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Research Scientist Computer Science Jobs in Michigan

Research Scientist, preferably with a PhD in molecular biology or lesser degree with comparable experience. Must meet legal requirement to work in the USA. The successful candidate will be ...

Research Scientist, preferably with a PhD in molecular biology or lesser degree with comparable experience. Must meet legal requirement to work in the USA. The successful candidate will be ...

We are engaged in the research and development process, and once the technology is mature, we ... D. in physics, materials science, electrical engineering or related fields in optoelectronic ...

We are engaged in the research and development process, and once the technology is mature, we ... D. in physics, materials science, electrical engineering or related fields in optoelectronic ...

Research Scientist

Ann Arbor, MI · On-site

$105K - $180K/yr

We are engaged in the research and development process, and once the technology is mature, we ... D. in physics, materials science, electrical engineering or related fields in optoelectronic ...

Research Scientist

Ann Arbor, MI · On-site

$105K - $180K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... science or semiconductor technology discipline. Ideally, applicants will have relevant experience ...

Research Scientist

Ann Arbor, MI · On-site

$105K - $180K/yr

The innovative ideas and devices that are advancing humanity all begin with inspiration, research ... science or semiconductor technology discipline. Ideally, applicants will have relevant experience ...

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Showing results 1-20

Research Scientist Computer Science information

See Michigan salary details

$44K

$113.4K

$151.7K

How much do research scientist computer science jobs pay per year?

As of Jul 29, 2026, the average yearly pay for research scientist computer science in Michigan is $113,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $150,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Research Scientist in Computer Science, and why are they important?

To thrive as a Research Scientist in Computer Science, you need advanced knowledge of algorithms, data structures, and computational theory, typically supported by a Ph.D. or relevant graduate degree. Proficiency with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems is essential, and experience with machine learning frameworks or high-performance computing can be advantageous. Critical thinking, creativity, and effective communication are vital soft skills for formulating innovative research questions and collaborating across multidisciplinary teams. These skills enable the development of pioneering solutions, clear dissemination of findings, and significant contributions to the advancement of technology.

How do Research Scientists in Computer Science typically collaborate with other professionals on interdisciplinary projects?

Research Scientists in Computer Science often work closely with experts from diverse fields such as data science, engineering, healthcare, or social sciences, depending on the project's focus. Collaboration usually involves joint problem-solving, sharing domain-specific knowledge, and integrating different methodologies to address complex research questions. Communication skills are crucial, as scientists must translate technical concepts for non-technical stakeholders and ensure all team members are aligned on goals and deliverables. Regular meetings, shared documentation, and collaborative software tools are commonly used to facilitate effective teamwork.

What is the difference between Research Scientist Computer Science vs Data Scientist?

AspectResearch Scientist Computer ScienceData Scientist
Required CredentialsAdvanced degrees in CS or related fields, research experienceDegree in CS, statistics, or related fields; data analysis certifications
Work EnvironmentResearch labs, academia, R&D departmentsCorporate offices, tech companies, analytics firms
Employer & Industry UsageUniversities, research institutions, tech companiesBusiness, finance, healthcare, tech industries
Common Search & Comparison IntentUnderstanding research roles in CSData analysis and application roles

Research Scientist Computer Science focuses on advancing knowledge through research, often in academic or R&D settings, requiring strong research credentials. Data Scientist emphasizes analyzing and interpreting data to inform business decisions, typically in industry settings. While both roles require technical skills, their work environments and objectives differ significantly.

What does a Research Scientist in Computer Science do?

A Research Scientist in Computer Science explores new theories, models, and technologies to advance the field. They conduct experiments, analyze data, and publish findings in scientific journals or conferences. Their work often involves collaborating with other researchers, developing prototypes, and contributing to innovations in areas like artificial intelligence, machine learning, cybersecurity, or data science. The goal is to solve complex problems and push the boundaries of what computers and algorithms can achieve.
What job categories do people searching Research Scientist Computer Science jobs in Michigan look for? The top searched job categories for Research Scientist Computer Science jobs in Michigan are:
Infographic showing various Research Scientist Computer Science job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $113,409 per year, or $54.5 per hour.

Research Scientist - Associate

Louisiana Workforce Commission

East Lansing, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 2 days ago

New


Job description

All Job Postings will close at 12:01a.m. CST (1:01a.m. EST) on the specified Closing Date (if designated).If you close the browser or exit your application prior to submitting, the application progress will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.Job Posting Title:Research Scientist - AssociatePosition Type:Professional / UnclassifiedDepartment:LSUAM Science - BioS - Computational Evolution (Fabio Mendes (00085270))Work Location:0202 Life Sciences BuildingPay Grade:ProfessionalJob Description:

The candidate will support advanced computational research in phylogenetic inference, evolutionary modeling, and open-source scientific software development. The position will independently lead and contribute to the design, implementation, validation, and maintenance of scientific software. The candidate will develop Bayesian inference and AI-based methods and implement them, when applicable, as tested components of established research software platforms, e.g., BEAST 2, RevBayes, and related C++ or Java-based applications. The position requires specialized expertise in scientific programming, Bayesian computational, software architecture, phylogenetic methods, and collaborative research software development. The position will also contribute to preliminary analyses for grant proposals, manuscripts, documentation, tutorials, conference presentations, and technical mentoring of graduate students, postdoctoral researchers, and collaborators.

Duties Include:
65% RESEARCH: Design, implement, test, document, and maintain scientific software for Bayesian and AI-based phylogenetic and evolutionary statistical learning. Develop models, algorithms, plugins, and computational tools in open-source research software platforms, including C++ and Java-based systems. Contribute to software architecture, code quality, performance, debugging, infrastructure testing, version control workflows, reproducibility, documentation, and long-term maintainability.

20% SERVICE, TRAINING & MENTORSHIP: Provide technical leadership, mentoring, and guidance to graduate students, postdoctoral researchers, and collaborators working on computational and software-related aspects of phylogenetic research. Train group members in scientific programming, C++, Java-based research software development, Bayesian computation, software design, version control, testing, debugging, documentation, code review, and collaborative open-source development. Help establish appropriate software development practices and standards for research projects.

15% SCIENTIFIC RESEARCH PLANNING & COMMUNICATION: Contribute to peer-reviewed publications, grant-proposals, preliminary results for external funding applications, conference presentations, workshop materials, software documentation, tutorials, and other scholarly or community-facing research products.

Minimum Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 5 year experience.

Specific experience required:

(1) Demonstrated record of independently designing, implementing, validating, and maintaining scientific, statistical, or computational research software;

(2) Demonstrated expertise in Bayesian inference, phylogenetic methods, evolutionary modeling, statistical computation, or closely related computational methods;

(3) Substantial programming experience in C++, Java, or comparable languages used in scientific software development.

Preferred Qualifications:
PhD in Computational Biology, Evolutionary Biology, Mathematics, Computer Science, or closely related field with 8 years experience.

Specific experience preferred:
(1) Experience developing, maintaining, or making substantial contributions to open-source scientific software;

(2) Experience developing Bayesian phylogenetic software such as BEAST, BEAST 2, RevBayes, MrBayes (or comparable scientific software platforms), MCMC methods, probabilistic models, and high-performance scientific computing methods;

(4) Experience with collaborative software development practices, including version control, issue tracking, code review, testing, debugging, continuous integration, documentation, and software release workflows.

Job competencies:
Proficient in Programming in C++, Java, or comparable language used in scientific software development; Implementing and testing high-performance statistical inference algorithms in large software platforms; Documenting and maintaining large computational methods code bases, as well as releasing such methods to the user base; Developing methods, algorithms and models for use in evolutionary biology, with a focus on phylogenetic inference.

Advanced in Mentoring and providing technical support to graduate students and postdocs and

Communicating results clearly in written (manuscripts) and oral form (talks).


Additional Job Description:Special Instructions:Please submit a current CV, 3 references with contact information. An official copy of your transcript with the highest degree will be needed prior to hire. For additional information, please contact Lori Bond at lbond3@lsu.edu.

Skills Needed:

Preferred Skills:

Posting Date:July 27, 2026Closing Date (Open Until Filled if No Date Specified):August 1, 2026Additional Position Information:

Background Check - An offer of employment is contingent on a satisfactory pre-employment background check.

Benefits - LSU offers outstanding benefits to eligible employees and their dependents including health, life, dental, and vision insurance; flexible spending accounts; retirement options; various leave options; paid holidays; wellness benefits; tuition exemption for qualified positions; training and development opportunities; employee discounts; and more!

Positions approved to work outside the State of Louisiana shall be employed through Louisiana State University's partner, nextSource Workforce Solutions, for Employer of Record Services including but not limited to employment, benefits, payroll, and tax compliance. Positions employed through Employer of Record Services will be offered benefits and retirement as applicable through their provider and will not be eligible for State of Louisiana benefits and retirement.

Essential Position (Y/N):LSU is an Equal Opportunity Employer.

All candidates must have valid U.S. work authorization at the time of hire and maintain that valid work authorization throughout employment. Changes in laws, regulations, or government policies may impact the university's ability to employ individuals in certain positions.

HCM Contact Information:

For questions or concerns related to updating your application with attachments (e.g., resumes, RS:17 documents), date of birth, or reactivating applications, please contact the LSU Human Resources Management Office at 225-578-8200 or email HR@lsu.edu. For questions or concerns regarding the status of your application or salary ranges, please contact the department using the information provided in the Special Instructions section of this job posting.


Louisiana Workforce Commission logo

About Louisiana Workforce Commission

Sourced by ZipRecruiter

The Louisiana Workforce Commission’s vision is to make Louisiana the best place in the country to get a job or grow a business, and our goal is to be the country's best workforce agency. Our mission is simple and straightforward – we put people to work. Today, the LWC is ideally positioned and structured to support and serve Louisiana’s employers, job seekers and workforce partners.

Industry

Public administration

Company size

11 - 50 Employees

Headquarters location

Baton Rouge, LA, US

Year founded

2008