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Senior Research Scientist

Harnham - Data & Analytics Recruitment
Posted 19 days ago, valid for 8 days
Location

Manchester, Greater Manchester M17 1DJ, England

Salary

£45,000 - £54,000 per annum

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Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • The position is for a Senior Research Scientist, available remotely in the UK, with a salary of up to £75,000.
  • The role involves leading data analytics strategies and performing high-quality statistical analysis on healthcare data.
  • Candidates should have experience in family planning and sexual reproductive health, ideally from a Data Science Research perspective.
  • A strong understanding of statistical concepts and proficiency in R or Python is required, along with basic cloud computing knowledge.
  • To apply, interested individuals should send their CV to Daniel Abbasi via the provided application link.

Senior Research Scientist

Remote (UK only)

Up to £75,000

As a Senior Research Scientist, you will be joining a project that has lots of investment and funding, looking specifically at advanced analysis of survey and family planning healthcare data in low an middle income countries.

The Role

  • Deliver and lead data analytics strategies, data processing and analytical pipelines to transform raw data into client deliverables.
  • Perform high-quality statistical analysis providing insights and visualisations.
  • Lead design of new instruments to help pioneer research.

Skills & Experience

  • Experience in family planning, sexual reproductive health behaviour and contraception - ideally from a Data Science Research perspective.
  • Experience in statistical concepts such as confounding, linear/logistic regression, uncertainty and survey statistics.
  • Passion for improving healthcare, health behaviors and patient outcomes.
  • Fluency in R or Python and basic cloud computing knowledge.

How to Apply

Register your interest by sending your CV to Daniel Abbasi via the apply link on this page.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.