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Computational Chemical Engineering Jobs in Colorado

micro1 AI

Bioinformatics Software Engineer

Boulder, CO · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Centennial, CO · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Arvada, CO · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

Medium

Senior Mechanical Engineer

Brighton, CO · On-site

$140 - $160/hr

Ability and experience to run Finite Element Analysis and Computational Fluid Dynamics simulations ... Bachelor's degree in Mechanical, Chemical, or Industrial Engineering with 7 to 10 years of direct ...

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Computational Chemical Engineering information

See Colorado salary details

$97.3K

$142.1K

$169.3K

How much do computational chemical engineering jobs pay per year?

As of Aug 21, 2026, the average yearly pay for computational chemical engineering in Colorado is $142,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,400.00 and $156,200.00 per year, depending on experience, location, and employer.

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 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 promising career that combines chemical engineering principles with computer modeling and simulation skills. It offers opportunities in industries such as energy, pharmaceuticals, and materials, often requiring proficiency in programming, data analysis, and chemical process knowledge. Job prospects are generally strong due to the increasing reliance on digital tools in engineering design and optimization.

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

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

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

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

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

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

Computational Chemical Engineering jobs near you
Infographic showing various Computational Chemical Engineering job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $142,131 per year, or $68.3 per hour.

Bioinformatics Software Engineer

micro1 AI

Boulder, CO • Remote

$80 - $110/hr

Part-time

Posted 18 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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