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Computational Chemical Engineering Jobs in Michigan

Master's in Mechanical, Electrical, Computer Science, Computer engineering, Physics, Mathematics or ... computational tool (e.g. MATLAB, ATI, Simulink) Experience with Digital Signal Processing (DSP ...

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Computational Chemical Engineering information

What are the key skills and qualifications needed to thrive as a computational chemical engineer?

To excel in Computational Chemical Engineering, you need a solid background in chemical engineering principles, applied mathematics, and computer programming, typically supported by a relevant degree. Familiarity with simulation software such as Aspen Plus, MATLAB, or COMSOL, and experience with coding languages like Python or C++, are commonly required; certifications in process modeling or data analysis can be advantageous. Strong analytical thinking, teamwork, and effective communication skills help professionals solve complex problems and present findings to multidisciplinary teams. These capabilities are vital for developing accurate simulations, optimizing processes, and facilitating innovation in industrial and research settings.

Is computational chemical engineering a good career?

Computational chemical engineering is a growing field that combines chemical engineering principles with computer modeling and simulation skills. It offers opportunities in industries such as energy, pharmaceuticals, and materials, often requiring knowledge of programming, thermodynamics, and process design. The career can be rewarding for those interested in problem-solving and technology-driven environments.

What is computational chemical engineering?

A Computational Chemical Engineering job involves using computer simulations, mathematical models, and algorithmic techniques to analyze and optimize chemical processes. Engineers in this field apply computational tools to study reaction kinetics, transport phenomena, and materials at various scales, from molecular to industrial processes. These professionals work in industries such as pharmaceuticals, energy, and materials science to improve efficiency, safety, and sustainability. Their expertise is essential for developing new technologies, designing experiments, and solving complex engineering problems.

What are the typical daily responsibilities of a computational chemical engineer?

Professionals in Computational Chemical Engineering typically spend their days developing and running mathematical models to simulate chemical processes, analyzing large datasets, and optimizing system designs. They often collaborate closely with process engineers, researchers, and IT specialists to interpret modeling results and translate them into practical recommendations for process improvements. Regular responsibilities also include preparing technical documentation, presenting findings to project teams or stakeholders, and troubleshooting simulation or software issues as needed. This role offers a balance of independent computational work and teamwork, making it both technically challenging and highly collaborative.

What are the most commonly searched types of Computational Chemical Engineering jobs in Michigan?

The most popular types of Computational Chemical Engineering jobs in Michigan are:

What are popular job titles related to Computational Chemical Engineering jobs in Michigan?

For Computational Chemical Engineering jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Computational Chemical Engineering jobs in Michigan look for?

The top searched job categories for Computational Chemical Engineering jobs in Michigan are:

Infographic showing various Computational Chemical Engineering job openings in Michigan as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

AI Training Specialist - Life Sciences

micro1 AI

Lansing, MI • Remote

$90 - $120/hr

Part-time

Posted 19 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.