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Data Science Research Assistant Jobs in Silver Spring, MD

Analyze data using statistical or qualitative analysis tools. * Prepare reports, presentations, and ... Bachelors or Mastersdegree in a relevant field (e.g., social sciences, public health, biology ...

Research Assistant

Baltimore, MD · On-site

$20 - $23/hr

Ensure real-time data entry and protocol compliance * Support study setup, equipment checks, and ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

Ensure real-time data entry and protocol compliance * Support study setup, equipment checks, and ... Pharmaron is a premier service provider for the life sciences industry. Founded in 2004, Pharmaron ...

Data Scientist

Suitland, MD · On-site +1

$143K - $187K/yr

Lead advanced data science research by developing and applying analytical models, computational methods, and data systems to generate insights and support agency programs. * Lead organizational data ...

Research Assistant

Washington, DC · On-site

$21.75 - $30/hr

... Psychiatry and Behavioral Sciences. SUPERVISORY AUTHORITY: N/A PRINCIPAL ACCOUNTABILITIES ... Performs a variety of data management procedures (e.g., data entry, producing basic reports, data ...

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Data Science Research Assistant information

See Silver Spring, MD salary details

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How much do data science research assistant jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data science research assistant in Silver Spring, MD is $22.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $26.35 per hour, depending on experience, location, and employer.

Is 30 too late for data science?

Data science research assistants can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated competence and ongoing development in the field.

What does a Data Science Research Assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

What are the key skills and qualifications needed to thrive as a Data Science Research Assistant, and why are they important?

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

Is AI replacing data scientists?

AI is transforming the role of data science research assistants by automating routine tasks like data cleaning and analysis, but it does not replace the need for human expertise in designing models, interpreting results, and making strategic decisions. Data scientists and research assistants with skills in programming, statistical analysis, and machine learning remain essential for developing and deploying AI solutions effectively. AI tools serve as complements that enhance productivity rather than substitutes for skilled data professionals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science research assistant; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.

How do Data Science Research Assistants typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is a data research assistant?

A data research assistant is a professional who supports data collection, analysis, and interpretation for research projects. They often work with statistical tools and programming languages like Python or R and may assist in preparing reports or visualizations under the guidance of senior researchers.
What job categories do people searching Data Science Research Assistant jobs in Silver Spring, MD look for? The top searched job categories for Data Science Research Assistant jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Science Research Assistant jobs? Cities near Silver Spring, MD with the most Data Science Research Assistant job openings:
Infographic showing various Data Science Research Assistant job openings in Silver Spring, MD as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution, with an average salary of $47,110 per year, or $22.6 per hour.
Senior Research Assistant

Senior Research Assistant

VSI

Reston, VA • On-site

Full-time

Posted 21 days ago


Job description

Salary: $25.00+ dependent on experience

Position Overview

TheSenior Research Assistant supportsthe research team andprojects by coordinating study activities,collecting and analyzing data, maintainingdocumentation, andassistingwith publications. This role typically involves greater responsibility than a standard research assistant, including mentoring junior staff, managing parts of research projects, and ensuring compliance with research protocols.


This is a full-time position working out of our Reston, VA office. Candidates must be able to work regular office hours Monday to Friday from 8am to 5pm.

Key Responsibilities

  • Assistin the design, planning, and execution of research studies or experiments.
  • Collect, organize, andmaintainquantitative and qualitative research data.
  • Conduct literature reviews and summarize findings to support researchobjectives.
  • Analyze data using statistical or qualitative analysis tools.
  • Prepare reports, presentations, and research summaries.
  • Support the preparation of manuscriptsand publications.
  • Ensure research activities follow ethical standards, institutional policies, and regulatory guidelines.
  • Manage research documentation, databases, and study records.
  • Coordinate project timelines and research activities with team members.
  • Supervise or mentor junior research assistants, interns, or students.
  • Assistwith participant recruitment and data collection where applicable.

Required Qualifications

  • Bachelors or Mastersdegree in a relevant field (e.g., social sciences, public health, biology, psychology, economics, engineering, etc.).
  • 1-3years of research experience or equivalent experience in a research environment.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent written and verbal communication skills.
  • Ability to manage multiple research tasks and deadlines.

Preferred Qualifications

  • Experience working on research projects.
  • Experience with research ethics protocols (IRB or equivalent).
  • Prior experience supervising or training research staff.
  • Publication or contribution to academic or industry research outputs.

Key Skills

  • Research design andmethodology
  • Data analysis and interpretation
  • Technical writing and reporting
  • Project coordination
  • Attention to detail
  • Collaboration and mentorship