Staff Vacancies

 

Postdoctoral Statistical Epidemiologist - Malaria Atlas Project

Salary: Grade 7: 29,837 - 36,661 with a discretionary range to 40,046 p.a.

The Postdoctoral Statistical Epidemiologist - Malaria Atlas Project will be a member of a large research group undertaking statistical and mechanistic modelling and interpretation of malariometric data, and will be responsible for a discrete area within the wider research programme. This is a 2 year fixed-term post based at the Department of Zoology, University of Oxford.

The main responsibilities and duties are helping to shape the research group’s plans and the writing group-funding applications for new research projects; contributing to scientific decision-making processes within the project; undertaking a review of modelling approaches; using cutting edge approaches to lead the development of key components of a space-time modelling infrastructure to describe and investigate patterns of changing malaria transmission; to develop the software infrastructure and documentation required to support appropriate computational modelling; publish and present research findings, carry out collaborative projects including travel to meet colleagues.

Candidates must have a first or upper second class Bachelor degree and a PhD in mathematics, statistics, epidemiology or equivalent quantitative discipline, as well as expertise in statistical modelling, demonstrable competence in computer programming for statistical modelling, a proven ability to meet defined research milestones on time, a competitive publication record for career stage and evidence of project planning, organisational and communication skills.

The interview will include a 30 min programming skills test. The candidate will join a large and dynamic group under the supervision of Dr Peter Gething. Funding is available to support training, collaborative visits and conference attendance.

Only applications received online before 12.00 midday on 21 May 2014 will be considered. You will be required to upload a CV and supporting statement.

  • Apply now (Closing date: Noon, 21 May 2014)
 

Research Assistant - Malaria Atlas Project

Salary: Grade 6: 26,527 - 31,644 with a discretionary range to 34,565 p.a.

The Department of Zoology at the University of Oxford is looking for a Research Assistant to contribute to making the outputs of mathematical models estimating disease risk (and other factors) available to public health bodies worldwide. This is a fixed-term post for 2 years.

The main responsibilities will be updating and maintenance of a bespoke malaria database; obtaining data from a range of sources including published articles, personal contacts and direct from public health agencies; clean up incoming data so it is checked and standardised for use in the group’s mathematical models (including geopositioning data); select, follow and adapt data extraction and manipulation protocols; support the group’s programme of data dissemination, and contribute to scientific reports and manuscripts for publication while maintaining the confidentiality of unpublished research data.

Candidates must have a first class or upper second class undergraduate degree and experience in a relevant scientific subject; strong data manipulation skills, proficiency in data extraction and database use; evidence of proficiency in scientific writing, as well as the ability to take advice and constructive criticism and a responsible nature with clear evidence for strong skills in decision-making, problem-solving, planning and organising. The interview will include a 30 min data handling test. The candidate will join a large and dynamic group under the supervision of Professor Simon Hay. Funding is available to support training and conference attendance.

Only applications received online before 12.00 midday on 21 May 2014 will be considered. You are required to upload a CV and supporting statement.

  • Apply now (Closing date: Noon, 21 May 2014)
 

Senior Postdoctoral Modeller - Malaria Atlas Project

Salary: Grade 8: 37,756 - 45,053 with a discretionary range to 49,216 p.a.

The Senior Postdoctoral Modeller: Malaria Atlas Project will be a senior member of a large research group undertaking statistical and mechanistic modelling and interpretation of malariometric data. This is a 2 year fixed-term post based at the Department of Zoology, University of Oxford.

The main responsibilities are helping to shape the research group’s plans and writing group-funding applications; contributing to scientific decision-making processes and taking an active role in the management of project deliverables; undertaking a review of candidate modelling approaches; using appropriate cutting edge approaches to lead the development of key components of a space-time modelling infrastructure to describe and investigate patterns of changing malaria transmission; establishing software infrastructure and required documentation; represent the research group at external meetings/seminars; lead in the publication and presentation of research findings, carry out collaborative projects including travel to meet colleagues; coach and organising other members of the team.

Candidates must have a first or upper second class Bachelor degree and a PhD in mathematics, statistics, epidemiology or equivalent quantitative discipline, extensive expertise in statistical modelling, demonstrable competence in computer programming for statistical modelling, a proven ability to manage research projects, a very competitive publication record, evidence of organisational and communication skills and experience of leading postdoctoral research.

The interview will include a 30 min programming skills test. The candidate will join a large and dynamic group under the supervision of Dr Peter Gething. Funding is available to support training, collaborative visits and conference attendance.

Only applications received online before 12.00 midday on 21 May 2014 will be considered. You will be required to upload a CV and supporting statement.

  • Apply now (Closing date: Noon, 21 May 2014)
 

Senior Computional Statistician: Spatial Models

Salary: Grade 7: 29,837 - 36,661 with a discretionary range to 40,046 p.a.

The Department of Zoology at the University of Oxford is looking for an experienced statistical modeller with skills in conceiving, implementing, and testing bespoke spatial statistical models on a 2 year fixed-term contract.

You should be fluent in an appropriate programming language and comfortable with the development of new computational algorithms. Your main responsibilities will be to undertake a review of candidate modelling approaches and decide on an optimal avenue for development; lead the development of a spatial modelling architecture that allows formal estimation of P. vivax disease burden drawing inference from both polygon-based case reporting data and pixel-based prevalence estimates; oversee the software infrastructure and documentation required to support appropriate computational modelling, including software library installation and updating, version control, and backup , and participate in the publication and dissemination of research findings.

Candidates must have a first or upper second class Bachelor degree or equivalent and a PhD or equivalent professional experience in a relevant discipline (e.g. statistical modelling, epidemiology, geocomputation), as well as demonstrable competence in computer programming for statistical modelling, working in coding teams and project planning and organising skills. The interview will include a 30 min programming skills test. The candidate will join a large and dynamic group under the supervision of Professor Simon Hay. Funding is available to support training, collaborative visits and conference attendance.

Only applications made online by 12.00 midday on 28 May 2014 will be considered. You will be required to upload a CV and supporting statement.

  • Apply now (Closing date: Noon, 28 May 2014)

Other vacancies

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Athena Swan Silver Award

In 2010 the Department was given an Athena Swan Silver Award in recognition of its success at promoting the careers of women.