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Remote Computational Chemical Engineering Jobs (NOW HIRING)

Turing

Remote Chemistry Expert (PhD)

San Francisco, CA · Remote

$100 - $200/hr

Remote contract for PhDs in Chemistry, Chemical Engineering, or related fields. Work on cutting-edge projects with top AI labs while earning up to $100+/hour, fully remote, with flexible weekly hours.

Xenon7

Research Advisor, Computational Chemistry

Strong programming skills in Python, with experience in scientific computing libraries ... Familiarity with quantum chemical methods (DFT, ab initio) for electronic structure analysis of ...

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The team consists of professionals with backgrounds in engineering, physics, visual effects, 3D ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

New

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The team consists of professionals with backgrounds in engineering, physics, visual effects, 3D ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

New

Lockheed Martin

Computational Designer Staff

Grand Prairie, TX · On-site +1

$19.50 - $24/hr

The team consists of professionals with backgrounds in engineering, physics, visual effects, 3D ... Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will ...

The Pennsylvania State University

$109.30K - $164K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... Completion of a MS or MSc in an engineering, IT, or scientific discipline * Experience conducting ...

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Remote Computational Chemical Engineering information

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$92.5K

$135.2K

$161K

How much do remote computational chemical engineering jobs pay per year?

As of Jun 1, 2026, the average yearly pay for remote computational chemical engineering in the United States is $135,168.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $148,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Computational Chemical Engineer, and why are they important?

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 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 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.

More about Remote Computational Chemical Engineering jobs
What cities are hiring for Remote Computational Chemical Engineering jobs? Cities with the most Remote Computational Chemical Engineering job openings:
What are the most commonly searched types of Computational Chemical Engineering jobs? The most popular types of Computational Chemical Engineering jobs are:
What states have the most Remote Computational Chemical Engineering jobs? States with the most job openings for Remote Computational Chemical Engineering jobs include:
What job categories do people searching Remote Computational Chemical Engineering jobs look for? The top searched job categories for Remote Computational Chemical Engineering jobs are:
Remote Computational Chemical Engineering jobs near you
Infographic showing various Remote Computational Chemical Engineering job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 55% Full Time, 43% Part Time, and 1% Contract. Highlights an 62% Physical, 2% Hybrid, and 36% Remote job distribution, with an average salary of $135,168 per year, or $65 per hour.

Machine Learning Engineer

Kanak Elite Services Inc

Bodega Bay, CA • Remote

Contractor

Posted 15 days ago

Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Machine Learning Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Title:  Machine Learning Engineer
Location:  South San Francisco, CA  - hybrid role in Bay Arear
Position Type:  Contract 
 

Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, 

Work on ML workflows for molecular property prediction & generative modeling to accelerate drug discovery. 3–5 yrs esp. or PhD with publications in molecular design.

Must have Masters or PH.D. Must have experience in working environment or while getting Master’s or no to very little work exp with PH.D  in Molecular design. Need to have portfolio of their work or be published. Find me Machine Learning with Molecular experience in Bay Area or someone who will relocate as last resort. 
MindSource is looking for a Machine Learning Engineer to join our client's team in South San Francisco, CA.  They will be developing and deploying advanced computational methods for molecular design.  This is a 12-month hybrid contract.  

About the Role

  • Build pipelines for probabilistic molecular property prediction and Bayesian acquisition to power active learning–driven drug discovery.
  • Engineer workflows for molecular generative modeling and other innovative design approaches.
  • Collaborate with machine learning scientists, engineers, computational chemists, and biologists.
  • Partner with therapeutic development teams to analyze existing molecules and design new candidates.
  • Contribute to ongoing initiatives while driving new research directions.

Qualifications

  • PhD in Computer Science, Chemistry, Chemical Engineering, Computational Biology, Physics, or related quantitative field — OR MS + 3+ years of relevant industry experience.
  • Demonstrated expertise in production-ready ML workflows (e.g., PyTorch + Lightning + Weights & Biases).
  • Strong track record of achievement (e.g., high-impact first-author publication or equivalent).
  • Excellent written, visual, and verbal communication skills.

Preferred Experience

  • Knowledge of physical modeling (e.g., molecular dynamics) and cheminformatics (e.g., RDKit).
  • Background in molecular property prediction, computational chemistry, de novo drug design, medicinal chemistry, small molecule design, self-supervised learning, geometric deep learning, Bayesian optimization, probabilistic modeling, or statistical methods.
  • Hands-on experience with Python, PyTorch, Torch Geometric, PyTorch Lightning, RDKit, and BoTorch.
  • Public portfolio of computational projects (e.g., GitHub).