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Remote Clinical Data Analyst Jobs in Alabama (NOW HIRING)

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

Bcbsa

$155K - $175K/yr

Analytics Team - Collaborate on drug trends and utilization data to inform clinical policy ... Work is generally performed in a remote setting. #LI-Remote $155,000.00 - $175,000.00 This is the ...

Harris

Analyze data from other BSS/OSS systems to assist with mapping for new company conversions ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

micro1 AI

Bioinformatics Software Engineer

Mobile, AL · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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Remote Clinical Data Analyst information

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$15

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How much do remote clinical data analyst jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for remote clinical data analyst in Alabama is $32.95, according to ZipRecruiter salary data. Most workers in this role earn between $26.59 and $38.12 per hour, depending on experience, location, and employer.

What is a remote clinical data analyst?

A Remote Clinical Data Analyst is a professional who collects, processes, and analyzes clinical research data from a remote location, rather than working on-site. They ensure the accuracy, integrity, and security of clinical trial or healthcare data, often working with databases and statistical software. These analysts play a crucial role in supporting medical research, regulatory compliance, and data-driven decision-making in healthcare organizations. Their work helps improve patient outcomes, streamline clinical operations, and uphold data quality standards, all while collaborating virtually with research teams.

What does a remote clinical data analyst do?

A remote clinical data analyst works from home to analyze and manage the data for research and clinical trials. Your duties in this career include accessing the data that researchers collect during a trial and ensuring that it is secure and that researchers record all necessary and relevant information during their tests and experiments. Your responsibilities include ensuring that the documentation meets all the required regulations. You report your findings to trial stakeholders online or in person, and you often offer data collection guidance to researchers. This means that cooperation and communication play a major role in this career.

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

To thrive as a Remote Clinical Data Analyst, you need a strong background in data analysis, biostatistics, and clinical research, often supported by a degree in life sciences, statistics, or a related field. Familiarity with statistical software (such as SAS, R, or Python), electronic data capture (EDC) systems, and regulatory compliance (like GCP) is essential. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting complex data and collaborating with cross-functional teams. These skills and qualities ensure high-quality, compliant data analysis, directly impacting clinical trial outcomes and regulatory submissions.

How do remote clinical data analysts typically collaborate with clinical research teams despite working off-site?

Remote Clinical Data Analysts frequently collaborate with clinical research teams using digital communication tools such as video conferencing, secure messaging platforms, and shared databases. They participate in regular virtual meetings, review data submissions, and coordinate with site coordinators, statisticians, and data managers to ensure data integrity and resolve discrepancies. Building strong communication skills and being proactive in status updates are essential for maintaining seamless workflow and supporting the team's goals, even from a distance.
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Remote Clinical Data Analyst jobs near you
Infographic showing various Remote Clinical Data Analyst job openings in Alabama as of August 2026, with employment types broken down into 76% Full Time, 12% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $68,546 per year, or $33 per hour.

Cheminformatics Specialist - Remote

micro1 AI

Huntsville, AL • Remote

$80 - $110/hr

Part-time

Posted 21 days ago

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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