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
Benefits
We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive.
We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.
At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.
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 researchability to prioritize work