Person specification Flashcards
Essential skills and experience
- A good understanding of health-related research methods and study designs
- Experience of undertaking analyses using large complex datasets in a statistical package
- Contributions to written output, preferably peer-reviewed
- Experience of applying information governance principles to health care data
- Strong statistical analysis skills, including multivariable regression analyses.
Desirable experience and skills
- Knowledge of data protection and information security principles
- Experience of managing relational databases and using SQL
- Experience of writing applications to access healthcare datasets
- Experience of working within multidisciplinary teams
- Understanding of advanced statistical techniques such as missing data methods, risk model development, and multilevel modelling
- Data visualisation skills
Essential people and interpersonal skills
- Proven ability to communicate statistical concepts and results to non-statisticians
- Good organisational skills, including an ability to prioritise work to meet deadlines and work on various tasks simultaneously
A good understanding of health-related research methods and study designs
- Global health year at Imperial School of Public Health
- Masters
Experience of undertaking analyses using large complex datasets in a statistical package
Contributions to written output, preferably peer-reviewed
- BSc project report which then was the basis for a publication in the peer-reviewed journal, BMJ Open
- MSc project report, detailed
- ASME data analysis report, clear, concise, distinction
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Experience of applying information governance principles to health care data
Strong statistical analysis skills, including multivariable regression analyses.
Knowledge of data protection and information security principles
Experience of managing relational databases and using SQL
Experience of writing applications to access healthcare datasets
Experience of working within multidisciplinary teams
- CHC
Understanding of advanced statistical techniques such as missing data methods, risk model development, and multilevel modelling
Data visualisation skills
- Tableau
- Spatial epidemiology module - maps
Proven ability to communicate statistical concepts and results to non-statisticians