From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.

Finance & Research Administrator

The role will specialise in administering the financial activities of the Department of Statistical Science, ensuring effective procedures are documented and adopted for dealing with all aspects including processing financial transactions, procurement and grant applications. The post holder will lead in achieving a high quality and timely service for staff, students and others internal and external to the department.

The role will include management of all matters relating to the Oracle Financial Information System (MyFinance). The post holder will provide financial information and reports for the Departmental Manager, Head of Department and principal investigators to monitor expenditure. They will be responsible for preparing grant costings, monitoring grants, budgets, expenditure enquiries and arrange reimbursement of expenditure to staff and students.

The post holder must be educated to A Level standard (minimum of 2 at grade C or above), or equivalent, or have acquired relevant vocational training in Finance or Accountancy. Knowledge of financial processes and regulations associated with general financial administration is required, along with a commitment to customer focus and the need to provide an efficient, professional and effective service to the many users and contacts both internally at all levels of the organisation and externally. It is also essential that the person appointed has a high level of proficiency with standard office software including online financial systems, experience of generating financial costings for research grant applications and an ability to work under pressure whilst maintaining close attention to detail and accuracy.

The post is open-ended and is available immediately.

Closing date: 29 January 2017

Research Associate in Medical Statistics

This is an exciting opportunity for a motivated Medical Statistician to join the Biostatistics Group based at the Department of Statistical Science and the Joint Research Office (JRO) of the UCLH/UCL Biomedical Research Centre. The post holder will be based in the Department of Statistical Science, will work closely with the JRO and the UCL PRIMENT Clinical Trials Unit and will be accountable to Professor Rumana Omar (Head, Biostatistics Group). Health Research in UCL, UCLH and the Royal Free Hospital provides an exciting and dynamic environment and an excellent opportunity for the right applicant to develop a career as a Medical Statistician.

Candidates should possess either a PhD in Statistics/ Medical Statistics or both an MSc in Statistics/ Medical Statistics and research experience that is equivalent to a PhD qualification. It is essential that the successful candidate has experience of working as a statistician in a health research environment, previous involvement in clinical trials and/ or observational studies in health research and strong organisational and communication skills.

This post is available immediately and is funded for three years in the first instance.

Closing date: 3 February 2017

Research Associate in Statistics for the Analysis of Time-Varying Networks

The post holder will be expected to conduct research in Statistics related to the ERC funded project: "Networks in Time and Space (NETS)". Led by Professor Sofia Olhede, the project is focussed on developing statistical theory and methodology for modeling and estimating networks observed over time and in space. Networks are strongly non-Euclidean data, which require significant statistical innovations to analyse. The project will take inspiration from results in high dimensional data analysis and graph theory, and connect developments to applied problems in neuroscience and ecology.

Candidates should hold or be close to submitting a PhD (or equivalent qualification) in Statistics, or a closely related field. It is essential that the successful candidate has experience in the use and development of theory and/or methodology for networks or high dimensional data, programming skills in R or Matlab, an interest in data analysis and excellent communication skills. 

The post is available immediately and is funded for 2 years in the first instance. Further funding may be available.

Closing date: 16 February 2017

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