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Vacancies

Funded PhD Studentship – Epidemiology / Medical Statistics (stipend included)

Funded PhD Studentship – Epidemiology / Medical Statistics

3 years - Stipend £16,383 per annum excluding London Allowance

Vacancy information

UCL Research Department of Infection and Population Health is seeking applications from candidates for a 3 year funded PhD Studentship in epidemiology / medical statistics commencing in Spring 2014, to be based at the Royal Free site within the HIV Epidemiology and Biostatistics Group.

Studentship Details

The studentship will involve an epidemiological analysis of data from the Icona Foundation Study (http://www.fondazioneicona.org/_new/pages/presentationFolder/). It is a purely a data analysis project which will not involve collecting new data or similar activities. The database contains information on over 10,000 HIV-positive individuals enrolled after April 1, 1997 and up to present by 71 clinical sites operating throughout Italy and coordinated by 6 University Centres. The only eligibility criterion for participants was that they must never have taken antiretroviral medication. Icona is the biggest Italian cohort of HIV-positive persons enrolled when “naïve” to antiretroviral therapy.

The Icona Foundation Database contains comprehensive information on many aspects of HIV care and treatment for all HIV outpatients seen at 71 clinical sites in Italy, including demographic information, details of antiretroviral treatment, laboratory tests and major morbidity and mortality. Previous and ongoing projects address questions concerning HIV prognosis and management; in particular the use and effects of current treatment, development of toxicities, and trends over time in morbidity, mortality and treatment response. The database is likely to be expanded to additionally collect people co-infected with both HIV and HCV viruses who are naïve to new generation HCV treatment even if they have previously receive antivirals to treat their HIV infection.

Together with the supervisors, the student will develop a PhD project on the following main themes:

Study of hepatitis co-infections

This area is of particular interest as, recently, new treatments for HCV are becoming available leading to eradication of the virus in a substantial proportion of cases. The study of hepatitis co-infection in the cohort could identify the prevalence and the yearly incidence of newly acquired hepatitis co-infection according to different exposure factors (e.g. sex, mode of transmission, age); moreover the outcome of liver disease could be monitored and evaluated according to HIV-related (immunosuppression, markers of immune activation and inflammation, HIV replication), HCV-related (genotype, HCV viral load, liver disease at baseline) factors and therapy (anti-HIV and anti-HCV drugs). Of particular interest will be the impact of newly licenced anti-HCV direct antiviral agents (DAAs) on HCV eradication and chronic liver disease outcome in both anti-HCV treatment-naïve patients and those previously treated with IFN and ribavirin.

Study of non-infectious co-morbidities

The proposal is to estimate the frequency of occurrence of cancer and cardiovascular diseases in the cohort and to identify possible factors predictive of such events. In particular, the purpose is to study the incidence of newly diagnosed non-AIDS defining cancers in relation to traditional and HIV-related and ART-related risk factors. Cancers will be grouped according to their aetiology (viral vs. non-viral). The study on cardiovascular disease is aimed to evaluate the incidence of cardio- and cerebro-vascular disease, and to relate these events to different risk factors. Further, biological studies analysing different immunological and platelets-related patterns are planned.

The student will have the opportunity to develop and write up a number of papers for publication based on the analyses undertaken, and also will be expected to undertake data management tasks that contribute to papers produced by other members of the research team.

The Research Department of Infection and Population Health (http://www.ucl.ac.uk/iph/)

The Research Department of Infection and Population Health (Head of Department: Dr Richard Gilson), within the Institute of Epidemiology and Health Care (Institute Director: Prof Andrew Steptoe) conducts population-based research related to infections. It contains research staff from a wide range of disciplines, including biostatisticians, epidemiologists, psychologists, sociologists, anthropologists and public health physicians. The department has around 80 staff and currently about 35 PhD students. The Department consists of four distinct research groups [‘HIV Epidemiology and Biostatistics Group’; ‘Health Psychology and Social Sciences Group’; ‘Centre for Infectious Disease Epidemiology’; ‘Centre for Sexual Health and HIV Research’], and is split across the Royal Free and Mortimer Market sites. The post-holder will be working within the ‘HIV Epidemiology and Biostatistics Group’ (co-led by Professors Andrew Phillips and Caroline Sabin) at the Royal Free site.

Supervisory Team

The Supervisory team will include: Dr Alessandro Cozzi-Lepri (Senior Lecturer in Biostatistics/Epidemiology), Dr Fiona Lampe (Senior Lecturer in Epidemiology and Medical Statistics), Professor Antonella d’Arminio Monforte (clinical lead for Icona Foundation Study and S. Paolo Hospital, Milan, Italy), Professor Andrea Antinori and Dr Massimo Puoti (clinical leads or two of the largest clinical sites participating in Icona).

Person Specification

Applicants should hold a first or upper second class honours degree in a relevant subject (mathematics, statistics, or epidemiology) and an MSc in a relevant subject (medical statistics, epidemiology or related discipline). Excellent skills in quantitative research methodology, statistical methods, analysis of large and complex datasets, data management, and the use of statistical software are all essential. Although there is flexibility with regard to which statistical package is used for analyses, a large part of data management will use SAS, and so knowledge of or willingness to learn this package is essential. Applicants should also have excellent oral and written communication skills.

Eligibility

Due to funding restrictions, applicants must be UK/EU nationals and must have been resident in the UK for three years immediately prior to starting a PhD to be eligible.

Application

Please submit a CV including full details of all University courses and grades to date; contact details of two academic or professional referees and a personal statement (750 words maximum) outlining your suitability for the project, what you hope to achieve from the PhD. and your research experience to date.

Any enquiries relating to the project and/or suitability should be directed to Dr A Cozzi-Lepri (a.cozzi-lepri@ucl.ac.uk) or Dr Fiona Lampe (f.lampe@ucl.ac.uk).

Electronic Applications should be sent to:

Dr Alessandro Cozzi-Lepri

Research Department of Infection & Population Health UCL, Royal Free Hospital 1st floor Medical School Building Rowland Hill Street London NW3 2PF UK

(email: a.cozzi-lepri@ucl.ac.uk)

Closing date: 28th February 2014

Research Associate (mat leave cover)

Research Associate - Ref:1388157 

UCL Department / Division                      Institute of Child Health

Specific unit / Sub department               Centre for Paediatric Epidemiology and Biostatistics

Grade                                                          7

Hours                                                          Part Time

Hours per week (%FTE)                           18.25 hours per week (50% FTE)

Salary (inclusive of London allowance)  £32,375 - £39,132 per annum, depending on skills and experience

Salary pro-rata for part time vacancies

Duties and Responsibilities

We wish to recruit a Research Associate to cover an initial period of 12 months maternity leave, working on the Life Study Infection and Immunity Enhancement.

This post is for the pilot phase of the enhancement. The aim of the pilot study is to develop and test the methodology and infrastructure needed to deliver the sample collection in the main phase of Life Study, and assess acceptability to participants. 

This post provides a unique opportunity to join the infection and immunity multi-disciplinary research team and contribute to developing and planning Life Study from the very early stages to support this novel programme of work on infection and immunity.  

Key Requirements

Applicants must have a good first degree in a relevant area plus an MSc in epidemiology, public health or related subject. Preferably they will have a PhD in a related area. They should have excellent interpersonal, written, numeracy and communication skills, the ability to work as part of a multidisciplinary team, be able to work independently and to tight deadlines. Previous experience of health related research is essential and experience of working on large scale research studies is desirable. 

Further Details

A job description and person specification can be accessed at the UCL vacancy pages using the reference number above.

To apply for the vacancy please go to the UCL vacancy pages, and search using the reference number above. 

If you have any queries regarding the vacancy please contact Dr Claire Townsend, c.townsend@ucl.ac.uk; 020 7905 2308; or Dr Nigel Field, nigel.field@ucl.ac.uk; 020 3108 2092.

For further information please contact ICH HR on ICH.HR@ucl.ac.uk quoting reference number 1388157.

UCL Taking Action for Equality

Closing Date                                              2 Jan 2014

Any offer of employment will be subject to a Disclosure and Barring Service (DBS) check.

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. 

Research Assistant in Statistics

Research Assistant in Statistics – Training Fellowship - Ref:1389148 

UCL Department / Division                                Infection and Population Health

Grade                                                                   6

Hours                                                                   Full Time

Salary (inclusive of London allowance)            £28,338 - £29,881 per annum

Duties and Responsibilities

Applications are invited for a training fellowship position as a Research Assistant in statistics to work in the Centre for Infectious Disease Epidemiology within the Department of Infection and Population Health. The aim of the Department is to reduce the population impacts of infection, and to promote individual health by means of the prevention and treatment of communicable and non-communicable disease.

This prestigious fellowship provides an excellent opportunity for those interested in developing a career in medical statistics who wish to acquire experience and develop practical skills in the field of population health and cohort analyses. The post-holder will receive high-quality, structured training in medical statistics and health-related research and research methods generally, within a supportive and dynamic research environment in order to develop as a well-rounded, health research focused statistician. The post-holder will conduct analyses on the Flu watch Study, an internationally unique cohort investigating the epidemiology and immunology of seasonal and pandemic influenza on a community level.

The fellowship includes funding for tuition costs (up to £4,500) for a suitable MSc course (unless the post-holder already holds a suitable MSc qualification) or short courses. It also provides up to £1000 per annum for research costs.

This full-time position is funded for 2 years in the first instance, however, working on a part time basis can be considered for 0.6 FTE. If the appointment is made on a part-time basis, the funding period will be extended by a further year (3 years total) in the first instance.

Key Requirements

Applicants should have an Honours (2:1 or above) undergraduate degree (or an equivalent non-UK degree) in mathematics or statistics, or in a related discipline containing a substantial mathematical or statistical component. Applicants would also preferably have (or are currently studying for) an MSc in Medical Statistics or a related discipline containing a substantial advanced statistical component. 

They will need to have demonstrable experience in statistical analysis (preferably using STATA) and an ability to effectively communicate complex statistical concepts and methods to non-statisticians. A careful and systematic approach to checking data, reviewing statistical analyses, and administrative tasks is essential, while knowledge of cohort methodology, basic infectious disease epidemiology and familiarity with the management and analysis of large, complex datasets is desirable.

Further Details

A job description and person specification can be accessed at the UCL vacancy pages. Search by using the reference number above.

To apply for the vacancy please go to the UCL vacancy pages and quote the reference number above.

If you have any queries regarding the vacancy or the application process, please contact Dr Andrew Hayward, a.hayward@ucl.ac.uk, 020 7472 6777.

UCL Taking Action for Equality

Closing Date                                                        13 Jan 2014

Latest time for the submission of applications         23:00

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Research Assistant (Statistician)

Research Assistant (Statistician) - Ref:1389313 

UCL Department / Division                                Infection and Population Health

Specific unit / Sub department                        HIV Epidemiology and Biostatistics Group

Grade                                                                   6

Hours                                                                   Full Time

Salary (inclusive of London allowance)           £28,338 to £29,881 per annum

Duties and Responsibilities

A position for a Research Assistant is available within the HIV Epidemiology and Biostatistics Group within the Department of Infection and Population Health, University College London. The post-holder will be based in the Royal Free Hospital, and will be involved in the design and analysis of observational studies of HIV.

The post is funded until 28 Feb 2017 in the first instance.

Key Requirements

The applicant will have a good first degree in mathematics or statistics, an MSc, some knowledge of the statistical package SAS (or a willingness to use this package) and a demonstrated interest in HIV. The ability to communicate statistical concepts effectively to those with only minimal statistical knowledge, and ability to write reports for a non-technical readerships is also essential.

Further Details

A job description and person specification can be accessed at the UCL vacancy pages. Search using the reference number above.

To apply for the vacancy please go to the UCL vacancy pages. Search using the reference number above.

If you have any queries regarding the application process, please contact Beth Jackson, b.jackson@ucl.ac.uk.

For informal queries regarding the vacancy, please contact Caroline Sabin (c.sabin@ucl.ac.uk).

UCL Taking Action for Equality

Closing Date                                                        27 Jan 2014

Latest time for the submission of applications         23:00

Interview date                                                    7 Feb 2014

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.  Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL.

Research Associate (Statistician/Modeller)

Research Associate (Statistician/Modeller) - Ref:1389322 

UCL Department / Division                                Infection and Population Health

Specific unit / Sub department                        HIV Epidemiology and Biostatistics Group

Grade                                                                   7

Hours                                                                   Part Time

Hours per week (%FTE)                                    18.25 hours per week (50% FTE)

Salary (inclusive of London allowance)           £32,375 - £39,132 per annum

Salary pro-rata for part time vacancies

Duties and Responsibilities

A position for a Research Associate is available within the HIV Epidemiology and Biostatistics Group within the Department of Infection and Population Health, University College London. The postholder will be based in the Royal Free Hospital, and will be involved in simulation modelling and analysis of data from large observational studies of HIV.

The post is funded until 31 Jan 2016 in the first instance.

Key Requirements

The applicant will have a PhD, experience in management, analysis and interpretation of data from large observational studies, a documented extensive existing research interest in HIV, and experience of leading own research projects and supporting others, from design to publication. Some experience with individual level simulation modelling would be an advantage.

Further Details

A job description and person specification can be accessed at the UCL vacancy webpages. Search using the reference number above.

To apply for the vacancy please go to the UCL vacancy webpages. Search using the reference number above.

If you have any queries regarding the application process, please contact Beth Jackson, b.jackson@ucl.ac.uk.

For informal queries regarding the vacancy, please contact Andrew Phillips (andrew.phillips@ucl.ac.uk).

UCL Taking Action for Equality

Closing Date                                                        6 Jan 2014

Latest time for the submission of applications         23:00

Interview date                                                    Wednesday 15 Jan 2014

This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

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