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Remote Health Informatics Data Analyst Jobs in Albuquerque, NM

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Analyze data for quality/completeness * Validate data marts and dashboards against source systems

RE/SPEC Inc.

BI Developer (Contractor)

Albuquerque, NM · Remote

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... Analyze data for quality/completeness * Validate data marts and dashboards against source systems

micro1 AI

Corporate Counsel - Remote

Rio Rancho, NM · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

micro1 AI

General Counsel - Remote

Albuquerque, NM · Remote

$90 - $130/hr

Collaborate with product and research teams to refine data, guidelines, and best practices for AI ... Strong analytical capabilities and ability to translate legal expertise into actionable feedback ...

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All JobsHealth Informatics Data Analyst JobsRemote Health Informatics Data Analyst JobsRemote Health Informatics Data Analyst Jobs in Albuquerque, NM

Remote Health Informatics Data Analyst information

See Albuquerque, NM salary details

$41.2K

$83K

$121.2K

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

As of Sep 2, 2026, the average yearly pay for remote health informatics data analyst in Albuquerque, NM is $82,983.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $96,900.00 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 are popular job titles related to Remote Health Informatics Data Analyst jobs in Albuquerque, NM?

For Remote Health Informatics Data Analyst jobs in Albuquerque, NM, the most frequently searched job titles are:

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Remote Health Informatics Data Analyst jobs near you
Infographic showing various Remote Health Informatics Data Analyst job openings in Albuquerque, NM as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 18% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $82,983 per year, or $39.9 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Rio Rancho, NM • Remote

$80 - $110/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery 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 interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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