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How much do data scientist research associate jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data scientist research associate in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Scientist Research Associate, you need a solid background in statistics, machine learning, and data analysis, generally supported by a degree in computer science, statistics, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools, and knowledge of platforms like SQL and TensorFlow are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are crucial for generating actionable insights from data and advancing research objectives.

What is a Data Scientist Research Associate?

A Data Scientist Research Associate is a professional who applies statistical analysis, machine learning, and data management techniques to conduct research and extract insights from complex datasets. They often work in academic, government, or industry research settings, supporting projects by designing experiments, analyzing large volumes of data, and interpreting results. Their work helps inform decision-making, advance scientific knowledge, and develop new data-driven solutions. Typically, they collaborate with multidisciplinary teams and may contribute to publishing research findings.

What are some typical challenges faced by Data Scientist Research Associates when working on interdisciplinary projects?

Data Scientist Research Associates often collaborate with experts from fields such as engineering, biology, or social sciences. A common challenge is bridging the communication gap between disciplines, as each may have its own jargon and methodologies. Additionally, integrating and preprocessing diverse datasets can be complex due to varying data formats and quality. Overcoming these challenges requires strong communication skills, adaptability, and a willingness to learn about domain-specific concepts to ensure productive teamwork and successful project outcomes.
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Data Scientist Research Associate jobs near you
Research Scientist/Research Associate

Research Scientist/Research Associate

Dartmouth College

Hanover, NH • On-site

Full-time

Posted yesterday

Dartmouth College rating

8.7

Company rating: 8.7 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

39th of 532 rated colleges and universities

Job description

Description
We are seeking a highly motivated Research Associate or Research Scientist to join the Philip Hanlon and Gail Gentes Cluster for Personalized Treatments for Cystic Fibrosis (CF Cluster) at Dartmouth
    • Oversight and Development of Research Resources: Oversee husbandry of genetically modified mouse lines that are in conventional or gnotobiotic facilities at Dartmouth and used as models for CF research, help with the importation of additional CF mouse lines to Dartmouth, design breeding and genotyping strategies, coordinate with labs for experimental access to mouse lines and cells.
    • Design and Conduct Experiments: Develop and execute experiments to measure lung function, immune responses and other parameters in response to airway infection in CF mouse lines, ensuring validity and reproducibility.
    • Data Analysis and Interpretation: Analyze experimental data using appropriate statistical and bioinformatics tools and interpret results to draw meaningful conclusions relevant to immunological processes or disease mechanisms.
    • Literature Review and Staying Current: Continuously review scientific literature to stay updated on the latest in cystic fibrosis and immunology research, techniques, and technologies.
    • Develop and Optimize Assays: Develop, validate, and optimize lung function assays such as spirometry and immunological assays such as ELISA, immunofluorescence microscopy and flow cytometry.
    • Collaboration and Communication: Collaborate effectively with multidisciplinary teams including other scientists, and external partners; communicate findings through reports, presentations, and publications.
    • Documentation and Compliance: Maintain accurate and detailed records of experiments, procedures, and results in compliance with institutional, ethical, and regulatory standards.
    • Mentoring and Supervision: Provide guidance and supervision to junior researchers, technicians, and students.
    • Project Management: Plan research activities, manage timelines, and ensure milestones are met within budget.

Earliest Start Date: 7/1/26

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