Data Science Research Analyst

1 month ago


Liverpool, Liverpool, United Kingdom Uag Full time

Are you passionate about improving public health and reducing health inequalities? We are seeking a highly skilled Data Science Research Analyst to join our dynamic research group, The Health Inequalities Policy Research Group (HIPR).

About Us

The University of Liverpool is a world-renowned institution dedicated to enhancing workforce diversity. Our vision is to improve health and reduce inequalities through cutting-edge research and innovative solutions.

Job Summary

We are looking for a talented Data Science Research Analyst to support the development and implementation of our research programme. You will work with practitioners and policy makers to apply advanced quantitative methods and data analysis techniques to answer complex policy and healthcare questions.

Your Role

  • Analyze large complex secondary datasets to identify trends and patterns that inform policy decisions
  • Collaborate with researchers and stakeholders to design and implement research studies
  • Develop and maintain databases and data visualizations to communicate findings effectively
  • Work with the Civic Health Innovation Labs Data Action Research Team to leverage whole population linked civic data to drive positive change in public health

Requirements

  • Postgraduate degree (MD or PhD) or equivalent research experience in a related area, such as applied public health research, epidemiology, economics, geography, data science, sociology, or applied statistics
  • Experience with programming languages, statistical packages, and data visualization tools
  • Strong analytical and problem-solving skills, with attention to detail and ability to meet deadlines

What We Offer

We offer a competitive salary of £45,000-£55,000 per annum, depending on experience, and a benefits package that includes a generous pension scheme, flexible working hours, and access to professional development opportunities.

How to Apply

If you are a motivated and results-driven individual with a passion for data science and public health, please submit your application, including your CV and a cover letter outlining your experience and qualifications.



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