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Entry Level Neuroscience Data Scientist Jobs (NOW HIRING)

... 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 ...

... 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 ...

Associate Scientist, Data II

North Chicago, IL · 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 ...

... 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 ...

... Statistics, Neuroscience, or a closely related field 3 years of relevant industry experience ... data Familiarity with human probing/annotation methods and inter-rater reliability techniques ...

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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 10, 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:
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.

Associate Scientist, Data II

AbbVie

North Chicago, IL • On-site

$65K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 101 frontline employees who took The Breakroom Quiz

16th of 86 rated pharmaceutical


Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
AbbVie Information Research is seeking an Associate Data Scientist II who would contribute to the architecture, design, and development of the Data & Analytics Platform, supporting world-class research and development at AbbVie. As an Associate Data Scientist, you will be a core member of a high-performance team of data engineers and architects focusing on driving technology innovation and continuous improvement. This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver data and analytics solutions.
Associate Data Scientist would contribute to the architecture, design, and development of the fit for purpose Data & Analytics solution in a timely manner, under the direction of a more senior leader. Possess general understanding of software development and technology infrastructure with respect to data and analytics (Databases, Data integration, Data Warehousing, Data Analysis, Visualization Tools and MLOps)
Responsibilities:
  • Perform routine tasks competently and independently and generate reliable and consistent results.
  • Learn and understand various data engineering activities, including data warehousing, master data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops.
  • Learn and understand pharmaceutical R&D/Life Science centric datasets.
  • Produces and maintains required technical documentation associated with work products.
  • Learn and contribute to the architecture, design, development, and maintenance of large-scale data & analytics platforms, system integrations, data pipelines, data models & API integrations to support evolving business strategy.
  • Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, data security, and the software development lifecycle.

Qualifications
Required:
  • Bachelor's Degree or equivalent education, with 2 years' experience; or Master's Degree with 0 years' experience.
  • Must have experience with software development life cycle.
  • Experience with data analysis programming languages (e.g., SQL, Python & Apache Spark, SAS & R).
  • Knowledge and practical experience in cloud platforms, Knowledge graph, Elastic search, data streaming, and LLM models.

Preferred:
  • Experience working with Pharmaceutical R&D industry-centric datasets is preferred.
  • Experience working with Cloud platforms, MPP engines, Graph databases and search is preferred.

Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount isearned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that areallocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolutediscretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013