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Life Science Research Jobs in Michigan (NOW HIRING)

OpTech

Scientist-Research Engineer (ML)

Dearborn, MI · On-site

The ideal candidate will leverage data science, machine learning, physics-based modeling, and ... Useful Life (RUL) for automotive applications. Key Responsibilities * Develop prognostic and ...

Michigan Medicine

Test, Chair Position

Ann Arbor, MI · On-site

With members of the department and other leaders at the University, establish a unifying plan to leverage existing institutional strengths to advance life science research across the University.

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How much do life science research jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for life science research in Michigan is $8.73, according to ZipRecruiter salary data. Most workers in this role earn between $8.75 and $8.75 per hour, depending on experience, location, and employer.

What is life science research?

Life science research is the scientific study of living organisms, including humans, animals, plants, and microorganisms. Researchers in this field investigate the structure, function, growth, origin, evolution, and distribution of living systems. They use a variety of techniques and tools to understand biological processes and develop solutions to real-world problems, such as disease prevention, agricultural improvements, and environmental conservation. Life science research is essential for advancing knowledge in fields like medicine, genetics, biotechnology, and ecology.

What careers can I pursue with life science?

A career in life science research can lead to roles such as biomedical scientist, laboratory technician, research associate, or clinical researcher. These positions often require knowledge of laboratory techniques, data analysis, and sometimes advanced degrees or certifications in biology, biochemistry, or related fields.

What is the difference between Life Science Research vs Laboratory Technician?

AspectLife Science ResearchLaboratory Technician
Required CredentialsBachelor's or Master's in Biology, Biochemistry, or related fieldsAssociate's degree or relevant certification
Work EnvironmentResearch labs, academic institutions, biotech companiesClinical, industrial, or research laboratories
Employer & Industry UsageResearch and development, academia, biotech firmsQuality control, testing, routine lab procedures
Common Search & ComparisonFocuses on experimental design, data analysis, and hypothesis testingFocuses on sample preparation, testing, and lab maintenance

Life Science Research involves designing experiments, analyzing data, and advancing scientific knowledge, often requiring higher education. Laboratory Technicians perform routine tests, prepare samples, and support research activities, typically with technical certifications. Both roles are essential in scientific labs but differ in responsibilities, credentials, and work scope.

What are the key skills and qualifications needed to thrive as a life science researcher?

To thrive as a Life Science Researcher, you need a strong background in biology, chemistry, or related fields, often supported by a relevant degree such as a bachelor's, master's, or PhD. Familiarity with laboratory techniques, data analysis software (such as SPSS or R), and scientific writing are typically required, along with adherence to safety and ethical standards. Critical thinking, attention to detail, and effective collaboration enable researchers to design experiments, solve problems, and work well within a team. These skills and qualities are essential for generating reliable scientific results and advancing knowledge in the life sciences.

What are some common challenges life science researchers face when conducting experiments, and how can they be addressed?

Life science researchers often encounter challenges such as reproducibility of results, managing large datasets, and troubleshooting experimental protocols. To address these issues, it's important to maintain meticulous documentation, regularly calibrate equipment, and stay informed about best practices in experimental design. Collaborating closely with colleagues and seeking feedback can also help identify potential pitfalls early, improving both the reliability and efficiency of research outcomes.
What are the most commonly searched types of Life Science Research jobs in Michigan? The most popular types of Life Science Research jobs in Michigan are:
What are popular job titles related to Life Science Research jobs in Michigan? For Life Science Research jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Life Science Research jobs in Michigan look for? The top searched job categories for Life Science Research jobs in Michigan are:
Life Science Research jobs near you
Infographic showing various Life Science Research job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $18,164 per year, or $8.7 per hour.

Scientist-Research Engineer (ML)

OpTech

Dearborn, MI • On-site

Other

Posted 5 days ago

Job description

Job Summary

We are seeking a highly motivated Scientist / Research Engineer to develop and deploy advanced prognostics and predictive maintenance solutions for vehicle systems. The ideal candidate will leverage data science, machine learning, physics-based modeling, and signal processing techniques to predict component degradation and estimate Remaining Useful Life (RUL) for automotive applications.

Key Responsibilities

  • Develop prognostic and predictive maintenance algorithms using vehicle and connected vehicle data.
  • Build machine learning and physics-informed models to analyze component health and degradation.
  • Process and analyze large datasets using Python, SQL, and cloud platforms.
  • Develop fault detection and anomaly detection solutions for vehicle systems.
  • Perform modeling and simulation using MATLAB/Simulink.
  • Collaborate with cross-functional teams to deploy solutions into production vehicles.
  • Support embedded software implementation in C++ environments.

Required Skills

  • Python
  • SQL
  • C++
  • Data Science & Machine Learning
  • MATLAB / Simulink
  • Algorithms & Statistical Analysis
  • Google Cloud Platform (Google Cloud Platform) or other cloud environments
  • Signal Processing (DSP)
  • Predictive Analytics & Prognostics

Required Qualifications

  • Master''s degree in Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics, Physics, or related field.
  • 4+ years of experience applying statistical and machine learning techniques.
  • 3+ years of experience with Python and SQL.
  • Experience with predictive modeling, sensor data analysis, and vehicle diagnostics.
  • Strong analytical and problem-solving skills.

Preferred Qualifications

  • PhD in a related technical field.
  • Experience in Automotive, Connected Vehicle, EV, Controls, Robotics, or Prognostics & Health Management (PHM).
  • Knowledge of Spark, Hadoop, ATI, ETAS, and embedded systems.
  • Experience with machine learning techniques such as PCA, ANOVA, Clustering, Neural Networks, Time Series Forecasting, and Causal Inference.

Apply