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Remote Data Center Design Jobs in Utah (NOW HIRING)

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · Remote

$80 - $110/hr

... clinical data sources. * Provide expert insights on structure-activity and structure-property ... experimental design considerations. * Build and implement code-based benchmark tasks (e.g ...

Wood Plc

Senior Electrical Engineer

Salt Lake City, UT · On-site +1

$104K - $135K/yr

Work Location Position is part of the Mountain Region Design Center. Candidate can sit in either ... Data collection, coordination, analyses, report generation, and design development * Effective ...

Welo Data

English AI Maps Trainer

Salt Lake City, UT · Remote

$20.30/hr

Maps Visual Design Relevance Evaluator - English (US) · Contract type: Freelance · Hourly rate: US$20.30 · Language: English (US) · Location: Remote · Estimated volume: 8 - 10 hours · Start ...

Fervo Energy

GIS Developer

Salt Lake City, UT · Remote

Design mobile data collection forms, intelligent map packages, and offline areas tailored to remote geothermal project site conditions. * Manage ArcGIS Mobile Worker licenses, user provisioning ...

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Remote Data Center Design information

What is remote data center design?

Remote data center design involves planning, engineering, and managing data center infrastructure from a location separate from the physical site. Professionals in this field use digital tools and communication technologies to create layouts, specify equipment, and ensure systems meet performance, security, and efficiency standards. This approach enables collaboration across global teams and supports efficient project delivery, especially for organizations with multiple or geographically distant data centers.

How does a remote data center design professional typically collaborate with cross-functional teams during a project?

A Remote Data Center Design professional regularly works with cross-functional teams including network engineers, architects, project managers, and HVAC specialists. Collaboration often happens through virtual meetings, cloud-based design platforms, and shared documentation to ensure all infrastructure requirements are met efficiently. Clear communication is crucial, as you’ll coordinate on timelines, technical standards, and troubleshooting, often across different time zones. Building strong relationships with both internal and external stakeholders ensures that design solutions align with operational needs and industry regulations.

What are the key skills and qualifications needed to thrive in remote data center design, and why are they important?

To thrive in Remote Data Center Design, you need a solid background in electrical and mechanical engineering, data center infrastructure standards, and experience with site planning and design, often supported by a relevant engineering degree or certification. Familiarity with CAD software, Building Information Modeling (BIM), and industry standards like ASHRAE or Uptime Institute Tier classifications is typically required. Strong project management, problem-solving abilities, and effective communication are crucial soft skills for coordinating remote teams and stakeholders. These skills ensure data centers are efficiently designed, compliant, and resilient, supporting critical business operations.

What is the difference between Remote Data Center Design vs Data Center Technician?

AspectRemote Data Center DesignData Center Technician
Primary FocusPlanning and designing data center infrastructure remotelyMaintaining and troubleshooting data center hardware onsite or remotely
Required SkillsNetwork architecture, system design, project managementHardware installation, troubleshooting, equipment maintenance
Work EnvironmentOffice or remote, involving collaboration with engineers and clientsData center facilities, often onsite, with some remote support
CertificationsCCNP, Cisco Data Center certifications, PMPCompTIA Server+, Cisco CCNA, Data Center certifications

Remote Data Center Design involves planning and designing data center infrastructure remotely, focusing on architecture and project management. Data Center Technicians handle hardware setup, maintenance, and troubleshooting, often onsite. While both roles require technical certifications, their daily tasks and work environments differ significantly.

What are the most commonly searched types of Data Center Design jobs in Utah?

The most popular types of Data Center Design jobs in Utah are:

What are popular job titles related to Remote Data Center Design jobs in Utah?

For Remote Data Center Design jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Remote Data Center Design jobs in Utah look for?

The top searched job categories for Remote Data Center Design jobs in Utah are:

What cities in Utah are hiring for Remote Data Center Design jobs?

Cities in Utah with the most Remote Data Center Design job openings:

Remote Data Center Design jobs near you

Cheminformatics Specialist - Remote

micro1 AI

Salt Lake City, UT • Remote

$80 - $110/hr

Part-time

This job post has expired 1 day ago. Applications are no longer accepted.

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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