• Critically analyze large health datasets using standard and bespoke software libraries
• Discuss your findings and progress with internal and external stakeholders
• Produce high quality reports which summarise your findings
• Contribute to research activities as we explore novel and established sources of re-identification risk

Requirements

Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports
A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods
Seeks to understand real-world data in context rather than consider it in abstraction.
Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language
Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions
Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines
Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub’s knowledge base
An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation
Familiarity with Amazon Web Services cloud-based storage and computing facilities

🔍 ATS Optimization Keywords
Below are skills and terms extracted directly from this job posting to improve Applicant Tracking System (ATS) visibility. This unique feature helps candidates tailor their applications more effectively — a feature exclusive to JobTailor job listings.

Hard Skills

data analysis
statistical probability distributions
bias
error
power
sampling methods
resampling methods
experimental design
exploratory data analysis
hypothesis testing

Soft Skills

communication skills
attention to detail
time management
initiative
independent research
ability to prioritize work

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