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Remote Veterinary Data Analysis Jobs in Nevada (NOW HIRING)

Demand.com

Marketing Director (Remote)

Henderson, NV · Remote

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 ...

micro1 AI

Cheminformatics Specialist - Remote

Reno, NV · Remote

$80 - $110/hr

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

micro1 AI

Cheminformatics Specialist - Remote

Sparks, NV · Remote

$80 - $110/hr

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

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All JobsVeterinary Data Analysis JobsRemote Veterinary Data Analysis JobsRemote Veterinary Data Analysis Jobs in Nevada

Remote Veterinary Data Analysis information

What is remote veterinary data analysis?

Remote veterinary data analysis involves using data analytics tools and software to interpret and evaluate animal health data from a distance, rather than being physically present at a clinic or laboratory. Professionals in this field analyze medical records, lab results, and other animal health data to help veterinarians make informed decisions about diagnosis, treatment, and care. This remote work setup allows for collaboration with veterinary teams and researchers across different locations, often using cloud-based platforms and telecommunication tools. The role requires strong analytical skills, familiarity with veterinary terminology, and proficiency with data management software.

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

To thrive as a Remote Veterinary Data Analyst, you need a strong background in veterinary science or animal health, combined with expertise in data analysis and statistical methods. Familiarity with data analytics tools such as Excel, R, Python, and veterinary practice management software is typically required. Excellent attention to detail, critical thinking, and effective communication skills are important soft skills for interpreting data and collaborating with remote teams. These competencies ensure accurate data-driven insights that improve animal health outcomes and support informed decision-making in the veterinary field.

How does a remote veterinary data analyst typically collaborate with veterinarians and other team members?

As a remote veterinary data analyst, you will frequently collaborate with veterinarians, researchers, and IT professionals through virtual meetings, shared databases, and project management tools. Effective communication is crucial, as you'll often translate complex data findings into actionable insights for clinical teams. You'll participate in regular team updates, contribute to joint research initiatives, and may be involved in training staff on data interpretation. This collaborative approach ensures that analytical results directly support animal health outcomes and organizational goals.

What is the difference between Remote Veterinary Data Analysis vs Remote Veterinary Technician?

AspectRemote Veterinary Data AnalysisRemote Veterinary Technician
CredentialsData analysis certifications, veterinary knowledgeVeterinary technician license, certification
Work EnvironmentRemote, data-focused rolesRemote or clinic-based, patient care
Industry UsageData analysis, research, reportingAnimal care, clinical support
Job FocusAnalyzing veterinary data, reportsAssisting in animal treatment, patient monitoring

Remote Veterinary Data Analysis involves analyzing veterinary data and reports, often requiring data analysis skills and veterinary knowledge. In contrast, Remote Veterinary Technicians focus on supporting animal care and clinical tasks, typically requiring veterinary technician credentials. Both roles may be remote but serve different functions within the veterinary industry.

What are popular job titles related to Remote Veterinary Data Analysis jobs in Nevada?

For Remote Veterinary Data Analysis jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Veterinary Data Analysis jobs in Nevada look for?

The top searched job categories for Remote Veterinary Data Analysis jobs in Nevada are:

What cities in Nevada are hiring for Remote Veterinary Data Analysis jobs?

Cities in Nevada with the most Remote Veterinary Data Analysis job openings:

Remote Veterinary Data Analysis jobs near you
Infographic showing various Remote Veterinary Data Analysis job openings in Nevada as of August 2026, with employment types broken down into 3% Internship, 76% Full Time, 11% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Digital Chemistry Specialist - Remote

micro1 AI

Henderson, NV • Remote

$90 - $120/hr

Part-time

Posted 22 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.

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