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Research Data Manager Jobs in Silver Spring, MD (NOW HIRING)

Req ID: 40891 Summary Data Manager / Curator Arlington, VA Are you ready to enhance your skills and ... To help you with your research, we suggest you review the following links: Chenega MIOS web site ...

Summary Data Manager / Curator Arlington, VA Are you ready to enhance your skills and build your ... To help you with your research, we suggest you review the following links: Chenega MIOS web site ...

Demonstrated expertise in data management. Ability to coordinate various activities (research subject schedules, data and biospecimen collection and nursing care) to ensure proper and timely filing ...

Data Coordinator

Washington, DC ยท On-site

$62K - $70K/yr

This opportunity is ideal for someone with experience in survey research, data management, and reporting who enjoys working with complex datasets and supporting data-driven decision-making.

Data Engineer

Rockville, MD ยท On-site

$116K - $140K/yr

... and data science applications to research centers and healthcare organizations nationally and ... and program management, we focus on developing and applying research tools and techniques to ...

Showing results 21-40

Research Data Manager information

See Silver Spring, MD salary details

$32K

$100.4K

$177.8K

How much do research data manager jobs pay per year?

As of Aug 6, 2026, the average yearly pay for research data manager in Silver Spring, MD is $100,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,200.00 and $129,700.00 per year, depending on experience, location, and employer.

What are some common challenges faced by research data managers, and how can they be addressed in day-to-day work?

Research Data Managers often encounter challenges such as ensuring data integrity, managing large volumes of diverse data, and complying with data privacy regulations. To address these issues, they implement robust data management plans, maintain clear documentation, and regularly conduct data audits. Effective collaboration with researchers and IT staff is also essential to streamline workflows and troubleshoot data-related issues, ensuring the research process remains efficient and compliant.

What are the key skills and qualifications needed to thrive as a research data manager?

To thrive as a Research Data Manager, you need expertise in data management, database design, and knowledge of regulatory compliance, often supported by a degree in information science or a related field. Familiarity with data management systems (such as REDCap or SQL databases), data security protocols, and relevant certifications like Certified Research Data Manager (CRDM) is typically required. Strong organizational skills, attention to detail, and effective communication are vital soft skills for coordinating with research teams and ensuring data integrity. These abilities ensure that research data is accurate, secure, and accessible, supporting the success and credibility of scientific projects.

What is a research data manager?

Research Data Managers are professionals responsible for overseeing the collection, organization, storage, and sharing of research data throughout the lifecycle of a research project. They ensure data integrity, security, and compliance with relevant legal, ethical, and institutional requirements. Their work enables researchers to manage data efficiently, promote data sharing, and support reproducibility and transparency in research.

What is the difference between Research Data Manager vs Data Analyst?

AspectResearch Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Information Management, or related fieldsBachelor's or Master's in Statistics, Data Science, or related fields
Work EnvironmentResearch institutions, universities, clinical trials, or research labsBusiness, finance, marketing, or healthcare organizations
Employer & Industry UsagePrimarily in research settings managing data collection, storage, and complianceAnalyzing data to inform business decisions across various industries

Research Data Managers focus on organizing, maintaining, and ensuring the integrity of research data within academic or clinical research environments. Data Analysts interpret and analyze data to generate insights for business or research purposes. While both roles require strong data skills, Research Data Managers emphasize data management and compliance, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Research Data jobs in Silver Spring, MD? The most popular types of Research Data jobs in Silver Spring, MD are:
What are popular job titles related to Research Data Manager jobs in Silver Spring, MD? For Research Data Manager jobs in Silver Spring, MD, the most frequently searched job titles are:
What cities near Silver Spring, MD are hiring for Research Data Manager jobs? Cities near Silver Spring, MD with the most Research Data Manager job openings:
Infographic showing various Research Data Manager job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $100,426 per year, or $48.3 per hour.

Data Scientist - TS/SCI

Integrity Management Consulting

Washington, DC โ€ข On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Integrity Management Consulting is seeking a Data Scientist with TS/SCI clearance to perform statistical, analytical, and data management techniques for intelligence and operational data. The role involves conducting research, developing database strategies, and preparing technical reports using data-driven insights.
Responsibilities:
โ€ข Experience performing statistical, analytical, and data management techniques for intelligence and operational data.
โ€ข Ability to conduct extensive classified and unclassified research and reference searches, develop database retrieval strategies, and perform on-line reference search services.
โ€ข Skilled in evaluating the quality and relevance of large, diverse datasets, including formal research, data cleansing and synthesis, and database management.
โ€ข Proven experience in preparing and delivering technical analytical reports, presentations, memoranda, and supporting documentation using data-driven insights.
โ€ข Demonstrated proficiency in querying, organizing, extracting, and analyzing both structured and unstructured data using database tools.
โ€ข Experience supporting all aspects of the Data Science Life Cycle, including data collection, preparation, analysis, and generating actionable intelligence.
โ€ข Ability to provide technical advice, collaborate in developing data models, and generate performance measures to address critical management needs and compliance.
Qualifications:
Required:
โ€ข Experience performing statistical, analytical, and data management techniques for intelligence and operational data.
โ€ข Ability to conduct extensive classified and unclassified research and reference searches, develop database retrieval strategies, and perform on-line reference search services.
โ€ข Skilled in evaluating the quality and relevance of large, diverse datasets, including formal research, data cleansing and synthesis, and database management.
โ€ข Proven experience in preparing and delivering technical analytical reports, presentations, memoranda, and supporting documentation using data-driven insights.
โ€ข Demonstrated proficiency in querying, organizing, extracting, and analyzing both structured and unstructured data using database tools.
โ€ข Experience supporting all aspects of the Data Science Life Cycle, including data collection, preparation, analysis, and generating actionable intelligence.
โ€ข Ability to provide technical advice, collaborate in developing data models, and generate performance measures to address critical management needs and compliance.
โ€ข Bachelor's degree or higher from an accredited institution in data science, computer science, statistics, mathematics, engineering, or a closely related field.
Preferred:
โ€ข Experience supporting intelligence community (IC) or federal agency analytics requirements.
โ€ข Advanced programming skills for statistical analysis and data modeling (such as Python, R, or SQL).
โ€ข Prior work developing or validating analytical and decision support tools for risk management or operational planning.
โ€ข Preferred clearance is Top Secret/Sensitive Compartmented Information (TS/SCI).
Company:
Mission To have a lasting impact on our Federal clients'โ€‹ mission success through a trusted partnership driven by our passion for defining, acquiring and managing programs in a way that creates enduring value and results in a better trained client workforce. Founded in 2006, the company is headquartered in Fairfax, USA, with a team of 51-200 employees. The company is currently Growth Stage.