Research Data Specialist Overview

As a Research Data Specialist, you play a vital role in transforming raw data into actionable insights that drive decision-making across various industries. Your work predominantly involves the management and analysis of data, ensuring its accuracy, accessibility, and relevance.

Key aspects of your role include:

  • Data Collection and Management: You are responsible for gathering data from various sources, organizing it systematically, and maintaining its integrity for future analysis. This often involves working with databases and utilizing data management software.

  • Data Analysis: You analyze complex datasets to identify patterns, trends, and correlations. Your findings help inform research goals and support the development of strategic initiatives.

  • Data Interpretation: You translate technical data analysis into understandable reports or presentations, providing stakeholders with the insights needed to make informed decisions. Your ability to convey technical information clearly is essential for effective communication.

  • Collaboration with Researchers: You work closely with researchers, scientists, and other data professionals. Your role often involves assisting these individuals in their projects by offering expertise in data handling and interpretation.

  • Quality Assurance: Ensuring the quality and accuracy of data is paramount. You implement quality control measures to detect and rectify inconsistencies, safeguarding the reliability of research outcomes.

This career is increasingly important in today’s data-driven landscape, where organizations across various sectors rely on data specialists to harness the full potential of their data. Your role is essential in enhancing the credibility of research findings and supporting evidence-based practices.

Research Data Specialist Salary

Annual Median: $50,510
Hourly Median: $24.29

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education and Training To Become a Research Data Specialist

To become a Research Data Specialist, you will need specific educational qualifications and training that align with the demands of this field. The following programs are highly relevant:

  • Data Science

    • A bachelor’s or master's degree in Data Science prepares you to handle large datasets, analyze data trends, and apply statistical methods. Courses typically include programming, machine learning, and data visualization.

  • Data Analytics

    • Pursuing a degree in Data Analytics involves training in data interpretation and statistical analysis, which are vital for transforming data into actionable insights. This program often covers data mining, predictive analytics, and business intelligence.

  • Data Modeling and Database Administration

    • This program focuses on designing databases and modeling data structures. A degree in this area equips you with the skills to manage and manipulate databases effectively, ensuring data integrity and accessibility.

  • Computational and Applied Mathematics

    • A degree in Computational and Applied Mathematics provides a strong foundation in mathematical modeling and quantitative analysis. This program trains you to solve complex problems and is essential in research settings requiring mathematical rigor.

  • Bioinformatics

    • If you are interested in research within the life sciences, a degree in Bioinformatics merges biology with data analysis. This program emphasizes computational methods to understand biological data, genetics, and genomics.

Consider pursuing internships or relevant projects during your studies to gain practical experience in data research. These educational pathways will equip you with the necessary knowledge and training to excel as a Research Data Specialist.

Best Schools to become a Research Data Specialist in U.S. 2024

#1Salt Lake County

Western Governors University

Salt Lake City, UT

In-State Tuition:$7,404
Out-of-State Tuition:$7,404
Admission Rate:N/A
Graduation Rate:49%
Total Enrollment:156,935
#2Suffolk County

Northeastern University Professional Programs

Boston, MA

In-State Tuition:$45,989
Out-of-State Tuition:$45,989
Admission Rate:N/A
Graduation Rate:N/A
Total Enrollment:8,264
#3Dauphin County

Harrisburg University of Science and Technology

Harrisburg, PA

In-State Tuition:$23,900
Out-of-State Tuition:$23,900
Admission Rate:84%
Graduation Rate:32%
Total Enrollment:3,082
#4Washtenaw County

University of Michigan-Ann Arbor

Ann Arbor, MI

In-State Tuition:$17,454
Out-of-State Tuition:$56,941
Admission Rate:18%
Graduation Rate:93%
Total Enrollment:51,225
#5Montgomery County

Virginia Polytechnic Institute and State University

Blacksburg, VA

In-State Tuition:$12,104
Out-of-State Tuition:$31,754
Admission Rate:57%
Graduation Rate:86%
Total Enrollment:38,170
#6New York County

Columbia University in the City of New York

New York, NY

In-State Tuition:$61,989
Out-of-State Tuition:$61,989
Admission Rate:4%
Graduation Rate:95%
Total Enrollment:34,782
Research Data Specialist Job Description:
  • Compile and compute data according to statistical formulas for use in statistical studies.
  • May perform actuarial computations and compile charts and graphs for use by actuaries.
  • Includes actuarial clerks.

Required Skills and Competencies To Become a Research Data Specialist

  • Data Analysis Expertise: Proficiency in statistical analysis and the ability to interpret complex datasets is essential. Familiarity with statistical software (e.g., R, SAS, SPSS) will enhance your analytical capabilities.

  • Programming Skills: Knowledge of programming languages such as Python or SQL is important for data manipulation, transformation, and automation of data-related tasks.

  • Attention to Detail: A strong eye for detail ensures accuracy in data collection, entry, and analysis. This skill minimizes errors and increases the reliability of your research.

  • Critical Thinking: Developing strong critical thinking abilities allows you to assess data in meaningful ways, make informed decisions, and derive actionable insights from your findings.

  • Data Management: Competence in managing large datasets, including data storage, retrieval, and documentation, is vital. Understanding data governance and best practices for data integrity is necessary.

  • Communication Skills: The ability to convey complex information effectively to both technical and non-technical stakeholders is important. This includes writing reports, creating presentations, and articulating your findings clearly.

  • Collaboration and Teamwork: Working effectively with diverse teams, including researchers, data scientists, and subject matter experts, enhances project outcomes and fosters a productive work environment.

  • Problem-Solving Skills: Strong problem-solving abilities enable you to address challenges efficiently and collaboratively, particularly when dealing with unexpected data issues or research questions.

  • Familiarity with Research Methodologies: Understanding various research design principles and methodologies equips you with the knowledge to apply appropriate techniques in your analyses.

  • Time Management: Balancing multiple projects and deadlines requires proficient time management skills. Prioritizing tasks effectively ensures timely delivery of project goals.

  • Adaptability: The ability to adapt to new tools, technology, and methodologies in a fast-paced field is critical as the landscape of research and data analytics continues to evolve.

  • Ethical Considerations: A solid understanding of ethical issues related to data collection, usage, and privacy safeguards is fundamental in maintaining the integrity of your research work.

Job Duties for Research Data Specialists

  • Check source data to verify completeness and accuracy.

  • Compute and analyze data, using statistical formulas and computers or calculators.

  • Enter data into computers for use in analyses or reports.

Technologies and Skills Used by Research Data Specialists

Analytical or scientific software

  • IBM SPSS Statistics
  • The MathWorks MATLAB

Object or component oriented development software

  • C#
  • R

Presentation software

  • Microsoft PowerPoint

Basic Skills

  • Reading work related information
  • Using math to solve problems

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Current Job Market and Opportunites for a Research Data Specialist

The job market for Research Data Specialists is currently experiencing significant growth due to the increasing reliance on data across various sectors. Here are some key points to consider:

  • High Demand: Organizations in fields such as healthcare, finance, education, and technology are actively seeking Research Data Specialists to manage, analyze, and interpret large datasets. As more companies recognize the value of data-driven decision-making, the demand for professionals who can navigate complex datasets continues to rise.

  • Growth Potential: The U.S. Bureau of Labor Statistics anticipates that the employment of data-related roles, including Research Data Specialists, will grow much faster than the average for all occupations in the coming years. This upward trend is correlated with advancements in data analytics technologies and the increasing need for organizations to utilize data for strategic planning.

  • Geographical Hotspots: Certain regions are particularly strong in demand for Research Data Specialists:

    • Technology Hubs: Areas like Silicon Valley in California and regions around Seattle are home to numerous tech companies, resulting in a heightened demand for data professionals.
    • Healthcare Centers: Cities like Boston and San Diego have a wealth of healthcare organizations and research institutions, making them ideal locations for opportunities in this field.
    • Financial Districts: Major financial centers such as New York City and Chicago require data specialists for risk assessment, portfolio management, and financial modeling.
    • Government and Academia: Washington, D.C., and university towns across the country often have roles available for research data positions, particularly related to public health, social sciences, and policy research.

  • Industry Growth Factors: Several factors contribute to the robust job market for Research Data Specialists:

    • An explosion of big data across industries has driven companies to seek out expert data management and analytical capabilities.
    • The rise of artificial intelligence and machine learning applications has resulted in a need for skilled personnel who can train algorithms and interpret complex outputs.
    • Enhanced regulatory compliance requirements are pushing organizations, especially in finance and healthcare, to improve their data management strategies.

In summary, the landscape for Research Data Specialists is promising. You can expect a range of opportunities across various sectors and regions, influenced by a combination of technological advancements and an organizational shift towards data-centric operations.

Top Related Careers to Research Data Specialist 2024

Statistical Planning Coordinator
Data Analysis Technician
Data Computation Associate
Actuarial Data Analyst

Additional Resources To Help You Become a Research Data Specialist

  • American Statistical Association (ASA)
    Explore resources related to statistics, including publications, conferences, and a community of professionals in the field.
    American Statistical Association

  • National Institute of Health (NIH) - Data Sharing Policies
    Access guidelines and policies on data sharing in health-related research, which can provide insights into best practices for data management.
    NIH Data Sharing Policies

  • Open Data Portal - Data.gov
    Discover a wide array of publicly available datasets across numerous domains provided by the U.S. government, valuable for hands-on experience.
    Data.gov

  • Datanamic
    Offerings include articles and resources focused on data management solutions and strategies relevant to data specialists.
    Datanamic

  • International Association for Social Science Information Services and Technology (IASSIST)
    A professional organization that focuses on data management and sharing, featuring networking opportunities and resources for data specialists.
    IASSIST

  • The Data Incubator
    Provides valuable training and resources for data professionals, including workshops and an online community dedicated to improving data skills.
    The Data Incubator

  • Research Data Alliance (RDA)
    Engages with international efforts to promote data sharing and community best practices with a focus on research data management.
    Research Data Alliance

  • Coursera
    Find online courses related to data analysis, data science, and research techniques offered by various universities that can help boost your skills and knowledge.
    Coursera

  • Khan Academy - Statistics and Probability
    A free resource for honing your understanding of statistics, vital for a career in research data.
    Khan Academy

  • SAS Learning Resources
    Provides a range of tutorials, articles, and certification programs focusing on statistical analysis software often used by data specialists.
    SAS Training

  • Python for Data Analysis by Wes McKinney
    A foundational text for anyone looking to understand data analysis with Python, which is widely used in the research data field.
    Purchase on Amazon

  • R for Data Science by Hadley Wickham
    This book is a practical introduction to data science using R programming language, essential for statistical analysis and visualization.
    Purchase on Amazon

  • Association of Research Libraries (ARL)
    Focuses on the value of data management practices in research libraries, offering tools and discussions relevant to research data specialists.
    ARL

Review these resources to build a solid foundation in research data management and analysis skills that are crucial for your role as a Research Data Specialist.

FAQs About Becoming a Research Data Specialist

  • What does a Research Data Specialist do?
    A Research Data Specialist focuses on managing and analyzing data within research projects. This role involves collecting, processing, and interpreting data, ensuring data integrity, and assisting researchers in making data-driven decisions.

  • What qualifications do I need to become a Research Data Specialist?
    Typically, a bachelor’s degree in a field such as data science, statistics, computer science, or a related discipline is required. Advanced positions may require a master’s degree or specialization in research methodologies and data analysis.

  • What skills are essential for a Research Data Specialist?
    Key skills include:

    • Proficiency in statistical software (e.g., R, SAS, SPSS)
    • Strong analytical and problem-solving abilities
    • Knowledge of data management and data visualization tools
    • Familiarity with programming languages such as Python or SQL
    • Excellent communication skills for presenting data findings

  • What industries employ Research Data Specialists?
    Research Data Specialists are needed in various sectors, including:

    • Academic institutions
    • Government research organizations
    • Healthcare and pharmaceuticals
    • Market research firms
    • Non-profit organizations

  • What types of projects might a Research Data Specialist work on?
    Projects can vary widely, including clinical trials, survey research, social science studies, and market analysis. You may work on data collection strategies, data analysis, and reporting results to stakeholders.

  • Is certification necessary for this role?
    While certification is not always required, obtaining certifications in data analysis or specific software (like SAS or R) can enhance your credentials and improve job prospects.

  • What are the career advancement opportunities for a Research Data Specialist?
    Experienced specialists can progress to senior roles such as Data Manager, Research Scientist, or Data Analyst Lead. Pursuing further education and specialized training can also open doors to higher-level positions in research or data management.

  • How much can I expect to earn as a Research Data Specialist?
    Salaries can vary based on experience, location, and industry. As of 2023, the average salary ranges from $60,000 to $90,000 per year, with senior positions potentially earning more.

  • What are the typical working hours for a Research Data Specialist?
    Most Research Data Specialists work standard office hours, but project deadlines or data analysis phases may require extended hours or the ability to work outside of traditional hours.

  • Are there opportunities for remote work in this field?
    Yes, many positions for Research Data Specialists offer flexibility, including remote or hybrid work models, especially as data analysis tools and collaboration platforms have become more accessible.

  • What is the job outlook for Research Data Specialists?
    The demand for data analysis is projected to continue growing, with particular growth in the healthcare, technology, and academic sectors. This trend suggests a positive job outlook for individuals entering this field.