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Remote Chemical Engineering Lecturer Jobs in Rochester, NY

Remote Chemical Engineering Lecturer information

See Rochester, NY salary details

$26.6K

$61.8K

$89.3K

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

As of Aug 29, 2026, the average yearly pay for remote chemical engineering lecturer in Rochester, NY is $61,811.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $72,500.00 per year, depending on experience, location, and employer.

What is a remote chemical engineering lecturer?

Remote Chemical Engineering Lecturers are professionals who teach chemical engineering courses online rather than in traditional classroom settings. They deliver lectures, design course materials, and interact with students using digital platforms such as video conferencing and learning management systems. These lecturers often work for universities, colleges, or online education providers and may teach undergraduate or graduate-level courses. Remote positions allow for flexible work locations and can reach a diverse student population worldwide.

What are the key skills and qualifications needed to thrive as a remote chemical engineering lecturer?

To thrive as a Remote Chemical Engineering Lecturer, you need an advanced degree in chemical engineering or a related field, in-depth subject knowledge, and proven teaching or training experience. Familiarity with virtual learning platforms (such as Zoom or Blackboard), digital assessment tools, and instructional design software is typically required. Strong communication, adaptability, and the ability to engage and motivate students remotely are essential soft skills. These competencies ensure effective knowledge transfer, foster student success, and maintain high educational standards in an online environment.

What are some unique challenges of teaching chemical engineering courses remotely, and how can I effectively engage students in a virtual setting?

Teaching chemical engineering remotely often means finding innovative ways to demonstrate complex concepts and processes that would typically be taught in a laboratory or hands-on environment. Engaging students virtually can be challenging, but using interactive simulations, digital whiteboards, and real-world case studies can significantly enhance understanding. Regular virtual office hours, group projects, and discussion forums also foster collaboration and help students stay connected. Adapting your teaching methods to incorporate varied multimedia resources will help maintain student interest and participation.

What is the difference between Remote Chemical Engineering Lecturer vs Remote Chemical Engineering Professor?

AspectRemote Chemical Engineering LecturerRemote Chemical Engineering Professor
CredentialsTypically requires a master's degree or PhD in chemical engineering or related fieldUsually requires a PhD in chemical engineering or a closely related discipline
Work EnvironmentOnline teaching platforms, virtual classrooms, academic institutionsOnline university or college, research institutions, academic conferences
Employer & Industry UsageUniversities, online education providers, collegesUniversities, research universities, higher education institutions
Common Search & ComparisonYesYes

The main difference between a Remote Chemical Engineering Lecturer and a Remote Chemical Engineering Professor lies in their credentials and roles. Lecturers often hold master's or PhD degrees and focus on delivering courses online, while professors typically have a PhD and engage in research and higher-level academic responsibilities. Both roles are found in online higher education settings, but professors usually have more research and publication duties.

What are the most commonly searched types of Chemical Engineering Lecturer jobs in Rochester, NY?

The most popular types of Chemical Engineering Lecturer jobs in Rochester, NY are:

What are popular job titles related to Remote Chemical Engineering Lecturer jobs in Rochester, NY?

For Remote Chemical Engineering Lecturer jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Remote Chemical Engineering Lecturer jobs in Rochester, NY look for?

The top searched job categories for Remote Chemical Engineering Lecturer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Remote Chemical Engineering Lecturer jobs?

Cities near Rochester, NY with the most Remote Chemical Engineering Lecturer job openings:

Bioinformatics Software Engineer

micro1 AI

Rochester, NY • Remote

$80 - $110/hr

Part-time

Posted 26 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.