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Remote Startup Data Engineer Jobs in Nevada (NOW HIRING)

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 ...

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 ...

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 ...

Senior People Generalist

Las Vegas, NV · On-site +1

$65K - $85K/yr

... Remote(HRIS tool), driving system enhancements, data integrity, reporting, process automation ... startup environment. * Bachelor's degree in Human Resources or a related field * 5+ years of ...

Collaborate with the engineering team to collect data and provide feedback via structured reports ... A strong commitment to safety - on the road and in remote operations * Flexibility to work a ...

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 ...

Showing results 41-60

Remote Startup Data Engineer information

What is the difference between Remote Startup Data Engineer vs Remote Startup Data Analyst?

AspectRemote Startup Data EngineerRemote Startup Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuilding data pipelines, infrastructureInterpreting data, creating reports
Employer & Industry UsageTech startups, SaaS companiesMarketing agencies, e-commerce startups
Common Search & ComparisonOften compared for technical depth and infrastructure focusCompared for data interpretation and business insights

The main difference between a Remote Startup Data Engineer and a Remote Startup Data Analyst lies in their focus areas. Data Engineers build and maintain data infrastructure, while Data Analysts interpret data to inform business decisions. Both roles are essential in startups but require different skill sets and responsibilities.

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

The most popular types of Startup Data Engineer jobs in Nevada are:

What are popular job titles related to Remote Startup Data Engineer jobs in Nevada?

For Remote Startup Data Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Startup Data Engineer jobs in Nevada look for?

The top searched job categories for Remote Startup Data Engineer jobs in Nevada are:

What cities in Nevada are hiring for Remote Startup Data Engineer jobs?

Cities in Nevada with the most Remote Startup Data Engineer job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Las Vegas, NV • Remote

$90 - $120/hr

Part-time

Posted 23 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.