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
Familiarity or proficiency with programmable data analysis software R or Python
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
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

Benefits

Health insurance
Paid time off
Flexible work arrangements
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data analysisstatistical probability distributionsbiaserrorpowersampling methodsresampling methodsexperimental designexploratory data analysishypothesis testing

Soft skills

communication skillsattention to detailtime managementinitiativeindependent research