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Remote Clinical Data Analyst Jobs in Kansas (NOW HIRING)

Scopely

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis At Scopely, we care deeply about what we do and want to inspire play ...

micro1 AI

Cheminformatics Specialist - Remote

Wichita, KS · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Olathe, KS · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

micro1 AI

Cheminformatics Specialist - Remote

Topeka, KS · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

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$15

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

As of Aug 23, 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 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 Kansas as of August 2026, with employment types broken down into 79% Full Time, 12% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $67,446 per year, or $32.4 per hour.

Data Analyst - Marvel Strike Force

Scopely

On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Scopely is looking for a Data Analyst to join our Marvel Strike Force remotely in the United States or Canada on a remote basis

At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. 

Marvel Strike Force is Scopely's squad-based Hero Collector RPG, housing heroes and villains across the Marvel Universe.

What You Will Do
  • Use AI-enabled tools thoughtfully to accelerate analytical workflows, including data exploration, SQL/Python development, documentation, QA, summarization, and insight generation, while maintaining strong judgment around data quality, accuracy, privacy, and business context
  • Partner with product, design, economy, live operations, marketing, and leadership teams to turn data into clear insights that improve player engagement, retention, monetization, and long-term game health
  • Own recurring business-health reporting for Marvel Strike Force, including KPI reads, trend context, variance explanations, and executive-ready narratives for what changed, why it changed, and what to do next
  • Analyze player behavior across onboarding, progression, events, offers, combat modes, and other core game systems to identify risks, opportunities, and player-impacting friction
  • Design and validate analytics tracking for new features, live events, player offers, and experiments so teams can measure performance accurately from launch onwar
What We're Looking For
  • B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines
  • 2+ years of experience in data analytics, product analytics, business analytics, financial analysis, data science, or a similar quantitative role
  • 2+ years' experience using SQL/Python, including complex queries from multiple data sources
  • 2+ years' experience creating reports using Tableau/Looker or a similar reporting system
  • Curiosity and hands-on interest in using AI tools to improve analytics workflows, with the judgment to validate outputs, protect sensitive data, and distinguish useful acceleration from unsupported conclusions
  • Familiarity with experimentation, including A/B test design, metric selection, statistical significance, guardrail metrics, and post-test interpretation
  • Excellent communication and storytelling skills, with the ability to turn detailed analysis into concise, actionable recommendations for both technical and non-technical partners
  • Comfort working quickly in a live-service environment where priorities shift, data is imperfect, and decisions often need both speed and rigor

Bonus Points

  • Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making
  • Passion for games and curiosity about what motivates players, especially in RPG, hero collector, strategy, or squad-based combat games
  • Advanced degrees a plus
  • 2+ years within the mobile gaming domain
  • Experience analyzing player lifecycle metrics such as onboarding, funnels, retention, engagement, progression, monetization, economy health, offers, events, or churn
  • Experience with modern analytics workflows such as dbt, Snowflake, BigQuery, Git, notebook-based analysis, or reusable data models

Please ensure that the resume/CV you attach is written in English.

Apply