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Remote Clinical Data Analyst Jobs in Kansas (NOW HIRING)

Ascend Learning

Sr Data Scientist

Leawood, KS · On-site +1

WHAT YOU'LL DO As a Senior Data Scientist in the Data & Business Intelligence org, you'll be the ... Remote within the United States HOW YOU'LL SPEND YOUR TIME * Threat Detection & Behavioral Analysis:

Merit Medical

... site or remote clinical aspects of product related StatSeal account trials or conversions ... analyze feedback in a learning environment to develop strategies for improving knowledge, skills ...

micro1 AI

Bioinformatics Software Engineer

Topeka, KS · 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 ...

micro1 AI

Bioinformatics Software Engineer

Wichita, KS · 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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How much do remote clinical data analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote clinical data analyst in Kansas is $32.43, according to ZipRecruiter salary data. Most workers in this role earn between $26.15 and $37.50 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 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.

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.

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.
More about Remote Clinical Data Analyst jobs
What are the most commonly searched types of Clinical Data Analyst jobs in Kansas? The most popular types of Clinical Data Analyst jobs in Kansas are:
What are popular job titles related to Remote Clinical Data Analyst jobs in Kansas? For Remote Clinical Data Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Remote Clinical Data Analyst jobs in Kansas look for? The top searched job categories for Remote Clinical Data Analyst jobs in Kansas are:
What cities in Kansas are hiring for Remote Clinical Data Analyst jobs? Cities in Kansas with the most Remote Clinical Data Analyst job openings:
Remote Clinical Data Analyst jobs near you
Infographic showing various Remote Clinical Data Analyst job openings in Kansas as of August 2026, with employment types broken down into 73% Full Time, 12% Part Time, 2% Temporary, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,446 per year, or $32.4 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Olathe, KS • Remote

$90 - $120/hr

Part-time

Posted 15 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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