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Remote Health Data Analyst Jobs in Kentucky (NOW HIRING)

Deloitte

Epic Research & Genomics Analyst

Louisville, KY · On-site +1

Project Talent Model (PTM) is a model that is tailored specifically for long-term, remote client ... Bachelor's degree, preferably in information technology, business, or healthcare related field; or ...

RMS Energy

Technical Data Coordinator

Louisville, KY · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data-driven mindset with the ability to track, analyze, and act on recruitment KPIs Additional Requirements: * Able to work independently in a remote environment * Willing to travel 25%+ to sites or ...

Demand.com

Marketing Director (Remote)

Louisville, KY · 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 ...

Pentair

Senior SAP Analyst - EWM

Louisville, KY · Remote

$82K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We have an opportunity for a Senior SAP Analyst - EWM. You will report to the EWM Global Business ... healthy work/life balance. #LI-Remote Equal Opportunity Employer Pentair is an Equal Opportunity ...

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All JobsHealth Data Analyst JobsRemote Health Data Analyst JobsRemote Health Data Analyst Jobs in Kentucky

Remote Health Data Analyst information

See Kentucky salary details

$29.5K

$71.8K

$118.1K

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

As of Aug 13, 2026, the average yearly pay for remote health data analyst in Kentucky is $71,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,300.00 and $84,200.00 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.
More about Remote Health Data Analyst jobs
What are the most commonly searched types of Health Data Analyst jobs in Kentucky? The most popular types of Health Data Analyst jobs in Kentucky are:
What are popular job titles related to Remote Health Data Analyst jobs in Kentucky? For Remote Health Data Analyst jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Health Data Analyst jobs in Kentucky look for? The top searched job categories for Remote Health Data Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Health Data Analyst jobs? Cities in Kentucky with the most Remote Health Data Analyst job openings:
Remote Health Data Analyst jobs near you
Infographic showing various Remote Health Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 74% Full Time, 13% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $71,775 per year, or $34.5 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Louisville, KY • Remote

$90 - $120/hr

Part-time

Posted 16 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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