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Remote Computational Chemical Engineering Jobs in California

Pfizer

Senior Computational Chemist

La Jolla, CA · On-site +1

$106K - $176K/yr

Key Responsibilities Chemistry Data Enablement (Data Science / Data Engineering): * Lead the design ... chemical spaces * Experience analyzing large, complex chemistry-related datasets. * Strong ...

Chemify Ltd

Staff CADD Scientist

San Francisco, CA · On-site +1

... computational chemists, in-house and partner medicinal chemists, AI researchers, data engineers ... chemical synthesis at scale. Autonomy: Reporting to the Head of Advanced Machine Learning, you will ...

Oklo

Process Engineer - Fuel Recycling

Santa Clara, CA · On-site +1

$100K - $160K/yr

Degree in chemical engineering or related field * 7+ years of experience in chemical engineering or ... Oklo requires remote employees to travel to headquarters (Santa Clara, CA) twice a quarter annually ...

LatchBio

AI Biologist - Function

San Francisco, CA · On-site +1

$120K - $180K/yr

Bioinformatics Engineer - Function As molecular data generation and frontier model intelligence ... Your hands-on expertise in functional biology assays and computational modeling will define how we ...

Valdera

Chemical Data Scientist

San Francisco, CA · Remote

This requires strong data engineering fundamentals and a working knowledge of chemical industry ... remote environment with ambiguous, evolving priorities \\n Salary Range: Salary ranges are ...

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

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 California? The most popular types of Computational Chemical Engineering jobs in California are:
What are popular job titles related to Remote Computational Chemical Engineering jobs in California? For Remote Computational Chemical Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Computational Chemical Engineering jobs in California look for? The top searched job categories for Remote Computational Chemical Engineering jobs in California are:
What cities in California are hiring for Remote Computational Chemical Engineering jobs? Cities in California with the most Remote Computational Chemical Engineering job openings:
Remote Computational Chemical Engineering jobs near you

Computational Biologist - Fully Remote | Upto $100/hr

Mercor

San Francisco, CA • Remote

$100/hr

Full-time

Re-posted 29 days ago

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology
Type: Contract
Compensation: $70–$100/hour
Location: Remote
Commitment: 15–20 hours/week

Role Responsibilities

  • Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools.
  • Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning.
  • Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty.
  • Collaborate with AI research teams to improve model outputs and training data quality.
  • Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

  • Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
  • Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work.
  • Strong Python programming skills for writing problem setups, oracle functions, and solution validators.
  • Ability to work independently and iterate on problem designs based on calibration feedback.
  • Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred

  • Experience across multiple listed domains or tools.
  • Familiarity with benchmark or evaluation design.
  • Background in scientific pedagogy or exam/problem-set design.
  • Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.