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Remote Data Research Jobs in Maryland (NOW HIRING)

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Meade Posting Date 07/24/2026 Security Clearance Required - TS/SCI + Poly Remote Type N/A Time Type ... Elder Research values continuous learning, a supportive work environment, and a healthy work-life ...

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Meade Posting Date 07/24/2026 Security Clearance Required - TS/SCI + Poly Remote Type N/A Time Type ... Elder Research values continuous learning, a supportive work environment, and a healthy work-life ...

The percentage of remote work will vary based on client requirements/deliverables Fun stuff you ... Work on research tasks to recommend optimal approaches to index and organize data for discovery.

Through our two business units- Emmes, a full-service CRO , and Veridix AI, our technology, data ... conducts remote and on site monitoring visits such as qualification/pre study visits, site ...

Perform remote and on-site monitoring/co-monitoring visits (Site Qualification Visits, Site ... to ensure data integrity and subject safety in the client's trials * May perform oversight ...

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Showing results 1-20

Remote Data Research information

See Maryland salary details

$9

$34

$78

How much do remote data research jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for remote data research in Maryland is $34.43, according to ZipRecruiter salary data. Most workers in this role earn between $17.01 and $46.24 per hour, depending on experience, location, and employer.

What is a remote data research?

A Remote Data Research job involves gathering, analyzing, and interpreting data from various sources while working remotely. Responsibilities may include data collection, validation, and generating insights to support decision-making. Professionals in this role often use online databases, surveys, and other digital tools to extract relevant information. Strong analytical skills, attention to detail, and proficiency with data-related software are essential. This position is commonly found in industries like market research, finance, healthcare, and technology.

What are the typical daily responsibilities of a remote data research?

A typical day in Remote Data Research involves gathering and verifying large sets of data from various sources, cleaning and organizing data to ensure quality, and analyzing trends or anomalies based on project requirements. Professionals often prepare reports or visualizations to clearly communicate their findings to team members or stakeholders, and may participate in virtual meetings to discuss research goals and progress. Collaboration is usually done via email, chat, or video calls, and while the work is independent, it requires regular check-ins with supervisors or project leads. This role is ideal for those who are detail-oriented, self-driven, and comfortable managing their own workflow remotely.

What are the key skills and qualifications needed to thrive in remote data research, and why are they important?

To excel as a Remote Data Research professional, you need strong analytical skills, attention to detail, and experience with data collection and evaluation, often supported by a degree in statistics, information science, or a related field. Familiarity with data analysis tools such as Excel, SQL, or Python, and sometimes formal certifications in data analytics, are commonly expected. Exceptional time management, self-motivation, and effective written communication enhance success in this remote role. These abilities are critical for ensuring accurate research, meeting deadlines, and reporting findings clearly while working independently.

What are the most commonly searched types of Data Research jobs in Maryland?

The most popular types of Data Research jobs in Maryland are:

What cities in Maryland are hiring for Remote Data Research jobs?

Cities in Maryland with the most Remote Data Research job openings:

Infographic showing various Remote Data Research job openings in Maryland as of August 2026, with employment types broken down into 42% Internship, and 58% Full Time. Highlights an 100% Remote job distribution, with an average salary of $71,617 per year, or $34.4 per hour.

Data Quality Analyst (Translational Research)

Digital Infuzion

Rockville, MD • On-site, Remote

$65K - $80K/yr

Full-time

Re-posted 6 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.