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Remote Chemical Engineer Training Jobs in Florida

micro1 AI

AI Training Specialist - Chemistry

Deltona, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

micro1 AI

AI Training Specialist - Chemistry

Miramar, FL · Remote

$70 - $90/hr

Remote micro1 is engaging Chemistry Specialists to participate in a project supporting a leading ... Conduct qualitative and quantitative chemical analyses and experiments to support product ...

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Remote Chemical Engineer Training information

What are the key skills and qualifications needed to thrive in remote chemical engineer training?

To thrive in Remote Chemical Engineer Training, you need a solid background in chemical engineering principles, typically supported by a relevant degree and foundational coursework. Familiarity with simulation software (like Aspen Plus or CHEMCAD), virtual collaboration tools, and basic programming is usually required. Strong self-motivation, communication, and time management skills help trainees excel in a remote learning environment. These skills ensure effective knowledge acquisition, collaboration, and application of engineering concepts in a flexible, online setting.

What is the difference between Remote Chemical Engineer Training vs Remote Chemical Technician Training?

AspectRemote Chemical Engineer TrainingRemote Chemical Technician Training
CredentialsEngineering degree, PE license (optional)Technical diploma or associate degree
Work EnvironmentDesign, process development, project managementMonitoring, troubleshooting, equipment operation
Industry UsageResearch labs, manufacturing, consultingPlant operations, quality control

Remote Chemical Engineer Training focuses on designing processes and developing chemical solutions, often requiring an engineering degree. In contrast, Remote Chemical Technician Training emphasizes operational support, troubleshooting, and equipment maintenance, typically needing a technical diploma. Both roles are vital in the chemical industry, but they differ in responsibilities, credentials, and work environments.

What are some common challenges faced during remote chemical engineer training and how can they be overcome?

Remote chemical engineer training often presents challenges such as limited hands-on lab experience and reduced face-to-face collaboration with mentors or peers. To overcome these, trainees can take advantage of virtual lab simulations, participate actively in online discussions, and seek regular feedback during virtual meetings. Building a structured routine and utilizing digital communication tools can also help maintain engagement and foster a sense of connection with the team. Proactively seeking mentorship and networking opportunities online will further enhance the training experience and professional growth.

What is remote chemical engineer training?

Remote chemical engineer training is a form of professional education that allows aspiring or current chemical engineers to learn and develop their skills online, rather than in a traditional classroom or on-site setting. This training typically covers fundamental chemical engineering concepts, software tools, safety protocols, and industry best practices through virtual lectures, interactive modules, and online assessments. It offers flexibility for students and professionals to learn at their own pace while still gaining valuable technical knowledge and certifications that are recognized in the industry.

What cities in Florida are hiring for Remote Chemical Engineer Training jobs?

Cities in Florida with the most Remote Chemical Engineer Training job openings:

Remote Chemical Engineer Training jobs near you

AI Training Specialist - Cheminformatics

micro1 AI

Orlando, FL • Remote

$80 - $110/hr

Part-time

Posted 13 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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