ZipRecruiter

Log In

1

Computational Chemical Engineering Intern Jobs in Raleigh, NC

micro1 AI

Bioinformatics Software Engineer

Cary, NC · 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 ...

NCSU

Research Engineer

Raleigh, NC · On-site

We are the only nuclear engineering program in the state of North Carolina and one of the premier ... Computational Modeling and Simulation: Formulate and execute reactor core and system simulations ...

Kimley-Horn

Structural Intern

Raleigh, NC · On-site

Structural Engineering * Mechanical, Electrical, Biological, Biosystems, Chemical, or Agricultural Engineering * Engineering Technology Why Kimley-Horn? At Kimley-Horn, we do things differently.

Valspec

Validation Engineer I

Raleigh, NC · On-site

Experience as a Co-Op or Intern in life sciences, chemical or industrial engineering, energy, or manufacturing preferred. This particular role is in North Carolina but may require travel on occasion.

previous page

Showing results 41-49

All JobsComputational Chemical Engineering Intern JobsComputational Chemical Engineering Intern Jobs in Raleigh, NC

Computational Chemical Engineering Intern information

See Raleigh, NC salary details

$10

$18

$28

How much do computational chemical engineering intern jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for computational chemical engineering intern in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What does a computational chemical engineering intern do?

A Computational Chemical Engineering Intern uses computer-based models, simulations, and data analysis to solve problems in chemical engineering. Their tasks may include developing or running simulations of chemical processes, analyzing large datasets, and helping to optimize production systems. They often work with software tools such as MATLAB, Aspen Plus, or Python, and collaborate with engineers and researchers to improve process efficiency and safety. This internship provides hands-on experience in applying computational methods to real-world chemical engineering challenges.

What types of projects do computational chemical engineering interns typically work on during their internship?

Computational Chemical Engineering Interns often contribute to projects involving process simulation, molecular modeling, or data analysis using specialized software. They may work on optimizing chemical processes, designing experiments virtually, or analyzing large datasets to improve efficiency. Interns frequently collaborate with multidisciplinary teams, including process engineers, chemists, and data scientists, to solve real-world engineering problems. These experiences help interns develop technical skills and gain insight into how computational methods are applied in the chemical engineering industry.

What are the key skills and qualifications needed to thrive as a computational chemical engineering intern, and why are they important?

To thrive as a Computational Chemical Engineering Intern, you typically need foundational knowledge in chemical engineering principles, thermodynamics, and process modeling, often supported by ongoing or completed coursework toward a relevant degree. Familiarity with simulation software such as Aspen Plus, MATLAB, or COMSOL Multiphysics, and basic programming skills in Python or MATLAB are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help interns interpret data and work collaboratively on research teams. These skills and qualities enable interns to contribute meaningfully to complex engineering projects and adapt to the dynamic technical challenges in the field.

What is the difference between Computational Chemical Engineering Intern vs Chemical Engineering Intern?

AspectComputational Chemical Engineering InternChemical Engineering Intern
Required CredentialsEnrolled in or recent graduate of chemical engineering or related program; familiarity with programming and simulation toolsEnrolled in or recent graduate of chemical engineering program; basic engineering coursework
Work EnvironmentPrimarily office and computer-based work, focusing on simulations and modelingLaboratory, plant visits, and hands-on process work
Industry UsageUsed in companies emphasizing process simulation, modeling, and computational analysisCommon across manufacturing, energy, and chemical plants for process development

The Computational Chemical Engineering Intern role focuses on simulation, modeling, and computational analysis, often requiring programming skills. In contrast, the Chemical Engineering Intern typically involves more hands-on process work and laboratory tasks. Both roles are valuable in chemical industry internships but differ mainly in work environment and skill emphasis.

What are the most commonly searched types of Computational Chemical Engineering jobs in Raleigh, NC?

The most popular types of Computational Chemical Engineering jobs in Raleigh, NC are:

What are popular job titles related to Computational Chemical Engineering Intern jobs in Raleigh, NC?

For Computational Chemical Engineering Intern jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Computational Chemical Engineering Intern jobs in Raleigh, NC look for?

The top searched job categories for Computational Chemical Engineering Intern jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Computational Chemical Engineering Intern jobs?

Cities near Raleigh, NC with the most Computational Chemical Engineering Intern job openings:

Computational Chemical Engineering Intern jobs near you
Infographic showing various Computational Chemical Engineering Intern job openings in Raleigh, NC as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $39,053 per year, or $18.8 per hour.

Bioinformatics Software Engineer

micro1 AI

Cary, NC • Remote

$80 - $110/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

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.

Apply