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Remote Customer Support Engineer Jobs in Bend, OR

... a customer's computational drug discovery project. In this role, you'll apply your expertise to ... PubChem, DrugBank) to support AI-driven discovery platforms. * Evaluate compound-target ...

... customer project. In this role, you'll apply your expertise to help train next-generation AI ... support if needed. * Demonstrated excellence in written technical communication, with a track ...

Online Sales Assistant

Bend, OR · Remote

$23/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This fully remote position combines customer engagement with operational support. You'll assist prospective homebuyers by responding to inquiries, qualifying leads, scheduling appointments, and ...

Houston, TX, Bend, OR, or Boston, MA with consideration for hybrid or fully remote candidates ... adoption support. * Build strong working relationships across Project Management, Engineering ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Contribute to the study of the relationship between microorganisms and disease, supporting projects ...

Showing results 21-40

Remote Customer Support Engineer information

See Bend, OR salary details

$41.1K

$82.9K

$114.5K

How much do remote customer support engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote customer support engineer in Bend, OR is $82,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,800.00 and $94,900.00 per year, depending on experience, location, and employer.

What is a remote customer support engineer?

A Remote Customer Support Engineer is a technical professional who assists customers in troubleshooting, diagnosing, and resolving issues with a company's products or services, all while working from a remote location. They typically provide support via email, chat, or phone, and may use remote desktop tools to access customers' systems. Their role combines technical expertise with strong communication and problem-solving skills to ensure customer satisfaction. Remote Customer Support Engineers often collaborate with other technical teams to escalate complex problems and help improve products based on customer feedback.

What are the key skills and qualifications needed to thrive as a remote customer support engineer?

To thrive as a Remote Customer Support Engineer, you need a solid understanding of technical troubleshooting, product knowledge, and a relevant degree or experience in IT or engineering. Familiarity with ticketing systems like Zendesk, remote desktop tools, and CRM platforms is typically required, and certifications such as CompTIA A+ or similar can be beneficial. Outstanding communication, patience, and problem-solving abilities help build trust with clients and efficiently resolve issues. These skills ensure timely, effective support and high customer satisfaction in a remote work environment.

How does a remote customer support engineer typically collaborate with other technical teams while working off-site?

As a Remote Customer Support Engineer, collaboration with other technical teams, such as development and product engineering, is often facilitated through digital communication tools like Slack, email, and video conferencing. You’ll regularly participate in virtual meetings to discuss complex customer issues, share feedback, and escalate bugs or feature requests. Building strong relationships and maintaining clear, proactive communication is key to ensuring customer issues are resolved efficiently. Many companies also utilize ticketing systems and shared documentation platforms to streamline workflows and keep all team members aligned.

What is the difference between Remote Customer Support Engineer vs Remote Technical Support Specialist?

AspectRemote Customer Support EngineerRemote Technical Support Specialist
CredentialsTechnical certifications, customer service skillsTechnical certifications, troubleshooting skills
Work EnvironmentCustomer service platforms, remote communication toolsHelpdesk software, remote troubleshooting tools
Employer & IndustryTech companies, SaaS providersIT service providers, hardware/software vendors
Search & Comparison IntentUnderstanding roles, job requirementsJob differences, skills needed

The Remote Customer Support Engineer and Remote Technical Support Specialist roles share similar technical skills and work environments, often within tech or SaaS companies. However, the Support Engineer typically focuses more on customer relationship management and proactive support, while the Technical Support Specialist emphasizes troubleshooting and resolving technical issues. Both roles require technical certifications and excellent communication skills, but their primary focus and daily tasks differ slightly.

What are popular job titles related to Remote Customer Support Engineer jobs in Bend, OR?

For Remote Customer Support Engineer jobs in Bend, OR, the most frequently searched job titles are:

What job categories do people searching Remote Customer Support Engineer jobs in Bend, OR look for?

The top searched job categories for Remote Customer Support Engineer jobs in Bend, OR are:

What cities near Bend, OR are hiring for Remote Customer Support Engineer jobs?

Cities near Bend, OR with the most Remote Customer Support Engineer job openings:

Infographic showing various Remote Customer Support Engineer job openings in Bend, OR as of June 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 100% Remote job distribution, with an average salary of $82,890 per year, or $39.9 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Bend, OR • Remote

$80 - $110/hr

Part-time

Posted 18 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.