Current Vacancies

 

Research Associate (Research Statistician) - Fixed Term
Salary: £28,982-£37,768
Reference: SL10195
Category: Research
Closing date: 2nd October 2016

More details / Apply

 

This is an exciting opportunity for an ambitious Research Statistician to work with Professor Sylvia Richardson, Director, and Dr Brian Tom, Programme Leader, to carry out cutting edge statistical methodology research that will be applied to substantive medical problems in different disease areas, notably dementias. You will join the internationally-renowned MRC Biostatistics Unit and teams that have strong focus on Bayesian hierarchical modelling, statistical genomics, stratified medicine and longitudinal data modelling.

As part of its involvement in Dementias Platform UK (DPUK), the Unit is seeking to appoint a research statistician in Biostatistics who will develop and apply state-of-the-art risk stratification and integrative/hierarchical modelling methodologies to data arising from Dementias Platform UK cohorts, and more generally, in order to better understand sources of heterogeneity in diseases such as the dementias.

You will have a PhD in statistics, a strong statistical computing and programming background, and have solid experience in Bayesian modelling, in the statistical analysis of longitudinal and event history data and/or in the integration and modelling of data of different types and complexities, including from high-dimensional genetic, genomic or imaging modalities. You must have good communication skills and be able to contribute substantially to the writing of scientific papers.

The position will cut across the research programmes of Professor Richardson and Dr Tom on "Statistical Genomics and the Analysis of High Dimensional Data" and "Statistics for Stratified Medicine and Analysis of Complex Phenotypes". The post holder will also work closely with other members of their team and with other teams within the Unit.

The MRC Biostatistics Unit aims to advance medical science by the development, application and dissemination of statistical methods. It is one of Europe's leading biostatistics research institutions and includes many internationally renowned statisticians. It provides a privileged environment for conducting research within the Cambridge biomedical environment.

For an informal discussion about this post please contact brian.tom@mrc-bsu.cam.ac.uk

Fixed-term: The funds for this post are available for 3 years in the first instance.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

The closing date for applications is Sunday 2nd October 2016.

Interviews are likely to take place on the week commencing Monday 14th November 2016.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SL10195 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

For further information and to apply online, please go to: http://www.jobs.cam.ac.uk/job/11544/

 

Career Development Fellow  - Fixed Term
Salary: £28,982-£37,768
Reference: SL10194
Category: Research
Closing date: 19th October 2016

More details / Apply

 

The MRC Biostatistics Unit (http://www.mrc-bsu.cam.ac.uk), located in Cambridge, undertakes research on statistical methods and their application to the design, analysis and interpretation of biomedical studies, to advance understanding of the cause, natural history and treatment of disease, and to evaluate public health strategies. An opportunity has arisen for a talented statistician with an interest in methodology development to work with Dr Paul Newcombe as part of the `Statistical-genomics' working group. The broad aims of the group are to develop statistical methods for the analysis of genomic data to improve understanding of common diseases and disease traits in humans.

Mendelian randomisation provides a framework for exploring causal relationships in observational datasets by using genetic variants as proxies, or "instruments", to assess the impact of intervening on the exposure of interest. This project will focus on developing statistical methodology to exploit the increasing wealth of publically available genetic summarized data into Mendelian Randomization studies. The project was jointly conceived with Dr Stephen Burgess (University of Cambridge) and Dr Jack Bowden (University of Bristol) from whom the post-holder will receive additional guidance and co-supervision. Funds are available for regular (semi-annual) visits to Bristol to connect with both methodological and applied researchers in Bristol's Integrative Epidemiology Unit.

Methods will be developed and tested using a range of real life datasets to explore causal drivers of cancer incidence, Alzheimer's disease and type 2 diabetes in collaboration with researchers at the MRC Epidemiology unit, where the post-holder will be given 'visiting researcher' status. This post offers an exciting opportunity to work alongside and build collaborative relationships with a range of world-leading researchers, while addressing cutting-edge research questions in rich and real datasets. There will be opportunities to lead projects as well as publish papers as a first author in high quality peer-reviewed journals.

By the time they take up the appointment, the successful applicant will have a PhD in a strongly quantitative subject, ideally statistics. Experience of Bayesian methodology and, in particular, approaches to variable selection/sparse regression would be desirable. An understanding of genomics and/or causal inference would be advantageous but not essential; full training will be given on the basic concepts necessary to the project. In particular, no prior knowledge of genetics is required. Most important are an inquisitive mind and the desire to develop and apply statistical methodology to questions of substantive biological importance and disease relevance. The successful applicant will be supported in their career development with a range of formal courses and on-the-job training.

For an informal discussion about this post please contact paul.newcombe@mrc-bsu.cam.ac.uk

Fixed-term: This is a 3-year training programme.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

The closing date for applications is Wednesday 19th October 2016.

Interviews are likely to take place on Monday 7th November 2016.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SL10194 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

For further information and to apply online, please go to: http://www.jobs.cam.ac.uk/job/11543/

 

Research Associate - Fixed Term
Salary: £28,982-£37,768
Reference: SL10197
Category: Research
Closing date: 19th October 2016

More details / Apply

 

An exciting opportunity has arisen to work on a Medical Research Council (MRC) funded grant in the MRC Biostatistics Unit (BSU).

The MRC BSU is one of Europe's leading biostatistics research institutions. Working with Dr James Wason within the 'Design and Analysis of Randomised Trials' theme, you will develop methodology relevant to the MRC/NIHR-funded grant "Developing efficient perpetual platform trials to study multiple treatments and multiple biomarkers". In addition to methodology development, you will publish papers in high quality peer-reviewed journals, disseminate your work at statistical and clinical conferences, and make open-source software available that implements the methodology you develop.

There will be opportunities and funding to work with grant co-investigators at several UK universities and the MD Anderson Cancer Centre in Houston, Texas.

You will have, or be about to obtain, a PhD in statistics or related subject, and statistical computing experience, e.g. programming in R or Stata. Some knowledge/experience of methodology for clinical trials would be desirable but not essential. You must have excellent communication skills and show potential to publish high quality scientific papers.

This position is available starting January 2017 but can be postponed for the right candidate.

Informal enquiries can be addressed to James Wason (james.wason@mrc-bsu.cam.ac.uk).

Fixed-term: The funds for this post are available for 3 years in the first instance.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

The closing date for applications is Wednesday 19th October 2016.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SL10197 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

For further information and to apply online, please go to: http://www.jobs.cam.ac.uk/job/11546/

 

Research Associate - Fixed Term
Salary: £28,982-£37,768
Reference: SL10238
Category: Research
Closing date: 23rd October 2016

More details / Apply

 

Applications are invited for a Research Associate position at MRC-BSU and the Department of Medicine, University of Cambridge, to work in the area of Statistical Genetics of Rare Diseases. The position is funded by NIHR Rare Diseases Translational Research Collaboration (http://rd.trc.nihr.ac.uk/) and the aim of the collaborative research project is to identify metabolites (Metabolon® DiscoveryHD4¿ platform) that provide the most accurate discrimination between rare diseases types and to select metabolites that can serve as biomarkers to improve diagnosis and therapeutic intervention for patients in rare diseases groups. The post holder will be also responsible for (i) initial data processing, (ii) preliminary data analysis using existing statistical methods, (iii) integration of the results with biochemical information.

A PhD in Statistics, Biostatistics or Computer Science, or a closely aligned discipline, or an equivalent level of professional qualifications and experience is essential. Applicants should also have a strong background in statistical theory and modelling and able to implement an automatic metabolite data analysis package in low-level language (C, C++).

The successful candidate must be able to work effectively within a team, have the ability to develop and apply new concepts, and have a creative approach to problem-solving. The successful candidate will be expected develop contacts and collaborations within Cambridge Biomedical Campus and in particular within the NIHR Rare Diseases Translational Research Collaboration.

The post-holder will work under the supervision of Dr Leonardo Bottolo, Department of Medicine - University of Cambridge - and Alan Touring Institute - London, and Prof Sylvia Richardson MRC-BSU - University of Cambridge.

For additional information please contact Dr L. Bottolo - lb664@cam.ac.uk - or Prof S. Richardson - sylvia@mrc-bsu.cam.ac.uk

Fixed-term: The funds for this post are available for 2 years in the first instance.

To apply online for this vacancy, please click on the 'Apply' button below. This will route you to the University's Web Recruitment System, where you will need to register an account (if you have not already) and log in before completing the online application form.

Please ensure that you upload a covering letter and CV in the Upload section of the online application. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application.

The closing date for applications is Sunday 23rd October 2016.

Interviews are likely to be held on the week commencing Monday 3rd November 2016.

Please include details of your referees, including email address and phone number, one of which must be your most recent line manager.

Please quote reference SL10238 on your application and in any correspondence about this vacancy.

The University values diversity and is committed to equality of opportunity.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

For further information and to apply online, please go to: http://www.jobs.cam.ac.uk/job/11546/


MRC welcomes applications from all sections of the community irrespective of gender, race, ethnic or national origin, religion or belief, sexual orientation, disability or age. As users of the “Two Ticks” disability symbol, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy.

For any general recruitment enquiries, please email: recruitment@mrc-bsu.cam.ac.uk