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Part Time Remote Computer Support Specialist Jobs in Minnesota

Harris

Part-time team members will typically need to dedicate an average of 20-30 hours per week to care ... Skilled in using various computer programs (If you don't love computers, you won't love this ...

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Part Time Remote Computer Support Specialist information

What is the difference between Part Time Remote Computer Support Specialist vs Part Time Remote IT Help Desk Technician?

AspectPart Time Remote Computer Support SpecialistPart Time Remote IT Help Desk Technician
CertificationsCompTIA A+, Network+CompTIA A+, Microsoft Certified
Work EnvironmentRemote, client sites, support centersRemote, call centers, support desks
Industry UsageIT services, tech support companiesCorporate IT departments, MSPs
Search IntentTechnical support, troubleshootingHelp desk, customer support

Both roles involve providing technical support remotely, often requiring similar certifications like CompTIA A+. The main difference lies in their focus: the Computer Support Specialist handles broader troubleshooting and hardware/software issues, while the Help Desk Technician primarily manages customer inquiries and software problems. Understanding these distinctions helps job seekers find the role that best matches their skills and career goals.

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For Part Time Remote Computer Support Specialist jobs in Minnesota, the most frequently searched job titles are:

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Cities in Minnesota with the most Part Time Remote Computer Support Specialist job openings:

Part Time Remote Computer Support Specialist jobs near you
Infographic showing various Part Time Remote Computer Support Specialist job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Cheminformatics Specialist - Remote

micro1 AI

Rochester, MN • Remote

$80 - $110/hr

Part-time

Posted 17 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.

Apply