment
  • Experience authoring technical documentation and providing technical support
  • Good written and spoken communication including developing technical documentation
  • Ability to pass an FAA background investigation
  • Must be local to the OKC area or willing to relocate.ย  Will need to have the ability to physically access laboratory hardware when needed.
  • Must be willing to travel up to 5% of the time.

Education/Experience:

  • Bachelorโ€™s degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field

Level 1: Entry Level

Level 2: Minimum 3 years of experience equivalent to a level 1

Level 3: Minimum 3 years of experience equivalent to a level 2

Level 4: Minimum 3 years of experience equivalent to a level 3