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Data Research Jobs in Michigan (NOW HIRING)

Research Data Technician

Grand Rapids, MI ยท On-site

$17.25 - $23.75/hr

The Triche Lab seeks to hire full-time (30 hours per week) Research Data Technician . The laboratory develops statistical, mathematical, and genomic methods to dissect pediatric and adult diseases.

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

$22/hr

The Data Research and Collection Intern collects and interprets data for our customers affected by the new European Securities and Markets Authority (ESMA) mandate. You will work closely with our ...

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Data Research information

What is a data research?

A Data Research job involves collecting, analyzing, and interpreting data to support decision-making and business strategies. Professionals in this role gather information from various sources, clean and organize datasets, and identify trends or patterns. They often use statistical tools and software to extract meaningful insights. Data researchers work in industries like finance, marketing, healthcare, and technology, helping organizations make data-driven decisions. Strong analytical skills, attention to detail, and proficiency in data tools are essential for success in this role.

What are the typical daily responsibilities of someone working in data research?

A Data Research professional typically spends their day gathering large datasets from various sources, cleaning and organizing data, and conducting in-depth analyses to identify trends and meaningful insights. They often collaborate closely with other data professionals, business analysts, and cross-functional teams to understand project goals and deliver relevant findings. In addition, they prepare reports or visualizations to communicate their results and may present these to stakeholders. The role often requires adaptability, as project priorities and data sources can evolve frequently, making each day varied and engaging.

What are the key skills and qualifications needed to thrive in data research, and why are they important?

To thrive as a Data Research professional, you need strong analytical skills, attention to detail, familiarity with data collection methods, and typically a degree in a relevant field like statistics, mathematics, or information science. Proficiency with data analysis tools such as Excel, SQL, Python, R, and experience with data visualization platforms like Tableau or Power BI are commonly required, and specialized certifications in data analytics can be advantageous. Key soft skills include curiosity, critical thinking, collaboration, and effective communication to present findings clearly. These abilities are crucial for ensuring accurate data collection, insightful analysis, and actionable recommendations to support organizational decision-making.

What are the most commonly searched types of Data Research jobs in Michigan?

The most popular types of Data Research jobs in Michigan are:

What cities in Michigan are hiring for Data Research jobs?

Cities in Michigan with the most Data Research job openings:

Infographic showing various Data Research job openings in Michigan as of September 2026, with employment types broken down into 1% Internship, 82% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Postdoctoral Research Fellow

Ann Arbor, MI โ€ข On-site

Other

Posted 8 days ago


Job description

University of Michigan Department of Biostatistics โ€“ Postdoctoral Research Fellow Company Name University of Michigan Department of Biostatistics Position Title Postdoctoral Research Fellow Company Information

The Department of Biostatistics is ranked No. 3 nationally by U.S. News & World Report. We are a thriving community of 47 faculty members, 16 postdoctoral fellows, 243 students, and 124 research and administrative staff, with strong ties to the Department of Statistics, the Medical School, the Michigan Institute for Data Science, and other research groups across the University of Michigan.

Duties and Responsibilities

The Department of Biostatistics at the University of Michigan School of Public Health invites applications for a postdoctoral fellow position in the broad areas of statistics, data science, and artificial intelligence (AI). The position will focus on developing and applying novel statistical, machine-learning, and AI methods to advance biomedical and oncology research.

The fellow will work under the supervision of Yi Li, with opportunities to collaborate with faculty in the Department of Biostatistics as well as medical and biomedical investigators at the University of Michigan and Harvard University. The position is funded by several NIH grants.

The start date is flexible; the selected candidate will ideally begin as soon as possible.

The postdoctoral fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include but are not limited to modern survival analysis, high-dimensional statistical inference, AI and machine learning, deep learning and its statistical foundations, causal inference, statistical methods for medical imaging, precision medicine, statistical genomics, graphical models, and the analysis and integration of complex, high-dimensional biomedical data.

The fellow will be expected to develop novel statistical methodology and apply it in real-world biomedical studies, prepare manuscripts for peer-reviewed journals, present and disseminate research findings, and collaborate with biomedical and clinical investigators.

There will also be opportunities to contribute to the teaching of graduate courses. The successful candidate will receive a competitive salary, computing resources, and other benefits in accordance with departmental and university policies.

The work requirements allow both onsite and offsite work and an employee has an expected recurring onsite presence. On occasion, the employee may be required and must be available to work onsite more frequently if necessitated by unit leadership or their designee and/or the job requirements.

This position may be eligible for remote and/or flexible work opportunities at the discretion of the hiring department. Flexible work agreements are reviewed annually and are subject to change based on the business needs of the hiring department throughout the course of employment.

Ann Arbor is a progressive city of approximately 118,000 year-round residents and approximately 43,000 students, with excellent schools and a wide variety of cultural, recreational, sporting, and musical activities. It consistently ranks highly in national surveys for quality of life and offers the amenities of a city many times its size.

In addition to a career filled with purpose and opportunity, the University of Michigan offers a comprehensive benefits package to help employees stay well, protect themselves and their families, and plan for a secure future.

This is a one-year appointment with the possibility of renewal for up to two additional years, contingent upon satisfactory performance and the availability of funding.

The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third-party administrator to conduct background checks. Background checks are performed in compliance with the Fair Credit Reporting Act.

The University of Michigan is an Equal Opportunity Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants, including protected veterans and individuals with disabilities.

Position Qualifications
  • PhD in Biostatistics, Statistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment
  • Strong methodological and computational skills
  • Demonstrated interest or experience in health-related applications of statistical, data science, machine-learning, or AI methods
  • Strong written and oral communication skills
  • Ability to work collaboratively in interdisciplinary research teams

Applicants should submit the following materials as a single document:

  1. A cover letter describing their specific interest in the position, relevant skills and experience, and overall research interests and plans (no more than 3 pages);
  2. A curriculum vitae;
  3. The names and contact information of three references.

Please submit application materials and any questions about the position to Yi Li at yili@umich.edu.

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