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Remote Veterinary Data Analysis Jobs in Kentucky

For candidates not in those locations, we would consider fully remote work for a highly qualified ... data analysis * Working knowledge of the federal, state, and local regulations / ordinances ...

For candidates not in those locations, we would consider fully remote work for a highly qualified ... data analysis * Working knowledge of the federal, state, and local regulations / ordinances ...

Analyze every stage of the customer journey-from lead assignment through enrollment-to identify ... Strong track record improving conversion rates through coaching, process optimization, and data ...

Remote opportunity! Some Travel required - see details below Starting Salary at 70,000 and up ... Compiles and provides quarterly audit data to the Vice President, Specialty Pharmacy Compliance or ...

Showing results 41-60

Remote Veterinary Data Analysis information

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 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 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 the most commonly searched types of Veterinary Data Analysis jobs in Kentucky? The most popular types of Veterinary Data Analysis jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Veterinary Data Analysis jobs? Cities in Kentucky with the most Remote Veterinary Data Analysis job openings:
Infographic showing various Remote Veterinary Data Analysis job openings in Kentucky as of August 2026, with employment types broken down into 6% Internship, 74% Full Time, 9% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Medical Microbiology Consultant - Remote

micro1 AI

Louisville, KY โ€ข Remote

$70 - $90/hr

Part-time

Posted 12 days ago


Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer 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 โ€” your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelorโ€™s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Masterโ€™s or PhD) in a relevant field.