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Remote Computational Chemical Engineering Jobs in Ohio

micro1 AI

Domain Expert - (STEM PhD)

Columbus, OH · Remote

$80 - $90/hr

PhD Engineer (Electrical, Mechanical, Chemical) Role Type: Contractor Location: Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a ...

micro1 AI

Digital Chemistry Specialist - Remote

Akron, OH · Remote

$90 - $120/hr

Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

micro1 AI

Digital Chemistry Specialist - Remote

Akron, OH · Remote

$90 - $120/hr

Evaluate and synthesize findings from biological, chemical, and clinical data sources. * Offer ... Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry ...

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All JobsComputational Chemical Engineering JobsRemote Computational Chemical Engineering JobsRemote Computational Chemical Engineering Jobs in Ohio

Remote Computational Chemical Engineering information

What is remote computational chemical engineering?

Remote computational chemical engineering is a field where engineers use computer simulations and mathematical models to design, analyze, and optimize chemical processes from a remote location. These professionals work with specialized software to predict the behavior of chemical systems, such as reaction kinetics, fluid dynamics, and material properties. By working remotely, they can collaborate with teams across the globe, contribute to research and development, and solve complex engineering problems without being physically present in a lab or office. This approach offers flexibility and access to a wider range of projects in academia, industry, and research organizations.

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

To thrive as a Remote Computational Chemical Engineer, you need a solid background in chemical engineering, advanced mathematics, and computational modeling, often supported by a relevant degree such as a BS or MS in Chemical Engineering. Proficiency with simulation software (e.g., Aspen Plus, COMSOL Multiphysics), programming languages (such as Python or MATLAB), and familiarity with cloud collaboration tools are typically required. Strong problem-solving abilities, self-motivation, and effective communication are standout soft skills for remote collaboration and project management. These skills ensure the accurate modeling and optimization of chemical processes, efficient remote teamwork, and successful delivery of complex engineering solutions.

What are some common challenges faced by remote computational chemical engineers and how can they be addressed?

Remote computational chemical engineers often encounter challenges related to effective collaboration and communication with multidisciplinary teams, as projects can involve chemists, software developers, and project managers across different time zones. Managing complex simulations and large data sets securely from a remote environment also requires robust IT infrastructure and self-discipline. To address these challenges, it's helpful to establish clear communication protocols, leverage collaboration tools, and proactively schedule regular check-ins with team members. Additionally, remote engineers should ensure they have access to reliable computing resources and seek out opportunities for virtual training to stay updated with the latest software and modeling techniques.

What is the difference between Remote Computational Chemical Engineering vs Remote Process Engineer?

AspectRemote Computational Chemical EngineeringRemote Process Engineer
Required CredentialsBachelor's/Master's in Chemical Engineering, programming skillsBachelor's/Master's in Chemical or Mechanical Engineering, process knowledge
Work EnvironmentPrimarily computer-based, data analysis, modelingDesign, optimize, and troubleshoot industrial processes remotely
Industry UsageResearch, simulation, software developmentManufacturing, refining, chemical production
Common Search/ComparisonRemote Chemical Engineering roles involving computationRemote process optimization roles

Remote Computational Chemical Engineering focuses on modeling, simulation, and data analysis using programming skills, often in research or software development contexts. In contrast, Remote Process Engineer roles involve designing and optimizing chemical processes remotely within manufacturing or production environments. Both roles require chemical engineering credentials but differ in daily tasks and industry focus.

What are the most commonly searched types of Computational Chemical Engineering jobs in Ohio? The most popular types of Computational Chemical Engineering jobs in Ohio are:
What are popular job titles related to Remote Computational Chemical Engineering jobs in Ohio? For Remote Computational Chemical Engineering jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Computational Chemical Engineering jobs in Ohio look for? The top searched job categories for Remote Computational Chemical Engineering jobs in Ohio are:
Remote Computational Chemical Engineering jobs near you
Infographic showing various Remote Computational Chemical Engineering job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 3% Part Time, 6% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI Training Specialist - Cheminformatics

micro1 AI

Columbus, OH • Remote

$80 - $110/hr

Part-time

Posted 10 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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