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Remote Gis Data Engineer Jobs in Nevada (NOW HIRING)

Bachelor's degree (BA/BS) in engineering, construction management, sciences, IT, or related field a ... Remote -Boston, MA, Chicago, IL, Cleveland, OH, Dallas, TX, Indianapolis, IN, JERSEY CITY, NJ, Las ...

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Work closely with various engineering teams for system testing and testing of new scenarios * Work ...

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Work closely with various engineering teams for system testing and testing of new scenarios * Work ...

Data Center COE Project Manager

NV · Remote

$123K/yr

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... A Bachelor of Science degree in Mechanical or Electrical Engineering highly preferred. Combination ...

Resolve field design issues in partnership with engineering and project management teams. * Develop ... Flexibility & Remote Opportunities Whether in-office, hybrid, or fully remote, we offer the ...

New

Mission Summary: The Remote Vehicle Assistance Agent monitors live data and provides remote ... Work closely with various engineering teams for system testing and testing of new scenarios * Work ...

Resolve field design issues in partnership with engineering and project management teams. * Develop ... Flexibility & Remote Opportunities - Whether in-office, hybrid, or fully remote, we offer the ...

New

Remote (U.S. based; must be available during Pacific Time business hours) Pay: $60-70/hr This role ... It involves database programming, data migration, and support activities within complex IT ...

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Remote Gis Data Engineer information

What are the most commonly searched types of Gis Data Engineer jobs in Nevada?

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Infographic showing various Remote Gis Data Engineer job openings in Nevada as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Reno, NV • Remote

$90 - $120/hr

Part-time

Posted 20 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative 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 complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.