Research Consultant, Social Sciences: Stats & Methods

Research Consultant, Social Sciences: Stats & Methods

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Guide social science researchers on research design and statistical analysis.
  • Company: Sciencescholar, a leader in social science research support.
  • Benefits: Flexible hours, competitive pay, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to advancing social science research.
  • Why this job: Make a real difference in social science research with your expertise.
  • Qualifications: Strong background in research methods and experience with SPSS or R.

The predicted salary is between 30000 - 40000 Β£ per year.

Sciencescholar is seeking a Research Consultant in the Social Sciences. You will provide expert guidance on research design, methodology, and statistical analysis to social science researchers in the United Kingdom. This role emphasizes rigorous methods and the interpretation of data using SPSS or R.

The ideal candidate will have a strong background in research methods, statistics, and hands-on experience with statistical software to support researchers across various social science projects.

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Research Consultant, Social Sciences: Stats & Methods employer: Sciencescholar

At Sciencescholar, we pride ourselves on fostering a collaborative and innovative work environment that empowers our employees to excel in their fields. As a Research Consultant in the Social Sciences, you will benefit from continuous professional development opportunities, a supportive team culture, and the chance to make a meaningful impact on research projects across the UK. Our commitment to excellence and employee well-being makes us an exceptional employer for those passionate about advancing social science research.

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Contact Details:

Sciencescholar Recruitment Team

We think you need these skills to ace Research Consultant, Social Sciences: Stats & Methods

Research Design
Methodology
Statistical Analysis
SPSS
R
Data Interpretation
Research Methods