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Data Researcher Jobs in Wisconsin (NOW HIRING)

Researcher I

Madison, WI · On-site

$63K/yr

Collects data and monitors test results * Operates, cleans, and maintains organization of research equipment and research area. Tracks inventory levels and places replenishment orders Department:

Researcher

Madison, WI · On-site

$55K/yr

Collects and analyzes basic research data, conducts experiments and interviews, and documents results according to established policies and procedures * Assists with the development of research ...

Participate in the collection, analysis, and interpretation of transportation engineering data, including field deployments and laboratory work. * Collaborate with faculty and research teams.

The Data Science Institute (DSI) is a campus-wide research institute that is central to the university's strategic priority to grow its research enterprise and expand its global impact. Our team of ...

Senior Researcher

Madison, WI · On-site +1

$75K - $105K/yr

Conduct or coordinate field research to gather information and data, which may include hands-on measurement of energy, user satisfaction, comfort, and other outcomes. * Support efforts to seek and ...

New

Data Scientist II

Madison, WI · On-site +1

$80K/yr

This role will involve contributing to research design, extracting and integrating data from sources such as electronic health records, transforming and curating data to create highquality ...

New

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Showing results 1-20

Data Researcher information

See Wisconsin salary details

$30.3K

$114.2K

$166K

How much do data researcher jobs pay per year?

As of Jul 5, 2026, the average yearly pay for data researcher in Wisconsin is $114,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $155,400.00 per year, depending on experience, location, and employer.

What is the work of a data researcher?

A data researcher collects, analyzes, and interprets data to support decision-making and problem-solving within organizations. They often use tools like spreadsheets, databases, and statistical software, and require strong analytical skills and attention to detail. Their work involves gathering data from various sources, ensuring data quality, and presenting findings clearly.

What do data researchers do?

Data researchers analyze large datasets to identify patterns, trends, and insights that support decision-making. They often use statistical tools, programming languages like Python or R, and data visualization software to organize and interpret data. Their work helps organizations improve strategies, products, and services based on data-driven evidence.

What are the typical day-to-day responsibilities of a Data Researcher?

As a Data Researcher, your daily responsibilities usually involve gathering, cleaning, and analyzing large datasets, as well as creating reports and visualizations to present your findings. You may work closely with data scientists, business analysts, and subject matter experts to define research goals and ensure data accuracy. Regular tasks could also include monitoring trends, documenting sources, and communicating insights to various departments. This collaborative and investigative environment means you'll often balance independent work with team projects, fostering both technical and interpersonal skills.

What is a Data Researcher job?

A Data Researcher is responsible for collecting, analyzing, and interpreting data to support business decisions, market research, or academic studies. They use various sources, such as databases, surveys, and reports, to gather relevant information. Data Researchers also clean and organize data, ensuring accuracy and reliability. Their work helps organizations identify trends, make informed decisions, and improve strategies based on data-driven insights.

What jobs pay 200,000 a year in the USA?

For a Data Researcher, earning $200,000 annually typically requires extensive experience, advanced skills in data analysis and statistical tools, and often a role in high-demand industries such as finance, technology, or consulting. Positions at this level may involve leadership responsibilities, specialized expertise, or working in senior or executive-level roles.

What are the key skills and qualifications needed to thrive in the Data Researcher position, and why are they important?

To thrive as a Data Researcher, you need strong analytical skills, knowledge of statistics, and proficiency in data collection and analysis, often supported by a degree in a related field like statistics, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, R, and data visualization platforms, as well as certifications in data science or analytics, is highly valuable. Attention to detail, curiosity, critical thinking, and effective communication make someone stand out in this position. These skills and qualities are crucial for accurately interpreting data, generating actionable insights, and effectively conveying findings to stakeholders.

Is 40 too late for data science?

Data research and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and data analysis tools, regardless of age, and demonstrating continuous learning and adaptability.
What are popular job titles related to Data Researcher jobs in Wisconsin? For Data Researcher jobs in Wisconsin, the most frequently searched job titles are:
Infographic showing various Data Researcher job openings in Wisconsin as of June 2026, with employment types broken down into 6% Full Time, 74% Part Time, 18% Contract, and 2% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $114,160 per year, or $54.9 per hour.
Postdoctoral Researcher - Data Science Institute

Postdoctoral Researcher - Data Science Institute

Medical College of Wisconsin

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 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

113th of 544 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, Protege, 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

Sourced by ZipRecruiter

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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