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Remote Design System Jobs in Washington, UT (NOW HIRING)

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Remote Design System information

See Washington, UT salary details

$45K

$107.7K

$157.6K

How much do remote design system jobs pay per year?

As of Aug 27, 2026, the average yearly pay for remote design system in Washington, UT is $107,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,800.00 and $124,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Design System vs Remote UI Designer?

AspectRemote Design SystemRemote UI Designer
CredentialsDesign degree, experience with design systems, familiarity with tools like FigmaDesign degree, proficiency in UI design tools, understanding of user experience
Work EnvironmentCollaborates with product teams, focuses on creating and maintaining design systemsWorks on individual screens, prototypes, and visual elements for apps/websites
Industry UsageUsed across tech, SaaS, and product companies for consistencyCommonly employed in digital agencies, startups, and tech firms for interface design

Remote Design System roles focus on developing and managing comprehensive design frameworks to ensure consistency across products. Remote UI Designers create visual interfaces and user interactions based on those systems. While both roles require strong design skills and familiarity with design tools, the Design System role emphasizes system-wide consistency, whereas the UI Designer concentrates on individual interface elements.

Remote Design System jobs near you
Infographic showing various Remote Design System job openings in Washington, UT as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,710 per year, or $51.8 per hour.

Cheminformatics Specialist - Remote

Saint George, UT • Remote

micro1 AI
Software Development • 11 - 50 employees
Learn more about micro1 AIexternal

$80 - $110/hr

Part-time

Posted 26 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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