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Assistant Data Scientist Jobs in Wisconsin (NOW HIRING)

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

... Assist in transitioning ETL workflows into scalable, efficient ELT processes Work with SQL Server ... Associate's degree or higher in Computer Science, Data Science, Information Systems, or a related ...

Under the guidance of one of CHDR's Research Scientists, the successful Research Data Engineer will assist the CHDR scientific team to optimize processes within a large-scale relational database to ...

... assist in database development and management of multiple clinical and research databases. This ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

Showing results 21-40

Assistant Data Scientist information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do assistant data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for assistant data scientist in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

How does an assistant data scientist typically collaborate with other team members on data projects?

As an Assistant Data Scientist, you’ll frequently work alongside data engineers, senior data scientists, and business analysts to support larger analytics projects. You may be responsible for preparing datasets, cleaning data, and running initial analyses under the guidance of more experienced colleagues. Collaboration often involves regular team meetings, sharing code via version control systems, and providing updates on your progress. This teamwork helps ensure project goals are met efficiently and provides opportunities to learn from others and develop your technical skills.

What is the difference between Assistant Data Scientist vs Data Scientist?

AspectAssistant Data ScientistData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some experienceMaster's or PhD in Data Science, Statistics, or related field; extensive experience
Work EnvironmentSupportive, entry-level team environment, often supervisedIndependent or team-based projects, more responsibility
Employer & Industry UsageEntry-level roles in tech, finance, healthcare, and consultingSenior roles across similar industries, often leading projects

Assistant Data Scientists typically have foundational skills and support data teams, while Data Scientists handle complex analysis and lead projects. The roles differ mainly in experience level, responsibility, and expertise required, with Assistant Data Scientists serving as a stepping stone to becoming Data Scientists.

What are the key skills and qualifications needed to thrive as an assistant data scientist, and why are they important?

To thrive as an Assistant Data Scientist, you need a solid understanding of statistics, data analysis, and programming skills in languages like Python or R, often supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), version control systems like Git, and experience with databases are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and explain findings to diverse stakeholders. These skills are vital for extracting actionable insights from complex datasets and contributing meaningfully to data-driven decision-making.

What is an assistant data scientist?

Assistant Data Scientists are entry-level professionals who support data science teams by assisting with data collection, cleaning, analysis, and visualization. They help prepare datasets, build simple models, and generate reports under the supervision of senior data scientists. This role offers hands-on experience with data science tools and methods, making it a valuable starting point for those aiming to advance in the field. Assistant Data Scientists typically work in industries like technology, healthcare, finance, and retail, contributing to data-driven decision making.
What are the most commonly searched types of Data Scientist jobs in Wisconsin? The most popular types of Data Scientist jobs in Wisconsin are:
What are popular job titles related to Assistant Data Scientist jobs in Wisconsin? For Assistant Data Scientist jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Assistant Data Scientist jobs in Wisconsin look for? The top searched job categories for Assistant Data Scientist jobs in Wisconsin are:
What cities in Wisconsin are hiring for Assistant Data Scientist jobs? Cities in Wisconsin with the most Assistant Data Scientist job openings:
Infographic showing various Assistant Data Scientist 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 $166,561 per year, or $80.1 per hour.

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 16 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

The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative research team focused on ontology and data curation for diverse research communities. This role supports the Hogan Laboratory in the Data Science Institute and the Rat Genome Database in the Department of Physiology by developing, maintaining, enhancing, and implementing biomedical ontologies in various software, annotation, and data management applications. The incumbent will gain experience in the theory and practice of biomedical, health, and behavioral ontologies, including advanced ontology development workflows. The incumbent will also extract relevant information from published journal articles, research laboratories, and databases and integrate this information with existing data.

A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health (NIH), 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).

The position also is an integral team member of the Rat Genome Database (RGD). RGD is the dedicated NIH-funded knowledgebase for the laboratory rat, along with human and several mammalian disease models; RGD curates multiple genomic data types, comprehensive disease and phenotype annotations, and develops novel tools to effectively mine, analyze and visualize the available data. The incumbent will independently conduct data curation including data acquisition, ontology development, and analysis for research projects whose focus is to provide comprehensive disease, clinical and physiological data to diverse research communities. They will work with technical team members on the development of data analytic tools and pipelines, as well as provide input into database and user interface design.

Primary Responsibilities
  • Data curation

  • Perform data acquisition and analysis, including identifying relevant sources of information, extracting clinical, disease, physiological and genetic information from text sources such as published literature and clinical records as well as web-based and other sources.

  • Develop content for web-based research resources.

  • Work with programmers and other curators to develop new and update existing data analysis tools, database design, and web interfaces.

  • Ontology development and implementation

  • 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 ontology and vocabulary development for the Rat Genome Database, including but not limited to the Rat Disease Ontology (RDO)

  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings.

  • General Responsibilities

  • Mentor graduate students and contribute to training and scientific development within the lab

  • Assist with the development of grant proposals and collaborative research initiatives

  • Coordinate research study activities; lead and manage projects including presenting project updates at meetings

  • Assist in creating workshops, presentations, and educational materials

  • May oversee the work of laboratory personnel, including training and development as well as daily work direction/delegation/prioritizing

  • Other duties as assigned

Knowledge - Skills - Abilities
  • Required knowledge: ontology, terminology, controlled vocabularies, data models

  • Technical knowledge: Familiarity with Web Ontology Language, Protege, GitHub, relational database management systems / SQL, public sequence databases, and model organism databases is highly desired

  • Enthusiastic, highly motivated, and proven ability to work independently, manage time effectively, and troubleshoot experiments

  • Strong interest and aptitude for multi-disciplinary collaboration

  • Skills and abilities: writing skills, presentation skills, organization, time management, multi-tasking.

Qualifications

Minimum Required Education: PhD in Biomedical Informatics, Ontology, Molecular Biology, Physiology, Computer Science, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Biological or Health Sciences or comparable field

Preferred Experience: 5 years of research experience

  • Experience reviewing and interpreting scientific literature and research data.
  • Experience using tools for ontology development, annotation, term matching, referent tracking, semantic web.
  • Expertise using public genomic or disease data resources and software tools, data acquisition, integration or standardization; clinical, laboratory or informatics experience.
  • Work experience with collaborating with domain experts to solicit priorities for ontology development and formulating term definitions and axioms.
  • Strong publication record in peer-reviewed journals.

Appropriate experience may be substituted for education on an equivalent basis. Master's degree plus an additional minimum of 3 years of relevant research experience may be considered in lieu of a PhD.

#LI-FL1

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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