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Ealing Hospital


JOB DESCRIPTION

JOB TITLE:                          Post-Doctoral 
Statistical Genetics Research Fellow

SALARY:                             £35100 - £38712

DEPARTMENT: Cardiology Dept, Ealing Hospital in 
conjunction with Dept of Epidemiology Imperial 
College, National Heart and Lung Institute, 
Imperial College, and Medical Genetics, Clinical 
Pharmacology and Discovery Medicine (CPDM), GSK

ACCOUNTABLE TO: Professors Jaspal S Kooner and Vincent Mooser






Applications are invited for the post of 
Post-Doctoral Statistical Genetics Research 
Fellow. The appointee will contribute to the 
analysis of genome wide association data from the 
London Life Sciences Prospective Population 
(LOLIPOP) study. The appointee will have 
experience in the field of genetic epidemiology, 
with a proven track record of publications. The 
appointee will be expected to develop a high 
quality research programme, under the direction 
of the senior LOLIPOP and GSK investigators.

The post will be jointly based in the Department 
of Cardiology at Ealing Hospital, and GSK. The 
post-holder will collaborate extensively, and 
will also hold honorary contracts, with Imperial 
College and GSK. The post is funded by an unrestricted grant from GSK.




THE DEPARTMENT


The Department of Cardiology has over twenty 
staff involved in research into the genetic and 
environmental factors underlying complex diseases 
including metaboilic syndrome, hypertension, 
diabetes and coronary artery disease in UK Indian 
Asians and Northern Europeans. The Department is 
led by Professor JS Kooner, who is supported by 
three Senior Lecturers (Dr John Chambers, Dr 
Stuart Rosen, Dr Ranil De Silva). The Department 
works in close collaboration with Imperial 
College, and in partnership with Pharmaceutical and biotechnology companies.

The postholder will be based jointly at Ealing 
Hospital and GSK, and will also benefit from 
close collaboration with the many intellectual 
resources of Imperial College, including a wide 
range of seminars and lectures, and the advice 
and expertise of the National Heart and Lung 
Institute, and the Department of Epidemiology and Public Health.

THE PROJECT

Coronary Heart Disease (CHD) mortality is 2-fold 
higher in UK Indian Asians than Northern 
Europeans, and is not accounted for by recognised 
coronary risk factors. The London Life Sciences 
Population (LOLIPOP) Research Programme (PIs Prof 
JS Kooner, Dr JC Chambers) is an investigation of 
30,000 Indian Asians and Europeans. This research 
includes a cohort study aimed at identifying 
incident coronary heart disease, type-2 diabetes 
mellitus, obesity, and chronic kidney disease in 
the two populations. To date over 24,000 
participants have been recruited and 
characterised. Blood samples have been stored and 
participants are being followed every 5 years for 
cardiovascular and other health events.

Key sub-studies have also been established and include;
i. LOLIPOP Genomics, to identify common genetic 
variants underlying susceptibility to complex 
traits, including insulin resistance, type-2 
diabetes, and atherosclerosis, using whole genome association approaches.
ii. LOLIPOP ‘Omics’, to identify metabolomic, 
proteomic and transcriptomic fingerprints linked 
with CHD in the two population groups.
iii. LOLIPOP Atherosclerosis, to identify factors 
associated with subclinical atherosclerosis, and 
its progression, using quantitative markers (EBCT, cIMT).

Genomic, metabolomic and proteomic assays are 
being completed as a collaboration between the 
LOLIPOP investigators and GSK. 1500 genome wide 
association scans have already been completed 
using the Affymetrix 500K chip, and a further 
1000 scans are expected over the next 6 months.

The results of LOLIPOP and its substudies will 
enable identification of factors that contribute 
to increased CHD risk amongst Indian Asians, and 
help develop effective diagnostic, therapeutic 
and preventive strategies for CHD in Indian 
Asians that can be readily applied in clinical practice.


DUTIES & RESPONSIBILITIES:

·        In collaboration with clinical 
researchers, implement a data management system 
for genotype and clinical data being collected.
·        In collaboration with genomics 
researchers, analyse the relationships between 
genetic markers and phenotypes (clinical, 
metabolomic and proteomic) associated with 
atherosclerosis, and other human disease.
·        Make a strong contribution to reporting 
study results, including writing up for 
publication in peer-reviewed journals and 
presentations at seminars and conferences
·        To plan and carry our research  in accordance with the project aims
·        To maintain accurate and complete records of all findings
·        To present research findings to colleagues and at conferences
·        To conduct literature searches and reviews
·        To develop contacts and research 
collaborations within the Department and wider 
academic community in order to further the project aims
·        To demonstrate an up to date knowledge 
of scientific literature in research area




CONFIDENTIALITY


Information relating to patients, employees and 
business of the Trust must be treated in the 
strictest confidence.  Under no circumstances 
should such information be discussed with any 
unauthorised person(s) or 
organisations.  Breaches of confidentiality may lead to disciplinary action.




HEALTH AND SAFETY AT WORK


You are required to take reasonable care of the 
health and safety of yourself and other persons 
who may be affected by your acts or omissions at 
work and to co-operate with the Trust in adhering 
to statutory and departmental safety regulations.







EQUAL OPPORTUNITIES


Ealing Hospital NHS Trust stands in opposition to 
all forms of less favourable treatment accorded 
to employees or job applicants on the grounds of 
race, age, sexual orientation, religion, 
disability, nationality, martial status, HIV/AIDS 
status, trade union membership and/or activity.




RISK MANAGEMENT


You are required to contribute to the control of 
risk and use the incident reporting system to 
alert the Trust of incidents or near misses that 
may compromise the quality of services.






CLINICAL GOVERNANCE


It is the duty of every employee to fulfil their 
individual clinical governance responsibilities 
and their expected contribution to ensuring that 
the Trust complies with benchmarked standards for quality of clinical care.


This list is only an indication of the main tasks 
required to be performed.  It is not an 
exhaustive list of duties and responsibilities 
and may be subject to amendments to take account 
of changing circumstances. The Trust reserve the 
right that you may be required to undertake such 
other duties and/or hours of work as may 
reasonably be required of you commensurate with 
your grade at your normal place of work or from 
another location within the Trust.
PERSON SPECIFICATION

Qualifications/Knowledge

Essential:
·        a PhD in statistical genetics or genetic 
epidemiology or related field (statistics, 
epidemiology, population genetics, bioinformatics, mathematics)

Experience
Essential:
·        experience of scientific computer programming
·        experience of data management and statistical analyses

Desirable:
·        experience of designing, and/or 
analysing data from, genetic association studies

Skills/Abilities
Essential:

·        Ability communicate well in writing, 
person to person, and in seminar or conference presentations
·        Ability to solve problems using innovative and flexible thinking
·        Ability to work autonomously and take responsibility
·        Ability to work proactively within an agreed programme


Contact Details

Please send CV and cover letter to:

Professor Jaspal S Kooner MD FRCP
Professor of Clinical Cardiology and Consultant Cardiologist
National Heart & Lung Institute
Imperial College Faculty of Medicine
Hammersmith Hospital Campus
Du Cane Rd,
London
W12 ONN, UK

Tel:      +44 20 8383 3037 (PA, Hammersmith)
Fax:     +44 20 8967 5884
Mobile: +44 7970 666777
email:   <mailto:[log in to unmask]>[log in to unmask]




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James Miller
Department of Statistics
University of Glasgow
15 University Gardens
G12 8QQ
0141 3302474
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