Neuroscientist vs data scientist

The differences between neuroscientists and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a neuroscientist and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $76,267 average annual salary of a neuroscientist.

The top three skills for a neuroscientist include literature reviews, animal models and experimental design. The most important skills for a data scientist are python, data science, and visualization.

Neuroscientist vs data scientist overview

	Neuroscientist	Data Scientist
Yearly salary	$76,267	$106,104
Hourly rate	$36.67	$51.01
Growth rate	17%	16%
Number of jobs	23,046	106,973
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 58%	Bachelor's Degree, 51%
Average age	41	41
Years of experience	4	4

Neuroscientist vs data scientist salary

Neuroscientists and data scientists have different pay scales, as shown below.

	Neuroscientist	Data Scientist
Average salary	$76,267	$106,104
Salary range	Between $43,000 And $133,000	Between $75,000 And $148,000
Highest paying City	San Francisco, CA	Richmond, CA
Highest paying state	California	California
Best paying company	Meta	The Citadel
Best paying industry	-	Start-up

Differences between neuroscientist and data scientist education

There are a few differences between a neuroscientist and a data scientist in terms of educational background:

	Neuroscientist	Data Scientist
Most common degree	Bachelor's Degree, 58%	Bachelor's Degree, 51%
Most common major	Biology	Computer Science
Most common college	University of Southern California	Columbia University in the City of New York

Neuroscientist vs data scientist demographics

Here are the differences between neuroscientists' and data scientists' demographics:

	Neuroscientist	Data Scientist
Average age	41	41
Gender ratio	Male, 47.4% Female, 52.6%	Male, 79.6% Female, 20.4%
Race ratio	Black or African American, 4.6% Unknown, 3.5% Hispanic or Latino, 7.4% Asian, 27.9% White, 56.4% American Indian and Alaska Native, 0.1%	Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6%
LGBT Percentage	8%	9%

Differences between neuroscientist and data scientist duties and responsibilities

Neuroscientist example responsibilities.

Manage sample inventory via in-house laboratory information management system (LIMS) and implement additional systems for sample and chemical organization.
Supervise activities of analytical cellular and molecular immunology laboratories.
Supervise activities of analytical cellular and molecular immunology laboratories.

Data scientist example responsibilities.

Update, maintain, and manage regional CRM database and records for customers, vendors, and suppliers.
Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
Lead the analysis in SAS for data integration of mortality data using meta-analysis integration methods.
Implement a proximal stochastic gradient descent with a line search to fit a regularize logistic regression in Scala
Perform cross-validation-test on linear regression model of data using scikit-learn.
Develop python base statistical visualization to provide insights of fuzzy social media data.

Neuroscientist vs data scientist skills

Common neuroscientist skills

Literature Reviews, 43%
Animal Models, 28%
Experimental Design, 16%
R, 8%
Scientific Data, 4%

Common data scientist skills

Python, 13%
Data Science, 10%
Visualization, 5%
Java, 4%
Hadoop, 4%
Tableau, 3%

Neuroscientist vs. similar jobs

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Neuroscientist
Neuroscientist vs Data Scientist

Updated January 8, 2025

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