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Data Science Research Assistant Jobs in Wisconsin

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

What You'll Do * Assist in cleaning, preprocessing and analyzing large datasets to uncover trends ... Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent ...

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Senior Research Assistant to join our team in Madison, WI! Work Schedule

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... The candidate will work on Enterprise data platform and other analytical projects as needed, assist ...

WI · On-site

$95 - $130/hr

Reports to the Manager of Data Science. Minimum Qualifications * Bachelor's Degree in science ... Advanced experience in researching and resolving data issues with large, complex, incomplete data ...

Showing results 21-40

Data Science Research Assistant information

See Wisconsin salary details

$8

$22

$32

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

As of Aug 10, 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 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 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 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 cities in Wisconsin are hiring for Data Science Research Assistant jobs? Cities in Wisconsin with the most Data Science Research Assistant job openings:
Infographic showing various Data Science Research Assistant job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,997 per year, or $22.1 per hour.

Postdoctoral Researcher - Data Science Institute

Medical College of Wisconsin

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago


Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

260th of 617 rated colleges and universities


Job description

Summary
According to the National Institute of Health (NIH) and the National Science Foundation (NSF), a postdoc is an individual who has received a doctoral degree (or equivalent) and is engaged in a temporary and defined period of mentored advanced research training to enhance the professional skills and research independence needed to pursue his or her chosen career path. In addition, according to the National Postdoc Association (NPA), Postdoctoral appointees can pursue basic, clinical or translational projects so long as their primary effort is devoted toward their own scholarship. Postdocs are essential to the scholarly mission of the mentor and host institution, and thus are expected to have the freedom to publish the results of their scholarship.
The Hogan Lab in the Data Science Institute is seeking a post-doctoral researcher for work in ontology, semantic web, and referent tracking. The incumbent will gain experience managing existing, as well as starting new, ontologies and using them in various annotation and data management applications.
A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health, working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).
Primary Responsibilities
  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.
  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
  • Participate in APRICOT meetings, events.
  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.
  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings

General responsibilities:
  • Plan, design and execute complex research studies, procedures and protocols.
  • Participate in discovery projects.
  • Coordinate research study activities; lead and manage projects.
  • Oversee organization, synthesis and analysis of data and findings.
  • Prepare scientific reports, outcome findings and scientific manuscripts.
  • Participate in meetings with principal investigator and research staff in which you will evaluate/interpret the validity of data, develop methodologies, and design and evaluate lab procedures.
  • Maintain supplies, may require negotiation with vendors, and track purchase orders.
  • May oversee the work of laboratory personnel including training and development as well as daily work direction, delegation and establishing priorities.
  • Other duties as assigned.

Knowledge - Skills - Abilities
  • Required knowledge: ontology, terminology, controlled vocabularies, data models
  • Technical knowledge: Web Ontology Language, Protégé, GitHub
  • Strong interest in multi-disciplinary collaboration
  • Writing skills
  • Skills and abilities: presentation skills, organization, time management, multi-tasking.
  • Documentation and records management
  • Data utilization
  • Complex problem solving and critical thinking
  • Resource management

Qualifications
Minimum Required Education: PhD in a scientific field or MD
Minimum Required Experience: 0 years
Preferred Education: PhD in Biomedical Informatics or related field
Preferred Experience: Ontology, semantic web, referent tracking
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

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The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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