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Data Science Research Assistant Jobs in Wisconsin

Baylor College of Medicine

WI · On-site

$80 - $120/hr

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research) Division: Surgery Work Arrangement: Location: Houston, TX | Salary Range: FLSA Status: Exempt Baylor ...

Wisconsin

Research Assistant

Stevens Point, WI

$15/hr

Research Assistant Job Category: Student Hourly Job Profile: Student Help Job Summary: Conduct pulp ... Record worklogs and conduct limited data analysis. Required Qualifications: 1. Paper Science and/or ...

wistar

Research Assistant - Weiner Lab

Institute, WI · On-site

... data analysis, and laboratory management tasks in support of different projects. Work involving ... A bachelor's degree (or equivalent combination of education and experience) in a science related ...

Wisconsin

Research Assistant

Stevens Point, WI · On-site

$16/hr

... science engineering or chemical engineering major. Key Job Responsibilities: Special Notes: Through the discovery and dissemination of knowledge, UW-Stevens Point stimulates intellectual growth ...

Tiger Analytics

WI · On-site

$140 - $220/hr

... Operation research strategies and Pricing Analytics within supply chains, and strong coding ... Work on the latest applications of data science to solve business problems in the Supply chain and ...

wistar

Research Assistant - GZhou Lab

Institute, WI · On-site

A bachelor's degree in a science-related field, or equivalent combination of education and ... data analysis would be advantageous. Excellent communication and organizational skills are ...

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Data Science Research Assistant information

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$8

$22

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How much do data science research assistant jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for data science research assistant in Wisconsin is $22.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.70 and $25.72 per hour, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What are the key skills and qualifications needed to thrive as a data science research assistant?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are popular job titles related to Data Science Research Assistant jobs in Wisconsin?

For Data Science Research Assistant jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Research Assistant jobs in Wisconsin look for?

The top searched job categories for Data Science Research Assistant jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Science Research Assistant jobs?

Cities in Wisconsin with the most Data Science Research Assistant job openings:

Data Science Research Assistant jobs near you
Infographic showing various Data Science Research Assistant job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $45,997 per year, or $22.1 per hour.

Assistant Professor, Data Science and Statistics

Lawrence University

Appleton, WI • On-site

Full-time

Posted 10 days ago

Lawrence University rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

560th of 630 rated colleges and universities

Job description

Position Details
Position Information
Position Title
Assistant Professor, Data Science and Statistics
Location
Appleton
Department
Mathematics & Computer Science
Position Type
Faculty
Position Description & Qualifications
Lawrence University of Wisconsin, a selective undergraduate liberal arts college and conservatory of music located in Appleton, Wisconsin invites applications for a tenure-track Assistant Professor of Data Science and Statistics to begin September 1, 2027.
We seek candidates who will contribute to our growing program, which includes a new Data Science and Statistics major. Candidates must have a Ph.D. in statistics, biostatistics, data science, or a closely related field prior to the time of appointment (9/1/2027); ABD is acceptable for selection. Candidates should demonstrate potential for teaching a variety of undergraduate statistics and data science courses, and expect to participate in Lawrence's flagship First Year Studies program on rotation. The First Year Studies curriculum presents an interdisciplinary introduction to the liberal arts intended to support new students' fundamental skills as readers, writers, and thinkers.
Primary duties include: teaching two undergraduate courses in each of Lawrence's three ten-week terms, grading, advising and mentoring students; conducting research; leading occasional tutorials, supervising independent study projects and internships; assisting in curricular planning; and related departmental and institutional service. The successful candidate will be the third statistics and data science faculty member in the Department of Mathematics, Statistics, and Computer Science. Additional information about our curriculum and faculty can be found at https://www.lawrence.edu/academics/college/data-science-and-statistics.
Candidates should submit the following: (1) a cover letter describing their interest in this position, (2) a curriculum vitae, (3) a statement of teaching explaining their pedagogical methods and teaching experiences, (4) a statement describing their scholarly activities, interests, and future plans, (5) names and email addresses for three references who can be contacted for letters of recommendation at a later stage in the process (at least one of whom can attest specifically to teaching).
In their teaching statement, candidates are encouraged to discuss their experiences and ideas for teaching courses involving data analysis and computational tools. Candidates should also discuss how they will foster an inclusive and supportive learning environment for all students. In their scholarship statement, candidates are encouraged to discuss their experiences or ideas for incorporating undergraduate students in their research.
Candidates are encouraged to read more about Lawrence at https://lawrence.peopleadmin.com as well as www.lawrence.edu and Colleges That Change Lives.
We will begin reviewing applications on October 2, 2026. For further information, please contact Andrew Sage, the chair of the search committee (sagea@lawrence.edu).
Posting Detail Information
Posting Number
S642P
Number of Vacancies
1
Posting Date
Best Consideration Date
Close Date
Open Until Filled
Special Instructions Summary
Anticipated Number of Hours per Week
40

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