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Junior Technical Support Analyst Remote Jobs in Appleton, WI

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Junior Technical Support Analyst Remote information

See Appleton, WI salary details

$15

$31

$52

How much do junior technical support analyst remote jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for junior technical support analyst remote in Appleton, WI is $31.34, according to ZipRecruiter salary data. Most workers in this role earn between $22.50 and $34.47 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior technical support analyst remote, and why are they important?

To thrive as a Junior Technical Support Analyst Remote, you need a solid understanding of computer systems, troubleshooting, and basic networking, often supported by a relevant degree or technical certification. Familiarity with ticketing systems like Zendesk, remote desktop tools, and knowledge of operating systems such as Windows or macOS is typically required. Strong communication, patience, and problem-solving skills help you effectively assist users and resolve technical issues. These competencies are essential to deliver timely technical support and maintain customer satisfaction in a remote work environment.

What is the difference between Junior Technical Support Analyst Remote vs Technical Support Specialist Remote?

AspectJunior Technical Support Analyst RemoteTechnical Support Specialist Remote
Required CredentialsAssociate degree or equivalent, basic technical knowledgeHigh school diploma or equivalent, some technical training
Work EnvironmentRemote, entry-level support rolesRemote, customer-focused technical support
Employer & Industry UsageIT companies, tech support firms, software providersIT services, hardware vendors, software companies

The Junior Technical Support Analyst Remote typically requires foundational technical skills and an entry-level certification, focusing on troubleshooting and customer support. The Technical Support Specialist Remote may have similar credentials but often emphasizes customer service and product knowledge. Both roles are remote and common in tech industries, but the analyst role may involve more technical diagnostics, while the specialist focuses on customer interaction.

What does a junior technical support analyst do, especially in a remote role?

A Junior Technical Support Analyst provides first-level support for users experiencing technical issues with software, hardware, or network systems. In a remote role, they primarily communicate with clients or employees through email, chat, or phone to troubleshoot problems, guide users through solutions, and escalate complex issues to senior team members. They also document issues, maintain support records, and may assist with basic system updates or installations, all while working from a remote location. This role requires good communication skills, problem-solving abilities, and a basic understanding of IT systems.

How does a junior technical support analyst typically collaborate with other teams in a remote environment?

As a Junior Technical Support Analyst working remotely, you'll frequently collaborate with cross-functional teams such as engineering, product management, and customer service through digital channels like email, chat, and video calls. Effective communication and documentation are essential, as you'll often need to escalate complex issues or relay customer feedback to the appropriate team. Regular virtual meetings and shared task management tools help ensure everyone stays aligned and support requests are resolved efficiently. This collaborative structure not only enhances problem-solving but also provides valuable learning opportunities from more experienced colleagues.

What cities near Appleton, WI are hiring for Junior Technical Support Analyst Remote jobs?

Cities near Appleton, WI with the most Junior Technical Support Analyst Remote job openings:

Junior Technical Support Analyst Remote jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Green Bay, WI • Remote

$80 - $110/hr

Part-time

Posted 14 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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