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Remote Clinical Data Manager Jobs in Decatur, GA

The Data Sherpas

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Who We Are: We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing,

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Remote Clinical Data Manager information

See Decatur, GA salary details

$19

$55

$80

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

As of Jul 20, 2026, the average hourly pay for remote clinical data manager in Decatur, GA is $55.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $66.44 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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Remote Clinical Data Manager jobs near you

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 11 days ago

Job description

Who We Are:

We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


What We Are Looking For:

We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


Responsibilities:

Data Pipeline Development and Management:

  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:

  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:

  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:

  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:

  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:

  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


Qualifications:

  • Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Hands-on experience with dbt.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.
  • Must be a U.S. Citizen or Green Card holder.


Preferred Skills:

  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.


Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


This position is open to direct candidates only. We are not working with third-party agencies.


Candidates must be U.S. Citizens or Green Card holders.


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