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Remote Clinical Data Manager Jobs in Indiana (NOW HIRING)

Alignerr

Principal Clinical Scientist

Indianapolis, IN · Remote

... clinical data and analyses powering next-generation AI systems meet the same exacting standards ... This is a fully remote, flexible contract role built for experienced clinical scientists who want ...

SIHO HOLDING INC

Clinical Quality Specialist

Indianapolis, IN · On-site +1

$35 - $46.50/hr

Director, Medical Management The Clinical Quality Specialist supports the Clinical Quality Nurse in ... Collaborate with Clinical Quality Nurse and internal data analyst to oversee HEDIS quality gap ...

Motorola

$165K - $190K/yr

... REMOTE Basic Requirements * Bachelor's degree with 10+ years of IT professional experience * AND 5+ years of experience in Master Data Management, or leading Data & Analytics focused teams with a ...

Authenticx

Data Scientist

Indianapolis, IN · Remote

Experience with SQL, databases, and other data management tools * Ability to work independently and ... This is a remote/virtual position. * You must live in the United States of America. * You must be ...

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

As of May 29, 2026, the average hourly pay for remote clinical data manager in Indiana is $54.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.98 and $64.71 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 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.

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.

More about Remote Clinical Data Manager jobs
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What cities in Indiana are hiring for Remote Clinical Data Manager jobs? Cities in Indiana with the most Remote Clinical Data Manager job openings:
Remote Clinical Data Manager jobs near you

Principal Clinical Scientist

Alignerr

Indianapolis, IN • Remote

Full-time

Posted 8 days ago

Job description

Principal Clinical Scientist (AI Training)
About the Role
What if your career-long expertise in clinical trial design and regulatory science could directly shape how AI understands and reasons about medical evidence? We're looking for a Principal Clinical Scientist to bring senior-level rigor to frontier AI research - ensuring the clinical data and analyses powering next-generation AI systems meet the same exacting standards expected in real-world regulatory submissions.
This is a fully remote, flexible contract role built for experienced clinical scientists who want to contribute to something genuinely new. No AI background required - just deep command of clinical research and a sharp eye for scientific quality.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
    • What You'll Do
    • Design and critically review clinical trial protocols used to generate high-quality, regulatory-grade datasets for AI training
    • Interpret and audit clinical trial results for accuracy, consistency, and alignment with regulatory expectations
    • Evaluate AI-generated clinical analyses for scientific soundness and methodological integrity
    • Provide structured expert feedback that directly improves how AI models reason about clinical evidence, outcomes, and trial data
    • Work independently and asynchronously - fully on your own schedule
    Who You Are
    • Senior-level experience designing clinical trial protocols intended for regulatory submission
    • Deep expertise interpreting clinical data for agencies such as the FDA, EMA, or equivalent global bodies
    • Strong grounding in clinical research methodology, biostatistics, or translational science
    • Naturally detail-oriented with a rigorous, systematic approach to evaluating scientific quality
    • Clear and precise written communicator - able to document findings and feedback with authority
    • No prior AI or tech experience required
    Nice to Have
    • Prior involvement in data annotation, data quality assurance, or evaluation systems
    • Experience reviewing or contributing to clinical evidence packages for drug, device, or diagnostic submissions
    • Background spanning multiple therapeutic areas or trial phases
    • Familiarity with AI-generated content or model evaluation workflows
    Why Join Us
    • Work directly on frontier AI systems with real impact on clinical and biomedical research
    • Fully remote and flexible - work when and where it suits you
    • Freelance autonomy with the structure of meaningful, expert-level work
    • Influence how AI understands, evaluates, and communicates real-world clinical evidence
    • Potential for ongoing work and contract extension as new projects launch

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