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Technical Support Analyst Remote Jobs in Springfield, MO

micro1 AI

Biostatistician

Springfield, MO · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... trial analysis, regulatory submission reviews, and observational study assessments. * Source ...

micro1 AI

Director of Biostatistics

Springfield, MO · Remote

$60 - $100/hr

Remote micro1 is engaging Biostatisticians to contribute to a customer's advanced project in AI ... trial analysis, regulatory submission reviews, and observational study assessments. * Source ...

micro1 AI

Biostatistician

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Preferred Qualifications * 5+ years as a biostatistician supporting clinical trials at a sponsor ...

micro1 AI

Director of Biostatistics

Springfield, MO · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... Preferred Qualifications * 5+ years as a biostatistician supporting clinical trials at a sponsor ...

micro1 AI

AI Training Specialist - Physics

Springfield, MO · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Deliver structured feedback designed to support iterative enhancement of submitted work and project ...

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

As of Aug 21, 2026, the average hourly pay for technical support analyst remote in Springfield, MO is $25.05, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $28.41 per hour, depending on experience, location, and employer.

What is a technical support analyst remote?

A Technical Support Analyst Remote job involves troubleshooting technical issues, providing support to users, and ensuring smooth operation of software and hardware—all while working remotely. Analysts assist customers via phone, email, or chat, diagnosing problems and offering solutions. They may also document issues, escalate complex cases, and contribute to improving support processes. Strong technical knowledge, communication skills, and problem-solving abilities are essential for this role.

What are the key skills and qualifications needed to thrive in the technical support analyst remote position?

To thrive as a Technical Support Analyst Remote, you need strong problem-solving skills, technical troubleshooting ability, and often a degree in computer science or a related field. Familiarity with ticketing systems like Zendesk or ServiceNow, remote desktop tools, and certifications such as CompTIA A+ or Microsoft Certified Solutions Associate (MCSA) are commonly required. Excellent communication, patience, and the ability to work independently are standout soft skills in this role. These strengths help ensure timely issue resolution and high customer satisfaction in a virtual work environment.

What are the primary challenges of working remotely as a technical support analyst, and how can they be managed?

One of the main challenges of working remotely as a Technical Support Analyst is maintaining clear, prompt communication with both customers and team members without face-to-face interaction. It can also be difficult to troubleshoot complex issues without being physically present with the user's hardware, requiring strong diagnostic skills and effective use of remote tools. Successful remote analysts develop strong organizational habits, proactively document solutions, and utilize collaborative platforms to stay connected with their team. Companies often provide structured support channels and regular check-ins to help analysts stay engaged and effective in their roles.

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Technical Support Analyst Remote jobs near you

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Springfield, MO • 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.

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