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Data Review Scientist Jobs in Silver Spring, MD (NOW HIRING)

Scientific Data Analyst

Vienna, VA ยท On-site

$85K - $115K/yr

Scientific Data Analyst Clearance Required: Public Trust - Federal Client requires US Citizenship ... Review data error logs to ensure that requested data modifications are done according to the ...

Scientific Data Analyst

Vienna, VA ยท On-site +1

$85K - $115K/yr

Scientific Data Analyst Clearance Required: Public Trust - Federal Client requires US Citizenship ... Review data error logs to ensure that requested data modifications are done according to the ...

Work closely with analysts and scientific staff to investigate and resolve data discrepancies, sample management questions, and documentation issues. * Maintain accurate QC review records in ...

Work closely with analysts and scientific staff to investigate and resolve data discrepancies, sample management questions, and documentation issues. * Maintain accurate QC review records in ...

Reviews and evaluate clinical study protocols and reports submitted in NDAs (New Drug Applications ... The Data Scientist is responsible for reaching regulatory decisions and recommending approval of ...

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Data Review Scientist information

See Silver Spring, MD salary details

$38.6K

$126.5K

$202.5K

How much do data review scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data review scientist in Silver Spring, MD is $126,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

What does a data review scientist do?

A Data Review Scientist is responsible for reviewing, validating, and interpreting scientific data to ensure its accuracy, integrity, and compliance with regulatory standards. They often work in pharmaceutical, clinical, or research settings, analyzing experimental or clinical trial data for errors, inconsistencies, and completeness. Their work helps ensure that scientific findings are reliable and can be used to support research conclusions or regulatory submissions.

What are the key skills and qualifications needed to thrive as a data review scientist?

To thrive as a Data Review Scientist, you need a solid background in life sciences or related fields, strong analytical skills, and experience with data validation and interpretation. Familiarity with data management systems such as LIMS, proficiency in statistical analysis tools like SAS or R, and knowledge of regulatory guidelines (e.g., GxP, FDA) are typically required. Attention to detail, critical thinking, and effective communication help ensure accuracy and clarity when reviewing complex datasets and collaborating with cross-functional teams. These skills are crucial for maintaining data integrity and supporting regulatory compliance in scientific research and clinical trials.

What are some common challenges faced by data review scientists when ensuring data integrity in research projects?

Data Review Scientists often encounter challenges such as identifying inconsistencies in large datasets, resolving discrepancies between source documents and digital records, and ensuring strict adherence to regulatory standards like GLP or GCP. They must also coordinate with cross-functional teams, including laboratory staff and data managers, to clarify data queries and implement corrective actions promptly. Staying updated with evolving data management technologies and regulatory requirements is crucial for success and helps maintain the highest levels of data integrity throughout research projects.

What is the difference between Data Review Scientist vs Data Analyst?

AspectData Review ScientistData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; familiarity with data review toolsBachelor's degree in data analysis, statistics, or related field; proficiency in data visualization and analysis software
Work EnvironmentHealthcare, clinical trials, or research settings focusing on data quality and complianceBusiness, marketing, finance, or operations across various industries analyzing data trends
Employer & Industry UsagePharmaceutical companies, research institutions, healthcare organizationsCorporations, marketing agencies, financial firms, and tech companies

While both roles involve working with data, Data Review Scientists primarily focus on ensuring data quality and compliance in research or clinical settings, whereas Data Analysts interpret data to inform business decisions across diverse industries.

What are popular job titles related to Data Review Scientist jobs in Silver Spring, MD?

For Data Review Scientist jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Data Review Scientist jobs in Silver Spring, MD look for?

The top searched job categories for Data Review Scientist jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Data Review Scientist jobs?

Cities near Silver Spring, MD with the most Data Review Scientist job openings:

Infographic showing various Data Review Scientist job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $120,760 per year, or $58.1 per hour.

Clinical Data Scientist, FDA (Mid)

DRT Strategies, Inc.

Silver Spring, MD โ€ข On-site

$95K - $125K/yr

Full-time

Re-posted 18 days ago


Job description

Overview
DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, state and local government and commercial clients in health care, technology, and financial services industries.
The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together.
We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality.
Project Description:
The Clinical Analyst contractor position provides scientific and clinical analytical support to CDER Office of New Drugs (OND) multi-disciplinary review teams. The individual will assist in the evaluation of drug applications, review clinical safety data, labeling assessment, and preparation of scientific reports. The work requires advanced knowledge in health and data sciences and
the ability to apply scientific expertise to support risk determinations in the context of regulatory review.
Note: This is a support role. All regulatory decisions, final recommendations, and official communications with applicants remain the exclusive responsibility of qualified FDA
federal employees. The contractor's work products are subject to review and approval by FDA staff.
Job Summary:
The Clinical Analyst position interacts with many FDA stakeholders across several Offices and Centers specifically with clinical reviewers (Medical Officers) and statistical reviewers. This role will be responsible for reviewing safety data sufficiency and integrity, conducting safety data analyses, verifying safety data submitted by the applicant, and generating high-quality scientific reports.
Responsibilities:
Clinical Data Analysis and Review
  • Analyze and evaluate submitted data from applicants seeking permission to market new drugs for general use and prepare analytical summaries on the adequacy of safety data provided.
  • Review NDAs, BLAs, supplements, and amendments; prepare draft analytical reports and recommendations for FDA reviewer consideration.
  • Incorporate summaries from clinical safety data reviews as part of integrated multi- disciplinary assessments. Prepare, oversee, and maintain project schedules.
Labeling Review Support
  • Assist in the review of proposed drug labeling to assess whether safety claims are truthful and adequately supported.
  • Provide draft safety data analysis on labeling accuracy and completeness for review by FDA staff.
Scientific Correspondence and Reporting
  • Draft scientifically sufficient reports of findings that clearly communicate clinical safety analyses and conclusions.
  • Prepare draft correspondence identifying facts and information inadequately presented in sponsor submissions, for FDA reviewer finalization and issuance.
  • Prepare clear summaries of clinical safety data tables, figures and listings for FDA review team use.
Literature Review and Knowledge Management
  • Review scientific literature and maintain awareness of current clinical developments and evolving findings in relevant therapeutic areas.
  • Support preparation of background materials for seminars, conferences, and industry meetings.
  • Stakeholder Support
  • Support clinical review teams in preparing for meetings with drug company representatives, advisory committees, and external scientific bodies.
Other Tasks
  • Lead meetings with clinical reviewers and statistical reviewers to present results from data quality assessments and standard safety data analyses.
  • Collaborate with CDER OND staff to optimize team processes and deliverables.
  • Work with FDA stakeholders to review background packages and mock safety datasets to assess appropriateness of controlled terminology and safety dataset structure.
  • Interact with government and contractor teams to help manage and monitor project progress, risk, issues, and track action items.
  • Manage, organize, and update SharePoint sites.
  • Assist in overall project support, as needed.
  • Support any other DRT tasks as assigned/requested by Portfolio Manager and Account Lead.
Required Experience:
  • PhD or PharmD with minimum of 3 years professional experience.
  • Technical proficiency in programming languages- R (mandatory) with demonstrated experience using R for data manipulation, analysis, and visualization in a clinical or regulatory research context.
  • R programming - ability to troubleshoot errors in R.
  • Experience with CDISC data standards (including SDTM and ADaM) and safety dataset structure (e.g., adsl.xpt, adae.xpt, adlb.xpt, advs.xpt, and adeg.xpt)
  • Understands data analytical methods (e.g., longitudinal analysis, time-to-event analyses, and causal/correlation analyses) for conducting safety data analyses (tables and figures)
  • Understands safety review elements including trial design, demographics, exposure, death, discontinuation, dose modification, SAE, TEAE, FMQ, AESI, laboratory tests, and vital signs. Working knowledge of safety analysis methods, including the evaluation of adverse event data, safety signal detection, and the preparation of standardized safety tables and figures.
  • Strong analytical and statistical skills to assess safety data.
  • Excellent organizational, time management, verbal and written communication skills.
  • Ability to independently manage a variety of projects with frequent interruptions and shifting priorities.
  • Ability to organize a continuous flow of work in a timely manner and meet mandatory deadlines.
  • Computer skills: MS Office Suite (particularly PowerPoint, Word, Excel), Adobe Acrobat.
  • Ability to work independently within a multidisciplinary team.
Preferred Experience:
  • Proficiency in manipulating data using R programming.
  • Experience and/or knowledge of analytical software including JReview, JMP, JMP Clinical, etc.
  • Experience in SAS programming.
  • Ability to apply knowledge of scientific research principles, study design concepts, and methods sufficient to evaluate clinical drug development programs.
  • Experience in applying clinical safety data analytical skills, including the ability to synthesize clinical and scientific evidence to inform risk assessments.
  • Experience in clinical trials, especially statistical hypothesis testing methods. Understands general concept of clinical trial design and drug development (e.g., adequate and well-controlled studies).
  • Statistical background, including experience with biostatistical methods commonly
    applied in clinical trial design, analysis, and interpretation (e.g., survival analysis, mixed-
    effects models, hypothesis testing).
  • Machine learning and AI background, including familiarity with predictive modeling
    techniques (e.g., classification models, regression models, random forest, or neural
    networks) and their potential applications in drug safety evaluation and regulatory science.
  • Epidemiological background, including experience with observational study design, real-
    world evidence, pharmacoepidemiology, or population-level safety surveillance methods.
  • Ability to work with little direct supervision on loosely defined tasks and coordinate work across multiple projects.
  • Experience identifying, articulating, and resolving complex, unique, and previously unresolved.
  • Familiarity with FDA regulatory process and/or working experience at FDA.
Education & Training:
  • PhD/PharmD or equivalent degrees are preferred.
Work Authorization, Clearance Requirement, & Additional Information:
  • This position requires the ability to obtain and maintain a U.S. government Public Trust clearance. Due to contract requirements, candidates must be U.S. citizens or lawful permanent residents (green card holders) to be eligible.
  • No agencies, third parties, or Corp-to-Corp submissions.
Salary Range:
  • $95,000-125,000
  • Salary commensurate with experience.

DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law.
Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing HR@drtstrategies.com, or by dialing 571-482-2517.
For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish).
Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at hr@drtstrategies.com if you believe you have received a fraudulent email.