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Remote Mobile Analytics Engineer Jobs in Reno, NV

Liberty Mutual does not support satellite and mobile internet services. Qualifications * 2-3 years ... Excellent analytical, decision-making and organizational skills * Strong typing capabilities and PC ...

Liberty Mutual does not support satellite and mobile internet services. Qualifications * 2-3 years ... Excellent analytical, decision-making and organizational skills * Strong typing capabilities and PC ...

Remote Inside Sales Representative

Reno, NV · On-site +1

$55K - $75K/yr

Liberty Mutual does not support satellite and mobile internet services. Qualifications * 2-3 years ... Excellent analytical, decision-making and organizational skills * Strong typing capabilities and PC ...

Enterprise Account Executive

Reno, NV · On-site +1

$95K - $125K/yr

With the launch of Wavelytics, our new AI-powered analytics suite, and continued momentum in ... Work with Sales Engineers to deliver compelling product demos and tailored solution recommendations ...

Animator

Reno, NV · On-site +1

$114K - $141K/yr

From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable ... Collaborate with designers, engineers, and artists to define and execute creative vision * Bring ...

Animator

Reno, NV · On-site +1

$114K - $141K/yr

From the casino floor to your mobile screen, we deliver thrilling, responsible, and unforgettable ... Collaborate with designers, engineers, and artists to define and execute creative vision * Bring ...

Construct quality conceptual models of geothermal systems through thorough analysis and ... Collaborate with drilling engineers, project managers, and drilling operations to plan and execute ...

Showing results 41-60

Remote Mobile Analytics Engineer information

See Reno, NV salary details

$10

$59

$93

How much do remote mobile analytics engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for remote mobile analytics engineer in Reno, NV is $59.97, according to ZipRecruiter salary data. Most workers in this role earn between $45.53 and $78.12 per hour, depending on experience, location, and employer.

AI Training Specialist - Life Sciences

micro1 AI

Sparks, NV • Remote

$90 - $120/hr

Part-time

Posted 11 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.