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Entry Level Neuroscience Data Scientist Jobs (NOW HIRING)

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

Experience with data science methods related to data architecture, data cleaning, data and feature ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

The Hollister Group

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Tech Consulting

Data Scientist

Los Angeles, CA · On-site

We are seeking a motivated Entry-Level Data Scientist with a strong interest in database development, data analysis, and data management. The ideal candidate will assist in designing, developing ...

New

Paramount Pictures

Data Scientist

Burbank, CA · On-site

$99 - $140/hr

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

New

Paramount

Data Scientist

Burbank, CA · On-site

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

Paramount

Data Scientist

Burbank, CA · On-site

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL

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 ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

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 ...

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... data for medical, diagnostic or life sciences applications Experience Level ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

TEKsystems

Data Scientist

Westbrook, ME

$48/hr

... data for medical, diagnostic or life sciences applications Experience Level ... Entry Level Job Type & Location This is a Contract position based out of Westbrook, ME. Pay and ...

TEKsystems

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

Data Scientist Hybrid in New York Must work W2 - Cannot provide sponsorship! Description • Deal ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

TEKsystems

Data Scientist

Manhattan, NY · Hybrid

$88K - $110K/yr

Data Scientist Hybrid in New York Must work W2 - Cannot provide sponsorship! Description • Deal ... Entry Level Job Type & Location This is a Permanent position based out of New York, NY. Pay and ...

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Entry Level Neuroscience Data Scientist information

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$165K

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

As of Sep 7, 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 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.

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.

More about Entry Level Neuroscience Data Scientist jobs

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States with the most job openings for Entry Level Neuroscience Data Scientist jobs include:

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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 3% Internship, 87% Full Time, and 10% Part Time. Highlights an 95% In-person, 1% Hybrid, and 4% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Americanfidelity

Oklahoma City, OK • Hybrid

Full-time

Posted 24 days ago

Job description

Job Description:

Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.

Technical Skills and Requirements:

  • Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
  • Expert in database languages (e.g., SQL).
  • Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
  • Applied experience with machine learning on large datasets using Big Data tools such as Apache's Hadoop or Spark
  • Expert in deep learning techniques and neural networks using languages such as as TensorFlow
  • Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
  • Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
  • Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
  • Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
  • Familiarity working with both structured and unstructured data, including textual data.
  • Ability to work in a fast-paced environment.
  • Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional analytical thinking and problem solving skills.
  • Exceptional understanding of business and business strategy.
  • Exceptional planning skills.
  • Exceptional organizational skill and ability to work autonomously.

Education:

Master's degree in related field required.

Location:

This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.

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