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Remote Health Informatics Data Analyst Jobs in Liberty, MO

Perform GIS database development, qualitative/quantitative analysis, and mapping as a member of a ... programs for data collection, engineering, and environmental applications #LI-Remote Skills ...

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Remote Health Informatics Data Analyst information

See Liberty, MO salary details

$40.1K

$80.8K

$118K

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

As of Aug 8, 2026, the average yearly pay for remote health informatics data analyst in Liberty, MO is $80,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $94,400.00 per year, depending on experience, location, and employer.

What is the difference between Remote Health Informatics Data Analyst vs Remote Healthcare Data Specialist?

AspectRemote Health Informatics Data AnalystRemote Healthcare Data Specialist
Required CredentialsBachelor's in Health Informatics, Data Science, or related field; certifications like CPHIMS or CHDABachelor's in Health Information Management, Data Analytics; similar certifications
Work EnvironmentRemote, healthcare organizations, clinics, hospitalsRemote, healthcare providers, insurance companies, health tech firms
Industry UsageUsed for analyzing health data, improving patient outcomes, supporting clinical decisionsUsed for managing health data, ensuring data accuracy, compliance, and reporting

The Remote Health Informatics Data Analyst focuses on analyzing health data to improve clinical outcomes, while the Remote Healthcare Data Specialist manages and ensures the accuracy of health data. Both roles require similar credentials and often operate remotely within healthcare settings, but their core responsibilities differ in analysis versus data management.

What job categories do people searching Remote Health Informatics Data Analyst jobs in Liberty, MO look for? The top searched job categories for Remote Health Informatics Data Analyst jobs in Liberty, MO are:
What cities near Liberty, MO are hiring for Remote Health Informatics Data Analyst jobs? Cities near Liberty, MO with the most Remote Health Informatics Data Analyst job openings:
Infographic showing various Remote Health Informatics Data Analyst job openings in Liberty, MO as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 100% Remote job distribution, with an average salary of $80,781 per year, or $38.8 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Overland Park, KS • On-site, Remote

$90 - $120/hr

Part-time

Posted 11 days ago


Job description

Role Title: Computational Biology Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology Experts to contribute their advanced scientific knowledge to a dynamic 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 — your domain knowledge is what matters.


Scope of Work

  1. Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry.
  2. Provide feedback and domain-specific insights to improve AI models in computational biology contexts.
  3. Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with industry standards.
  4. Develop and review problem sets, case studies, or scenarios based on real-world medicinal chemistry challenges.
  5. Collaborate asynchronously with other experts to validate findings and share perspectives on project deliverables.
  6. Contribute to the refinement of data curation methodologies and best practices in computational biology.


Preferred Qualifications

  1. Advanced degree (PhD, PharmD, or MSc) in computational biology, medicinal chemistry, bioinformatics, or a closely related field.
  2. Demonstrated expertise in medicinal chemistry, including experience with drug discovery or design.
  3. Strong analytical skills with a deep understanding of biological datasets and scientific literature.
  4. Experience applying computational methods to solve problems in chemistry or biology.
  5. Proficiency with relevant bioinformatics tools, cheminformatics platforms, or data analysis software.
  6. Excellent written communication skills to clearly explain complex scientific concepts to diverse audiences.
  7. Previous participation in cross-disciplinary or AI-driven scientific projects is a plus.