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Internship Remote Clinical Data Manager Jobs (NOW HIRING)

Viz.ai

Clinical Data Manager

$127K - $182K/yr

Required * 5-7+ years in clinical research/RWE data management with hands-on database build ... GH1 #LI: remote

University of Utah

Clinical Data Managers

Campus, IL · On-site +1

$50K - $69K/yr

... Data Manager Career Progression Track P00 Track Level P3 - Career, P2 - Developing, P1 ... This position offers a flexible, mostly remote work schedule for candidates who reside in the state ...

The Emmes Company, LLC

Data Manager

Rockville, MD · On-site +1

Overview Clinical Data Manager - Temp to Hire US - Remote Note for Applicants: This position will begin as a full-time temporary assignment scheduled for 40 hours per week. The assignment is ...

Sumitomo Pharma

Senior Clinical Data Associate

$84K - $106K/yr

This position reports to the Associate Director, Clinical Data Management, Oncology and is part of ... Primarily remote role with periodic on-site meetings in office. Must be able to travel domestically ...

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

As of Jun 9, 2026, the average hourly pay for internship remote clinical data manager in the United States is $57.17, according to ZipRecruiter salary data. Most workers in this role earn between $45.19 and $68.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Remote Clinical Data Manager, and why are they important?

To thrive as an Internship Remote Clinical Data Manager, you typically need a background in life sciences, data management, or related fields, with strong analytical and organizational skills. Familiarity with clinical data management systems (CDMS), EDC platforms like Medidata or Oracle Clinical, and an understanding of regulatory guidelines such as GCP are highly valuable. Attention to detail, effective communication, and problem-solving abilities are essential soft skills for ensuring data accuracy and collaborating across remote teams. These competencies are crucial for maintaining data integrity, regulatory compliance, and the success of clinical research projects.

What are the typical responsibilities and learning opportunities for an intern in a remote Clinical Data Manager role?

As an intern in a remote Clinical Data Manager position, you will typically assist in collecting, cleaning, and managing clinical trial data under the supervision of experienced data managers. You'll gain hands-on experience with electronic data capture (EDC) systems, help with data validation, and support quality control processes to ensure data accuracy. This role offers valuable exposure to industry-standard practices, collaboration with clinical research teams, and insight into regulatory compliance requirements. The remote setting also helps you develop strong communication and time management skills, which are essential for success in the field.

What is an Internship Remote Clinical Data Manager?

An Internship Remote Clinical Data Manager is a trainee or entry-level professional who assists in managing and organizing clinical trial data from a remote location. Their tasks typically include collecting, cleaning, and validating clinical data to ensure accuracy and compliance with regulatory standards. Working remotely, they use specialized software to support the data management process and collaborate with clinical teams virtually. This role helps interns gain valuable experience in clinical research and data management while allowing flexibility in work location.

What is the difference between Internship Remote Clinical Data Manager vs Remote Clinical Data Coordinator?

AspectInternship Remote Clinical Data ManagerRemote Clinical Data Coordinator
CredentialsTypically pursuing or holding a degree in life sciences or related field; some internships may require basic knowledge of clinical dataUsually requires a degree or certification in health sciences, with some experience in data management
Work EnvironmentRemote internship, often part-time, with supervision from senior staffRemote or hybrid, supporting data entry, validation, and management tasks
Employer & IndustryPharmaceutical, biotech, or clinical research organizations; entry-level positionSimilar industries, often as entry or support role in clinical research teams

The Internship Remote Clinical Data Manager is an entry-level, temporary position designed for students or recent graduates gaining experience in clinical data management. In contrast, the Remote Clinical Data Coordinator is a more operational role focused on data entry and validation. Both roles are remote, require related educational backgrounds, and serve as stepping stones into the clinical research industry.

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What cities are hiring for Internship Remote Clinical Data Manager jobs? Cities with the most Internship Remote Clinical Data Manager job openings:
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Internship Remote Clinical Data Manager jobs near you
Infographic showing various Internship Remote Clinical Data Manager job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 87% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $118,909 per year, or $57.2 per hour.
Clinical Data Manager

Clinical Data Manager

Viz.ai

Remote

$127K - $182K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

About Viz.ai
Viz.ai is the leader in building and deploying AI-powered Care Pathways and helping doctors do their work. The Viz Platform is deployed in 2,000 hospitals across the United States and trusted by many of the leading life sciences companies. The platform uniquely combines real-time, multimodal clinical data with deep clinician engagement to detect disease earlier, coordinate care teams, and help ensure patients receive the right treatment faster. Viz.ai was the first company to be awarded CMS reimbursement for AI and is ranked the #1 Healthcare AI Platform by hospitals and health systems in the Black Book Research survey. For more information, visit Viz.ai.
Role Overview:
This is not a traditional eCRF-only Data Manager role. We are hiring a leader who can build and run research databases, operationalize EHR→EDC automation, and own data quality through data lock - while performing light-to-moderate statistical analysis as needed.This position plays a critical role in driving Viz's Evidence Generation strategy by managing the data life-cycle for clinical research and quality improvement studies. This role requires expertise in creating sophisticated data management systems, performing statistical analyses, automating data integrations, and ensuring robust data integrity practices.
Key Responsibilities:
Research Database Build & Full Data Management
  • Configure/maintain EDC forms and eCRF specifications as needed to support ingestion and downstream analysis, focusing on scalability and standardization.
  • Own end-to-end Data Management for Evidence Generation studies: build, validate, and maintain research databases from ingest → cleaning → QC → data lock.
  • Develop and run data cleaning workflows (queries, reconciliation, audit trails), and ensure inspection-ready documentation.

EHR → EDC Auto-Import & Data Model Strategy
  • Design and operate data model strategy for automated ingestion of EHR-level RWE into the EDC.
  • Work hands-on with APIs/integration endpoints and unify disparate data models (site/EHR variability, mapping logic, versioning, schema evolution).

EHR Systems Fluency / Site Data Reality
  • Partner with site IT/informatics and the Product team to understand EHR constraints, extract structures, and change management.
  • Translate EHR data realities into feasible study data capture and monitoring plans.

Collateral, SOPs, and Enablement
  • Create and maintain DMPs, SAPs, SOPs, runbooks, and training materials that operationalize the above processes across care pathways.

Statistical Analysis, as needed
  • Perform statistical analyses on cleaned datasets (descriptive, comparative, time-to-event where appropriate) and support evidence packages and reporting.
You Will Thrive in This Role If:
  • You possess advanced analytical capabilities, enjoy solving complex data problems, and have a deep interest in clinical research methodologies and outcomes.
  • You are proficient in developing automated and scalable data solutions, and possess strong coding and database management skills (e.g., SQL, SAS, Python, R).
  • You excel in strategic thinking and operational execution, adept at balancing immediate data management needs with long-term data infrastructure goals.
  • You are highly organized, methodical, and meticulous about data integrity, compliance, and documentation standards.
  • You enjoy collaborating with diverse stakeholders, effectively translating complex statistical concepts into actionable insights that drive clinical research forward.
Qualifications:
Required
  • 5-7+ years in clinical research/RWE data management with hands-on database build + cleaning/QC ownership.
  • SQL + Python (or R) for data transformation, QC checks, and reproducible pipelines.
  • Experience with EHR or EHR-derived datasets and understanding of common structures/coding systems (ICD-10, CPT, LOINC, RxNorm preferred).
  • Practical familiarity with API-based ingestion and integrating multiple data sources/models.
  • Experience building/owning DMPs/SOPs/runbooks and maintaining audit-ready documentation.
  • Familiarity with integrating leading AI techniques into your work product.

Preferred
  • Experience with EDC platforms (Medidata Rave, REDCap, Castor, Veeva, etc.).
  • CDISC familiarity (SDTM/ADaM) or strong equivalent standardization experience.
  • Stats experience in real-world/implementation studies (propensity methods, time-to-event, mixed models) - not required to be a PhD biostatistician
What success looks like:
  • You are energized by building scalable, audit-ready Evidence Generation data systems; turning EHR-derived real-world data into clean, analysis-ready research datasets with minimal manual effort.
  • You take end-to-end ownership of Research Databases (ingest → validation → cleaning → QC → data lock), and you continuously improve the EHR→Viz→EDC auto-import pipeline by designing resilient mappings, unifying disparate data models, and proactively troubleshooting data issues with sites and internal partners.
  • You communicate clearly, document rigorously, and train teammates through lightweight SOPs, runbooks, and templates so the work scales across multiple care pathways.
  • You manage competing priorities well and deliver on-time, high-quality outputs that support study milestones and sponsor expectations, while consistently practicing Viz core values.
  • After 90 days: there is visible improvement in data management execution - standardized database templates are in use, an agreed SDV/QA approach is documented, automated import performance is measured and improving, and stakeholders see faster turnaround on monitoring/cleaning and sponsor-ready reporting (with clear audit trails and reproducible outputs).

Why should you join us?
  • If you are looking to make an impact, we are mission-driven and are making a difference in peoples' lives every day.
  • If you want to be a part of an amazing team , our people are the heart of everything we do.
  • If you are a self-starter and naturally motivated, our work is driven by curiosity, innovation and team collaboration which allows us to leverage our skills immeasurably.

We are a remote-first company across the U.S. and EU, with a team in Tel Aviv operating in a flexible hybrid model, conveniently located near a train line.
Viz.ai is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided.
In the U.S., Viz offers competitive benefits, including medical, dental, vision, 401(k), generous vacation, and additional benefits to full-time employees. Viz.ai is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis prohibited by federal, state, or local law.
Employees in Israel are offered a comprehensive benefits package, including, among others: dental insurance, performance-based bonuses, a Cibus meal allowance, meals at the office, and more.
If you're applying for a position in San Francisco, please review the San Francisco Fair Chance Ordinance guidelines applicable in your area.
#LI: GH1
#LI: remote

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