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Remote Clinical Research Jobs in Silver Spring, MD

Overview Senior Biostatistician Manager US Remote Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the promise of new medical ...

US Remote Travel: Yes (roughly 15-20% of the year domestic & international) Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the ...

Overview Senior Project Leader US Remote Emmes Group: Building a better future for us all. Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery ...

Showing results 41-60

Remote Clinical Research information

See Silver Spring, MD salary details

$50.7K

$111K

$195.4K

How much do remote clinical research jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote clinical research in Silver Spring, MD is $110,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,700.00 and $126,600.00 per year, depending on experience, location, and employer.

What is remote clinical research?

A Remote Clinical Research job involves conducting and managing clinical trials and research studies from a remote location, rather than in a traditional on-site setting. Responsibilities may include data collection, regulatory compliance, patient monitoring, and communication with study teams. These roles often use digital tools and electronic data capture systems to ensure research integrity and efficiency. Remote clinical research professionals typically work for pharmaceutical companies, contract research organizations (CROs), or healthcare institutions. This job offers flexibility while still contributing to medical advancements and patient care.

What are the key skills and qualifications needed to thrive in remote clinical research?

To thrive in Remote Clinical Research, a strong background in life sciences, research methodologies, and clinical trial protocols is essential, often supported by a relevant bachelor’s or master’s degree. Familiarity with tools such as Electronic Data Capture (EDC) systems, CTMS (Clinical Trial Management Systems), and certifications like Good Clinical Practice (GCP) are highly valued. Exceptional written and verbal communication, self-motivation, and organizational skills help remote researchers successfully collaborate and manage studies from a distance. These skills ensure rigorous data integrity, compliance with regulations, and effective teamwork in a remote setting.

What are some unique challenges and benefits of working in remote clinical research?

Working remotely in clinical research often requires you to be highly independent, organized, and proficient with digital collaboration tools, as you'll be coordinating with cross-functional teams and managing regulatory documentation from a distance. One challenge can be maintaining consistent communication with clinical sites and colleagues across different time zones, but many companies provide robust digital platforms to facilitate this. On the plus side, remote roles offer flexibility and a better work-life balance while still allowing you to contribute to impactful research. Many remote clinical research professionals report developing strong self-discipline and process management skills, which can open doors to advanced positions such as Clinical Research Associate or Project Manager.

What are the most commonly searched types of Clinical Research jobs in Silver Spring, MD?

The most popular types of Clinical Research jobs in Silver Spring, MD are:

What job categories do people searching Remote Clinical Research jobs in Silver Spring, MD look for?

The top searched job categories for Remote Clinical Research jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Clinical Research jobs?

Cities near Silver Spring, MD with the most Remote Clinical Research job openings:

Infographic showing various Remote Clinical Research job openings in Silver Spring, MD as of August 2026, with employment types broken down into 3% As Needed, 76% Full Time, 14% Part Time, and 7% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $110,962 per year, or $53.3 per hour.

Data Quality Analyst (Translational Research)

Digital Infuzion

Rockville, MD • Remote

$65K - $80K/yr

Full-time

Re-posted 13 days ago


Job description

We believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care.
Our team thrives in a creative, open, and growth-oriented environment, guided by our core values:
  • Outcomes First: Focusing on what matters most and making timely, informed decisions.
  • Innovative: Embracing creativity and continuous improvement to drive novel solutions.
  • Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care.
  • Never Satisfied: Pursuing excellence and continuous growth beyond the status quo.
  • Resilient: Adapting and persevering through challenges, turning obstacles into opportunities.

If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you.
Position Summary
The Data Quality Analyst will play a key role in evaluating scientific data submissions across the translational research continuum, ensuring accuracy, completeness, and adherence to established standards. This role requires attention to detail, familiarity with pre-clinical research concepts, and an interest in applying best practices to evolving areas of biomedical research, including influenza and infectious disease.
Working under the guidance of the Data Quality Manager and Scientific Program Manager, the Data Quality Analyst will review submissions for scientific and methodological soundness, support the development of efficient data workflows, and contribute to continuous improvements in data quality processes and models. This position provides an excellent opportunity to build expertise at the intersection of data quality, scientific research, and informatics.
Key Responsibilities
  • Review scientific data submissions for completeness, accuracy, and adherence to defined standards.
  • Evaluate the consistency and scientific relevance of data and flag potential issues for review.
  • Assess methodological details of pre-clinical and translational research submissions under the guidance of senior staff.
  • Support the translation of data workflows into transparent, structured processes that can be adapted for automation and AI-assisted review.
  • Collaborate with scientific staff, informatics teams, and data providers to resolve discrepancies and improve data quality.
  • Assist in monitoring data quality metrics and document trends or recurring issues.
  • Maintain up-to-date knowledge of emerging research methods, data standards, and automation tools to support improvements in data quality practices.
  • Contribute to team documentation and process refinement efforts as part of continuous improvement initiatives.

Required Qualifications
  • Bachelor’s degree in a relevant scientific or data-related discipline (e.g., biomedical sciences, bioinformatics, epidemiology, virology, immunology, or related field).
  • Familiarity with pre-clinical research methods and experimental design.
  • Strong attention to detail with the capacity to identify inconsistencies or gaps in structured scientific data.
  • Ability to follow established data quality workflows and contribute to process documentation.
  • Strong written and verbal communication skills, with the ability to summarize findings clearly.
  • Collaborative mindset, with the willingness to seek guidance and work effectively in a cross-disciplinary team.

Preferred Qualifications
  • Master’s degree in a relevant scientific or data-related field.
  • Understanding of controlled vocabularies, ontologies, and biomedical data standards.
  • Familiarity with database systems, structured data models, or data submission pipelines.
  • Exposure to human-in-the-loop AI processes and automation in data review workflows.
  • Experience with quality control, process improvement, or research data management.

*This is a remote-eligible position

Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws.

We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Talent Acquisition at careers@digitalinfuzion.com. The decision on granting reasonable accommodation will be made on a case-by-case basis.

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