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Remote Health Data Analyst Jobs in Nevada (NOW HIRING)

Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their ... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources.

Data Center COE Project Manager

NV · Remote

$112K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Remote in the US #LI-Remote This role is contributing to the Electrification Services Business Area ... Health, Safety & Environment (HSE) * Analyzing and addressing project risks, and regularly ...

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Operational Safety Lead

Las Vegas, NV · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develop and optimize data-driven tools and methods for incident tracking and risk analysis ... Unlimited Paid Vacation Days 401(k) programme Health, Dental & Vision Insurance All Vay team ...

Showing results 41-60

Remote Health Data Analyst information

See Nevada salary details

$34.6K

$84.2K

$138.5K

How much do remote health data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for remote health data analyst in Nevada is $84,153.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,600.00 and $98,800.00 per year, depending on experience, location, and employer.

What does a remote health data analyst do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a remote health data analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a remote health data analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

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

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.

What job categories do people searching Remote Health Data Analyst jobs in Nevada look for?

The top searched job categories for Remote Health Data Analyst jobs in Nevada are:

What cities in Nevada are hiring for Remote Health Data Analyst jobs?

Cities in Nevada with the most Remote Health Data Analyst job openings:

Infographic showing various Remote Health Data Analyst job openings in Nevada as of August 2026, with employment types broken down into 77% Full Time, and 23% Part Time. Highlights an 100% Remote job distribution, with an average salary of $84,153 per year, or $40.5 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Reno, NV • Remote

$90 - $120/hr

Part-time

Posted 19 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.