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Entry Level Neuroscience Data Scientist Jobs (NOW HIRING)

Associate Scientist, Data II

North Chicago, IL ยท On-site

$56K - $57K/yr

... and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more ... As an Associate Data Scientist, you will be a core member of a high-performance team of data ...

... scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems Assess project requirements and develop data ...

... Statistics, Neuroscience, or a closely related field 10 years of relevant industry experience ... data Familiarity with human probing/annotation methods and inter-rater reliability techniques ...

Senior Manager, Data Science

North Chicago, IL ยท On-site

$142K - $208K/yr

... oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics ... a data scientist leading data science analysis & advanced visualization. Of experience required ...

Senior Manager, Data Science

North Chicago, IL ยท Hybrid

$142K - $208K/yr

... oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics ... a data scientist leading data science analysis & advanced visualization. Of experience required ...

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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 22, 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.

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Infographic showing various Entry Level Neuroscience Data Scientist job openings in the United States as of August 2026, with employment types broken down into 69% Full Time, 23% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Entry Level Data Analyst/Scientist (Remote)

SynergisticIT

Des Moines, IA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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