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Remote Integration Analyst Jobs in Nevada (NOW HIRING)

... Integration Engineering, and Learning & Development teams to translate technical system changes ... Facilitate instructor-led training for new and existing Remote Operations personnel on standard ...

... Integration Engineering, and Learning & Development teams to translate technical system changes ... Facilitate instructor-led training for new and existing Remote Operations personnel on standard ...

Investigate and analyze the development, morphology, and behavior of microscopic organisms ... integration into AI systems. * Comfort working independently in a fully remote, digital-first ...

Investigate and analyze the development, morphology, and behavior of microscopic organisms ... integration into AI systems. * Comfort working independently in a fully remote, digital-first ...

Remote Monitoring Services * Fault Detection & Diagnostics (FDD) * Building Analytics Platforms * Smart Building Technologies * Building Systems Integration * Mechanical and Electrical Service ...

... remote capacity. The Manager of Application Development will work closely with business analysts ... Proactively support integration and application needs to deliver the strategic initiatives ...

... remote capacity. The Manager of Application Development will work closely with business analysts ... Proactively support integration and application needs to deliver the strategic initiatives ...

... Remote Patient Monitoring, Behavioral Health Integration, gap closure, and digital population ... tools. • Analyze campaign performance and provide recommendations to improve lead quality ...

... remote capacity. The Manager of Application Development will work closely with business analysts ... Proactively support integration and application needs to deliver the strategic initiatives ...

Remote micro1 is engaging Physics Experts (PhD / Postdoc) to contribute deep scientific knowledge ... analyses. * Produce technically precise, clearly written solutions, detailing all assumptions ...

Showing results 41-60

Remote Integration Analyst information

What is a remote integration analyst?

A Remote Integration Analyst is a professional who specializes in connecting various software systems, platforms, or applications to ensure seamless data flow and functionality across an organization—all while working remotely. They analyze technical requirements, design integration solutions, and troubleshoot any issues that arise during or after implementation. This role often involves collaborating with different teams, configuring APIs, and ensuring that data is transferred securely and accurately between systems. Remote Integration Analysts typically use tools like middleware platforms and have strong problem-solving and communication skills.

What are the key skills and qualifications needed to thrive as a remote integration analyst?

To thrive as a Remote Integration Analyst, you need a solid background in computer science, systems integration, and experience with APIs and data mapping, often supported by a relevant degree or technical certifications. Familiarity with integration platforms (like MuleSoft, Dell Boomi, or Informatica), scripting languages, and cloud services is typically required. Strong problem-solving skills, attention to detail, and effective remote communication help you collaborate with distributed teams and resolve integration issues efficiently. These skills ensure seamless data flow and system interoperability, which are critical for organizational efficiency and successful digital transformation.

What are some common challenges remote integration analysts face when collaborating with distributed teams?

Remote Integration Analysts often work with geographically dispersed teams, which can lead to challenges such as coordinating across different time zones, ensuring clear communication, and managing project dependencies remotely. To overcome these hurdles, analysts typically rely on robust project management tools, detailed documentation, and regular virtual meetings to keep everyone aligned. Building strong relationships with both technical and non-technical stakeholders is key to successfully integrating systems and delivering seamless solutions.

What is the difference between Remote Integration Analyst vs Remote Data Analyst?

AspectRemote Integration AnalystRemote Data Analyst
Required SkillsSystems integration, API management, troubleshootingData analysis, SQL, visualization tools
Work EnvironmentIT teams, technical projects, client integrationsData-driven projects, reporting, business insights
CertificationsIT certifications (e.g., Cisco, Microsoft)Data certifications (e.g., Microsoft, SAS)

Remote Integration Analysts focus on connecting and maintaining software systems and APIs, working closely with IT teams. Remote Data Analysts interpret data sets to provide insights, primarily working with databases and visualization tools. While both roles require technical skills, their core responsibilities differ: integration versus data analysis.

What cities in Nevada are hiring for Remote Integration Analyst jobs?

Cities in Nevada with the most Remote Integration Analyst job openings:

Infographic showing various Remote Integration Analyst job openings in Nevada as of June 2026, with employment types broken down into 80% Full Time, 13% Part Time, 2% Temporary, and 5% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution.

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Las Vegas, NV • Remote

$80 - $110/hr

Part-time

Posted 15 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.