Senior Data Surveillance Scientist (Seo)

UKHSA’s local Health Protection teams provide a central part of how UKHSA works with partners to deliver its first function to protect the public’s health. They deliver this through a range of core functions including surveillance and monitoring, operational support and advice, education, training and research.

The Senior Data Surveillance Scientist (SDSS) works as part of a dynamic analytical community and supports the regional health protection team (HPT) by providing the health protection intelligence function to delivery of an effective health protection service. As part of that dynamic analytical community, the postholder will work collaboratively with, and may rotate working with the Knowledge and Intelligence (K&I) function of the Health Improvement Directorate, the regional Health Protection function and the National Infection Services Field Services team to jointly enhance services and develop hubs of excellence in analytical services.

The SDSS is responsible for the surveillance systems across specific topic areas, and leads and supports the data collection, validation and production of routine surveillance intelligence in these areas. This includes developing and maintaining effective health surveillance databases, developing and delivery of routine and bespoke reports and supporting the use of HPZone (a national UKHSA web-based incident management system). The SSSHP will analyse and interpret surveillance data and develop automated routines and solutions as well as overseeing and responding to more complex or sensitive data requests. This will be through their application of, and expertise in, analytical, statistical, database, mapping and web tools. They will provide expert advice on information governance and quality and evaluate surveillance systems.

Location

This role will be based in Nottingham.

UKHSA offers hybrid working for its employees - Any opportunities for informal hybrid working, including whether a hybrid working arrangement is suitable, will be discussed with you prior to you taking up your post. This will be determined primarily by business needs and in line with departmental policies for flexible working.

Currently this requires working from an allocated UKHSA base location for 20% of your contracted time as a minimum, increasing to 40% from the beginning of 2023.

*Please be aware that this role can only be worked from within the UK and not overseas. Relocation expenses are not available.*?

Working Pattern - Full Time, Part Time, Job Share, Flexible Working, Hybrid Working.

Person Specification

Essential Criteria:

• First degree (relevant subject) or demonstrable equivalent level of experience of working at a similar level in specialist area (in the maintenance, analysis of data)
• Knowledge / experience in data management and epidemiology for outbreak investigations
• Knowledge of principles and practice of surveillance, including data management, data transmission, data security, data quality, data analysis and interpretation including descriptive statistics and graphics and data reporting
• Demonstrable experience of public health, health protection or epidemiology
• Experience in all aspects of the design, development, implementation and maintenance of systems including understanding of information governance issues
• Awareness of relevant infectious disease epidemiology, and information flows in the NHS and allied services
• Experience of overseeing and ensuring the successful delivery of projects relating to information systems and management
• Ability and skills to develop automated routines, reports and solutions as required
• Proficient in the use of some of the following: spreadsheets, databases, GIS, statistical software (e.g. R, Stata, SAS, SPSS) Experience of maintaining code using R or an alternative statistical package
• Ability to apply a range of common statistical tests and algorithms including time trend analysis and an understanding of exceedance
• Able to build and maintain effective relationships with co-workers and key stakeholders
• Excellent accuracy and attention to detail with proven report writing & presentation skills
• Good organizational, prioritisation and time management skills
• An understanding of and commitment to equality of opportunity and good working relationships, both in terms of day-to-day working practices, and in relation to management systems

Desirable Criteria:

• Experience of research activities including statistical analyses & peer reviewed publication
• Knowledge and experience of common statistical tests and modelling, including time trend analysis, survival analysis, regression, logistic regression, and perform multivariable analysis
• Experience in utilising Power BI

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