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Remote Clinical Data Manager Jobs in Springfield, MO

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Payroll Manager

Springfield, MO · On-site +1

Our workforce includes caregivers, clinicians, administrative teams, and remote workers nationwide ... With seven interconnected EMR platforms feeding data into UKG, our payroll environment is highly ...

micro1 AI

Clinical Pharmacy Technicians

Springfield, MO · Remote

$70 - $80/hr

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and ...

Talkiatry

Remote Therapist - Missouri

Springfield, MO · Remote

Minimal administrative burden in a fully remote environment * Clear expectations around caseload ... Comfort managing a consistent outpatient caseload * Strong clinical judgment, communication skills ...

micro1 AI

Medical Writing Manager

Springfield, MO · Remote

$50 - $80/hr

Remote micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customer ... source data. * Exceptional written and verbal communication skills, especially in providing ...

EnthuZiastic

Growth Hacker - Remote

Springfield, MO · Remote

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and ... Budget Management: * Manage and allocate budgets effectively across various growth channels ...

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All JobsClinical Data JobsRemote Clinical Data Manager JobsRemote Clinical Data Manager Jobs in Springfield, MO

Remote Clinical Data Manager information

See Springfield, MO salary details

$17

$48

$69

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

As of Aug 8, 2026, the average hourly pay for remote clinical data manager in Springfield, MO is $48.75, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $58.03 per hour, depending on experience, location, and employer.

What does a remote clinical data manager do?

Remote clinical data managers collect, compile, and organize data from research projects and clinical trials. They perform their job duties from home or another location outside of the office with internet capability. In this career, you are responsible for recording relevant information and results from clinical trials and making sure they are logged accurately and secured correctly. You examine the research process, checking that the data meets industry regulations and requirements for clinical testing. Once the trial begins, you evaluate the data to ensure researchers collect the right information as they conduct their tests, experiments, or research. You collaborate remotely with researchers to produce reports, statistics, and charts. Remote clinical data managers work with pharmaceutical companies, healthcare providers, government agencies, and research institutions.

What is the difference between Remote Clinical Data Manager vs Remote Clinical Research Associate?

AspectRemote Clinical Data ManagerRemote Clinical Research Associate
CredentialsBachelor's in Life Sciences, Biostatistics, or related field; experience with data management systemsBachelor's in Life Sciences, Nursing, or related field; experience in monitoring and site management
Work EnvironmentData analysis, database management, and quality controlMonitoring clinical sites, ensuring protocol adherence, and site communication
Industry UsagePharmaceutical, biotech, and clinical research organizationsPharmaceutical, biotech, and contract research organizations
Search & Comparison IntentFocuses on data management roles in clinical trialsFocuses on site monitoring and trial oversight roles

The main difference is that Remote Clinical Data Managers handle data collection, validation, and database management, while Remote Clinical Research Associates focus on site monitoring and ensuring trial compliance. Both roles are essential in clinical research but serve different functions within the trial process.

What are the key skills and qualifications needed to thrive as a remote clinical data manager, and why are they important?

To thrive as a Remote Clinical Data Manager, you need expertise in clinical data management, knowledge of regulatory guidelines (such as GCP), and a degree in life sciences or a related field. Familiarity with electronic data capture (EDC) systems, clinical trial management software, and certifications like CCDM are typically required. Strong attention to detail, problem-solving abilities, and effective remote communication skills help you excel in this position. These competencies ensure accurate data collection, regulatory compliance, and efficient collaboration within dispersed clinical research teams.

How does a remote clinical data manager typically collaborate with clinical research teams and ensure data integrity across different locations?

As a Remote Clinical Data Manager, you'll frequently coordinate with cross-functional teams, including clinical research associates, biostatisticians, and project managers, using digital communication tools and project management platforms. Ensuring data integrity involves setting up secure data management systems, implementing data validation checks, and conducting regular data reviews. You'll participate in virtual meetings to discuss data queries, timelines, and protocol updates, and often provide training or support to site staff on electronic data capture (EDC) systems. Maintaining clear communication and thorough documentation is essential for successful remote collaboration and high-quality data management.

What is a remote clinical data manager?

A Remote Clinical Data Manager is a professional responsible for overseeing the collection, processing, and management of clinical trial data while working from a remote location. They ensure that the data collected during clinical studies is accurate, complete, and compliant with regulatory standards. Their key tasks include database design, data cleaning, and collaborating with clinical teams to resolve data discrepancies. Remote Clinical Data Managers often use specialized software and work closely with other research professionals to maintain data integrity and support successful clinical trial outcomes.
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What cities near Springfield, MO are hiring for Remote Clinical Data Manager jobs? Cities near Springfield, MO with the most Remote Clinical Data Manager job openings:
Remote Clinical Data Manager jobs near you
Infographic showing various Remote Clinical Data Manager job openings in Springfield, MO as of August 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $101,392 per year, or $48.7 per hour.

Digital Chemistry Specialist - Remote

micro1 AI

Springfield, MO • Remote

$90 - $120/hr

Part-time

Posted 11 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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