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Data Research Assistant Jobs in Milwaukee, WI (NOW HIRING)

HaML Lab

Research Assistant

Milwaukee, WI · On-site

$60 - $80/hr

... is seeking a research assistant. Lab studies will examine how human memory supports optimal ... Supervises data collection for a study and performs quality assurance checks on the data. Any ...

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Data Research Assistant information

What does a data research assistant do?

A Data Research Assistant supports research projects by collecting, analyzing, and organizing data. They often work with large datasets, ensuring data accuracy and integrity, and may assist in creating reports or visualizations. Their responsibilities can also include conducting literature reviews, maintaining databases, and helping with the preparation of research findings for publication. Data Research Assistants typically work under the supervision of senior researchers or project managers in academic, corporate, or governmental settings.

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

To thrive as a Data Research Assistant, you need strong analytical skills, attention to detail, and a background in statistics or a related field, often supported by a bachelor's degree. Familiarity with data analysis software such as Excel, SPSS, or Python, as well as experience with databases, is typically required. Excellent organizational skills, communication, and the ability to work independently make someone stand out in this role. These skills ensure accurate data collection and analysis, supporting sound research outcomes and effective collaboration within research teams.

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

As a Data Research Assistant, you'll regularly work alongside researchers, analysts, and subject matter experts to support data collection, cleaning, and analysis. Collaboration often involves attending team meetings, sharing progress updates, and assisting in troubleshooting data-related issues. You'll also coordinate with colleagues to ensure data integrity and may help prepare reports or visualizations for presentations. This teamwork fosters a learning environment and helps you develop both technical and communication skills essential for career growth.

How much is a data research assistant paid?

The average salary for a data research assistant typically ranges from $40,000 to $60,000 per year, depending on experience, education, and location. Entry-level positions may start lower, while those with specialized skills in data analysis or familiarity with tools like Excel or SQL can earn higher wages.

Is it hard to get a data research assistant position?

Securing a data research assistant position can vary depending on the applicant's educational background, relevant skills such as data analysis and proficiency with tools like Excel or statistical software, and the competitiveness of the job market. Typically, candidates with a strong academic record, relevant internships, or research experience have better chances of obtaining such roles.

What qualifications do I need to be a data research assistant?

A data research assistant typically needs a bachelor's degree in fields such as data science, statistics, or related areas. Strong analytical skills, proficiency in data analysis tools like Excel, SQL, or Python, and attention to detail are also important qualifications for the role.

What are popular job titles related to Data Research Assistant jobs in Milwaukee, WI?

For Data Research Assistant jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Data Research Assistant jobs in Milwaukee, WI look for?

The top searched job categories for Data Research Assistant jobs in Milwaukee, WI are:

Data Research Assistant jobs near you
Infographic showing various Data Research Assistant job openings in Milwaukee, WI as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Research Assistant

HaML Lab

Milwaukee, WI • On-site

$60 - $80/hr

Other

Posted 6 days ago

Key responsibilities

  • Assist in running experimental sessions and collecting behavioral and neuroimaging data.

  • Participate in designing studies, developing tasks, and supervising data collection.

  • Engage in research activities such as literature reviews and creating research products.

Job description

The Human and Machine Learning (HaML) Lab in the Department of Psychological and Brain Sciences at the University of Wisconsin–Milwaukee is seeking a research assistant. Lab studies will examine how human memory supports optimal decision making in both familiar contexts and new situations, using behavioral and neuroimaging data and model simulations. Lab studies will examine how human memory supports optimal decision making in both familiar contexts and new situations, using behavioral and neuroimaging data and model simulations. This volunteer position that will last for two semesters. This position is ideal for those interested in gaining research experience and the opportunity to present at conferences and co-author publications.

Background

The HaML Lab studies how humans acquire and apply knowledge to make informed decisions in a complex and uncertain world. We aim to develop a more comprehensive theory of human learning that takes into account memory limitations, motivation, and uncertainty, while explaining how memories are formed and transformed through memory consolidation. We use a combination of behavioral methods from cognitive psychology and neural measures obtained using neuroimaging, which are used to inform development of neurally informed machine learning models that mimic human behavior and brain activity. We ultimately aim to have an impact beyond the lab by informing understanding of memory problems and memory-related disorders such as PTSD. The HaML Lab is directed by Neal Morton, PhD . See the research page for more information about Dr.Morton’s previous research.

Roles

To participate in research, undergraduate researchers must first undergo Level I training in one or more of the specific research roles. Level I training involves reading about best practices and passing a short quiz. It’s most common to start with being a Study Proctor, who helps run experimental sessions. Researchers can also get involved with designing studies, developing tasks, supervising data collection for a study, or conducting literature reviews. Undergraduate Researchers can be certified as having completed training for various research roles:

  • Study Designer: Creates the experimental design for a study.
  • Study Developer: Takes an experimental design and implements it as a task.
  • Study Proctor: Runs participants through a task to collect data.
  • Study Coordinator: Supervises data collection for a study and performs quality assurance checks on the data.

Any completed training will be displayed on your profile on the lab website, which you can show to potential employers or graduate school advisors. After completing Level I training, researchers can work on a project. If they complete a certain amount of research through that project, then they will qualify for Level II certification, which then enables them to take on an independent project like writing a literature review on a topic they’re interested in or designing and running a new study. Researchers who complete an independent project and create an approved research product, such as a paper, thesis, or cognitive task, qualify for Level III certification, which indicates that they are skilled at performing some aspect of research independently.

  • Hands-on training in cutting-edge psychology and neuroscience research techniques.
  • Experience and training in working with data, data visualization, and science communication.
  • Opportunities to present research at national and local conferences, network with leading neuroscientists.
  • Professional development for graduate school or research positions.
  • A supportive culture that encourages time off and a healthy work-life balance.
Minimum Qualifications
  • Some relevant coursework in psychology, neuroscience, math, and/or statistics.
Preferred Qualifications
  • Experience with research, especially research studies with human participants.
  • Programming experience.
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