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Data Scientist Research Assistant Jobs (NOW HIRING)

Howard University

Research Assistant

Washington, DC · On-site

$21 - $31/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

Howard

Research Assistant

Downing, WI

$21 - $31/hr

The candidate should be well-informed about the scientific method, human subjects research, and data analysis using computational and statistical techniques. The Research Assistant will assist in ...

The Pennsylvania State University

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research You will aid our research efforts in this unique problem area that has ...

Howard University

Research Assistant

Washington, DC · On-site

$24/hr

The Research Assistant will contribute to interdisciplinary projects within the Department of ... D. degree program in Computer Science, Data Science, Biomedical Engineering, or a related field

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

As of Jul 19, 2026, the average hourly pay for data scientist research assistant in the United States is $39.02, according to ZipRecruiter salary data. Most workers in this role earn between $25.72 and $59.62 per hour, depending on experience, location, and employer.

What are Data Scientist Research Assistants?

Data Scientist Research Assistants are professionals who support data scientists in conducting research projects by collecting, cleaning, and analyzing large datasets. They help design experiments, implement statistical models, and interpret results to draw meaningful conclusions. Their work often involves using programming languages like Python or R, as well as machine learning tools to assist in developing research insights. These assistants may also contribute to writing research papers and preparing presentations of findings.

What are some common challenges faced by Data Scientist Research Assistants when working with large datasets?

Data Scientist Research Assistants often encounter challenges such as managing data quality, dealing with incomplete or inconsistent data, and optimizing code for efficient data processing. Working with large datasets can also require familiarity with specialized tools and cloud platforms to ensure smooth data storage and retrieval. Collaborating closely with senior data scientists and researchers, you may also need to communicate complex findings in a clear, actionable way to both technical and non-technical team members.

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

To thrive as a Data Scientist Research Assistant, you need a solid understanding of statistics, data analysis, and programming—often supported by a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Python, R, SQL, and data visualization platforms, along with experience using machine learning libraries, is typically required. Strong analytical thinking, problem-solving, and effective communication skills help you interpret results and collaborate with research teams. These competencies are essential to support rigorous, data-driven research and ensure the accuracy and clarity of findings.

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

AspectData Scientist Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, finance, marketing, or healthcare industries
Employer & Industry UsageUniversities, research institutes, tech companiesCorporations, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding roles in research projects, academic workAnalyzing data for business insights, reporting

The Data Scientist Research Assistant typically works in research-focused environments, supporting data collection and analysis for academic or scientific projects. In contrast, Data Analysts focus on interpreting data to inform business decisions. While both roles require strong analytical skills, the research assistant often has a more academic or scientific focus, whereas data analysts are more industry-oriented.

What cities are hiring for Data Scientist Research Assistant jobs? Cities with the most Data Scientist Research Assistant job openings:
What are the most commonly searched types of Data Scientist Research jobs? The most popular types of Data Scientist Research jobs are:
What states have the most Data Scientist Research Assistant jobs? States with the most job openings for Data Scientist Research Assistant jobs include:
Data Scientist Research Assistant jobs near you

Data Scientist (Research & Evaluation)

AJAIA

Fort Lauderdale, FL • On-site

Full-time

Posted 17 days ago

Job description

Role Overview

LaunchEd is an innovation platform that helps education companies prove the real-world impact of their products through independent research and evidence-based validation. We partner with promising edtech companies, evaluate their effectiveness, and use those insights to support investment, growth, and go-to-market decisions.

As the Data Scientist (Research & Evaluation), you'll build and deliver the research behind those decisions. You'll design studies, analyze quantitative data, measure product efficacy and return on investment (ROI), and produce clear, defensible findings that help determine whether products are creating meaningful outcomes for schools, educators, and students.

This role is ideal for someone who enjoys statistical analysis, research design, and using data to answer important business and educational questions.

Key Responsibilities

Efficacy & ROI Evaluation

• Baseline statistical benchmarks at intake and track them throughout program participation, from

intake to graduation.

• Design and run studies measuring product impact on student and operational outcomes.

• Quantify return on investment for companies and products across the LaunchEd portfolio.

• Produce independent, evidence-based evaluations that hold up to outside scrutiny.

• Produce efficacy and ROI reports on LaunchEd clients that are benchmarked against comparable

external data.

• Collaborate with higher-education and university partners to pursue university-sanctioned

research.

The LaunchEd Validation Score

• Develop and maintain the LaunchEd Validation Score as a core piece of platform IP.

• Establish a consistent, defensible methodology that can serve as a credible market standard for

edtech validation.

• Translate study findings into the standardized LaunchEd Validation Report.

In-House Study Capacity

• Deliver multiple efficacy and ROI studies per year as a repeatable in-house capability.

• Reduce reliance on external efficacy and validation vendors.

Cross-Department Support

• Provide research and analysis support across LaunchEd teams, including network grading and

accreditation.

• Partner with the deal team to feed validated outcomes into Gate 2 reviews and Investment

Committee decisions.

Requirements

• Strong quantitative and statistical analysis skills, with the ability to design and run studies

independently.

• Experience measuring efficacy, outcomes, or return on investment, ideally in education or a

related field.

• Ability to build clear, defensible methodologies and translate data into decision-ready findings.

• Familiarity with education data, student outcomes, and relevant compliance considerations such

as FERPA and COPPA is a plus.

• Proficiency with data analysis tools such as Excel, SQL, and Python or R, and clear data

visualization.

• Detail orientation, independence, and discretion handling confidential company and student data.

• Alignment with LaunchEd’s mission and the Strong Minds, Good Hearts ethos.

Benefits

  • Competitive base salary + performance incentives
  • Professional development opportunities