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Network Engineer Trainee Jobs in Michigan (NOW HIRING)

... network inference. Tissues of focus include pancreatic islets and skeletal muscle, with ... Strong programming skills (R and/or Python) and comfort in a high-performance computing environment.

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Network Engineer Trainee information

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or network engineering can earn $300,000 or more annually, especially with extensive experience, advanced certifications, and leadership roles. High salaries are often associated with roles in large companies, management positions, or those working in high-demand industries like technology or finance.

What engineers make $500,000?

Senior network engineers with extensive experience, advanced certifications (such as CCIE), and expertise in areas like cybersecurity or large-scale infrastructure can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living regions or executive roles. Such compensation often includes bonuses, stock options, or other incentives.

What is the difference between Network Engineer Trainee vs Network Engineer?

AspectNetwork Engineer TraineeNetwork Engineer
Required CredentialsTypically pursuing or completed relevant certifications (e.g., Cisco CCNA), some technical educationProfessional certifications (e.g., CCNA, CCNP), bachelor's degree in IT or related field
Work EnvironmentTraining programs, entry-level tasks, supervised settingsFull responsibility for network design, implementation, and maintenance
Employer & Industry UsageInternships, training programs in telecom, IT firms, or corporate IT departmentsEstablished roles in IT, telecom, and enterprise networks

The main difference is that a Network Engineer Trainee is in a learning or entry-level phase, focusing on gaining skills and certifications, while a Network Engineer is a fully qualified professional responsible for managing and maintaining network infrastructure.

What are the key skills and qualifications needed to thrive as a Network Engineer Trainee, and why are they important?

To thrive as a Network Engineer Trainee, you need a foundational understanding of networking concepts, TCP/IP protocols, and a relevant degree or coursework in information technology or computer science. Familiarity with network hardware, Cisco or Juniper devices, and certifications like CompTIA Network+ or Cisco CCNA are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in troubleshooting and collaborating with team members. These skills are essential for maintaining network reliability, ensuring security, and supporting organizational IT infrastructure growth.

How to get into network engineering with no experience?

To become a network engineer trainee with no experience, start by learning fundamental networking concepts through online courses or certifications like CompTIA Network+ or Cisco CCNA. Gaining hands-on experience with network devices, practicing with simulation tools, and building a basic home lab can also help demonstrate your skills to employers.

What are network engineer trainees?

Network engineer trainees are entry-level professionals who are learning to design, implement, maintain, and troubleshoot computer networks within organizations. They typically work under the supervision of experienced network engineers, assisting with tasks such as configuring network hardware, monitoring network performance, and resolving connectivity issues. The role provides foundational experience in network technologies, security protocols, and industry best practices, serving as a stepping stone to more advanced network engineering positions.

What types of projects and responsibilities can a Network Engineer Trainee expect during their first year?

As a Network Engineer Trainee, you can expect to assist with configuring, monitoring, and maintaining network devices such as routers, switches, and firewalls under the supervision of senior engineers. You'll likely participate in troubleshooting network issues, documenting network layouts, and supporting upgrades or new deployments. Collaboration with IT support teams and gaining hands-on experience with network management tools are common, giving you exposure to real-world challenges and best practices. This foundation helps you build the technical skills and confidence needed for more advanced responsibilities as your career progresses.

What is the role of a network engineer trainee?

A network engineer trainee assists in designing, implementing, and maintaining computer networks under the supervision of experienced engineers. They typically learn to configure network devices, troubleshoot connectivity issues, and gain familiarity with tools like Cisco or Juniper equipment, often working toward industry certifications such as CCNA.
What are the most commonly searched types of Network Engineer jobs in Michigan? The most popular types of Network Engineer jobs in Michigan are:
What are popular job titles related to Network Engineer Trainee jobs in Michigan? For Network Engineer Trainee jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Network Engineer Trainee jobs in Michigan look for? The top searched job categories for Network Engineer Trainee jobs in Michigan are:
Infographic showing various Network Engineer Trainee job openings in Michigan as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
RESEARCH FELLOW

Full-time

Posted 23 hours ago


University Of Michigan rating

8.1

Company rating: 8.1 out of 10

Based on 140 frontline employees who took The Breakroom Quiz

134th of 544 rated colleges and universities


Job description

How to Apply
Please submit a CV, a cover letter describing your research experience, your scientific interests, and your specific reasons for applying to this lab, and contact information for three references. Cover letters that engage with the lab?s published work and articulate a research vision will receive strongest consideration. Review of applications will begin immediately and continue until the position is filled.
Who We Are
The Parker Lab generates mechanistic knowledge about how disease susceptibility is encoded in the non-coding genome, with a focus on metabolic traits. We combine statistical genetics, single-cell and single-nucleus multi-omics, and computational genomics to translate GWAS signals into biology. Our work spans method development, data generation (snRNA-seq, snATAC-seq, MPRA, spatial omics), and integrative analysis at scale, and we work closely with collaborators across the diabetes research community. Dr. Parker also directs the Epigenomic Metabolic Medicine Center (EM?C) at the University of Michigan.
We are a group of roughly 20 scientists, and we take lab culture seriously. We value openness, scientific rigor, direct and collegial communication, and good humor. We invest in each other through regular mentorship, quarterly wellness meetings, and an annual lab retreat. For more information, see http://theparkerlab.org.
Researchers from traditionally underrepresented groups are highly encouraged to apply. We value inclusivity.
Mission Statement
Michigan Medicine improves the health of patients, populations and communities through excellence in education, patient care, community service, research and technology development, and through leadership activities in Michigan, nationally and internationally. Our mission is guided by our Strategic Principles and has three critical components; patient care, education and research that together enhance our contribution to society.
Job Summary
Postdoctoral Fellow in Statistical Genetics and Regulatory Genomics
The Parker Lab at the University of Michigan (http://theparkerlab.org) is recruiting a Postdoctoral Fellow to lead statistical genetics research on type 2 diabetes and cardiometabolic disease. We are a computationally focused lab in the Departments of Computational Medicine & Bioinformatics, Human Genetics, and Biostatistics, working at the interface of GWAS, single-cell multi-omics, and tissue biology.
The successful candidate will own a research program centered on connecting non-coding disease variants to their cell- and context-specific regulatory mechanisms. Core activities include cell-type-specific e/caQTL mapping in single-nucleus multi-omic data (snRNA-seq and snATAC-seq), colocalization and fine-mapping against T2D and related trait GWAS, Mendelian randomization, heritability partitioning (for example, LDSC and related approaches), and regulatory network inference. Tissues of focus include pancreatic islets and skeletal muscle, with opportunities to extend to other metabolic tissues through active collaborations. The position has scientific latitude: we expect the postdoc to drive analytical strategy, make and defend methods choices, interpret results critically, and shape the direction of their projects in partnership with team.
The successful candidate will also help mentor graduate students, rotation students, and other trainees, and contribute to grant writing and manuscript preparation. This position is well suited for applicants who see a postdoc as the launching point for an independent academic research program.
Required Qualifications*
  • PhD (completed or imminent) in Biostatistics, Statistical Genetics, Computational Biology, Bioinformatics, Human Genetics, Computer Science, or a closely related quantitative field.
  • Demonstrated depth in statistical genetics methods, such as GWAS analysis, fine-mapping (for example, SuSiE), colocalization, Mendelian randomization, heritability estimation, or QTL mapping. We prioritize methodological understanding over tool familiarity.
  • Strong programming skills (R and/or Python) and comfort in a high-performance computing environment.
  • Evidence of analytical independence: the ability to define a question, choose appropriate methods, interpret results skeptically, troubleshoot unexpected findings, and revise course.
  • A publication record appropriate to career stage, including at least one first-author paper or preprint.
  • Excellent written and oral communication, including being both collaborative and coachable.
  • English language proficiency.

Desired Qualifications*
  • Experience with single-cell or single-nucleus multi-omic data (snRNA-seq, snATAC-seq, multiome).
  • Familiarity with regulatory genomics, chromatin data, or regulatory network inference.
  • Prior work on metabolic, endocrine, or cardiometabolic disease.

We welcome applicants with strong statistical genetics foundations who are ready to extend into single-cell data, and we also consider applicants with single-cell expertise who have a clear plan to develop statistical genetics depth.
Modes of Work
Positions that are eligible for hybrid or mobile/remote work mode are at the discretion of the hiring department. Work agreements are reviewed annually at a minimum and are subject to change at any time, and for any reason, throughout the course of employment. Learn more about the work modes .
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer and may use a third party administrator to conduct background screenings. Background screenings are performed in compliance with the Fair Credit Report Act. Pre-employment drug testing applies to all selected candidates, including new or additional faculty and staff appointments, as well as transfers from other U-M campuses.
Application Deadline
Job openings are posted for a minimum of seven calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO Statement
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.
Job Detail
Job Opening ID
272360
Working Title
RESEARCH FELLOW
Job Title
RESEARCH FELLOW
Work Location
Ann Arbor Campus
Ann Arbor, MI
Modes of Work
Onsite
Full/Part Time
Full-Time
Regular/Temporary
Regular
FLSA Status
Exempt
Organizational Group
Medical School
Department
MM Comp Med and Bioinformatics
Posting Begin/End Date
4/24/2026 - 6/30/2026
Career Interest
Research Fellows

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About University of Michigan

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The University of Michigan (U-M), based in Ann Arbor, MI, US, is one of America's most esteemed institutions in higher education. Established in 1817, it presides in the industry of education and research, providing a range of services including undergraduate, graduate, and professional education programs. Complementing this is an extensive research activity that has significantly contributed to various fields, from healthcare to engineering, humanities to sports. Upholding its mission "to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values", U-M consistently ranks among the top universities globally, a testament to its tradition of excellence in learning and research, and a deep commitment to innovation and discovery.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Ann Arbor, MI, US

Year founded

1817

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