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From: allstat automatic digest system <[log in to unmask]>
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Date: Thu, 12 Apr 2012 00:01:29
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Subject: allstat Digest - 10 Apr 2012 to 11 Apr 2012 (#2012-91)
There are 7 messages totaling 1451 lines in this issue.
Topics of the day:
1. Phd position in Bergen
2. JOB: Medical Statistician, Oxford
3. JOB: PHASTAR: Contract statistician/SAS programmer roles
4. COURSE: Turn Your Data into Insights & Forecasts, Bath, UK, July 2012 -
Places still available!
5. JOB: Statistician, Cambridge
6. Research assistant/associate post in Manchester
7. Another research assistant/associate post in Manchester
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Date: Wed, 11 Apr 2012 09:18:00 +0100
From: "H. Skaug" <[log in to unmask]>
Subject: Phd position in Bergen
The Department of Mathematics, University of Bergen, has a vacancy
for a research fellow in statistics for a period of 4 years. Research areas
in statistics are biostatistics, statistical modelling in finance and time series.
Closing date for applications: 2 June 2012
More info: http://www.jobbnorge.no/job.aspx?jobid=82444
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Date: Wed, 11 Apr 2012 09:32:17 +0100
From: "Hayley Page (RCUK, SSC Ltd)" <[log in to unmask]>
Subject: JOB: Medical Statistician, Oxford
MRC Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU)
University of Oxford
Medical Statistician
£26,022-£31,758 p.a.
This is an excellent opportunity for a medical statistician to develop their experience and expertise within a leading academic clinical trials unit. You will provide statistical support to an interesting, methodologically challenging clinical trial research programme, and will be encouraged to take an interest in the medical questions addressed. You will work under the overall direction of Professor Richard Gray and will also work closely with other medical statisticians and clinical epidemiologists at CTSU.
You will be degree educated in statistics or equivalent experience and you will have good understanding of medical statistical techniques. Good computing skills using a statistical language such as SAS, R/S-PLUS or Stata are essential for success as is meticulous attention to detail and high levels of accuracy.
In return, we offer 30 days annual leave, a competitive salary and a final salary pension scheme. Please note that final appointment will be subject to pre-employment screening.
Applications are handled by the RCUK Shared Services Centre; to apply please visit our job board at https://ext.ssc.rcuk.ac.uk and complete an online application form. Applicants who would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), or who are unable to apply online should contact us by telephone on 01793 867003. Please quote reference number IRC51306.
Closing date: 7 May 2012
For further information about the MRC visit www.mrc.ac.uk
The MRC is an Equal Opportunities Employer
_______________________________________________________________
RCUK Shared Services Centre Limited (RCUK SSC Ltd) is a limited company registered in England and Wales (with company number 6330639) and has its registered address as North Star House, North Star Avenue, Swindon, Wiltshire SN2 1FF.
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This email and any attachments are intended for the named addressee(s) only. If you are not the intended recipient, please notify RCUK SSC Ltd immediately and do not disclose, distribute, or retain this email or any part of it. While RCUK SSC Ltd has taken every reasonable precaution to minimise risk of this e-mail or any attachments containing viruses, the recipient should carry out its own virus checks before opening the attachments. RCUK SSC Ltd does not accept any liability for any losses or damages which the recipient may sustain due to presence of any viruses. RCUK SSC Ltd reserves the right to monitor all e-mail communications through their networks for the purposes of preventing and detecting crime.
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Date: Wed, 11 Apr 2012 10:38:34 +0100
From: Stewart Ellison <[log in to unmask]>
Subject: JOB: PHASTAR: Contract statistician/SAS programmer roles
PHASTAR looking for contract Statisticians and SAS programmers
Salary scale: £35k-£55k based on experience
PHASTAR is a CRO specialising in: study design (pre-clinical to phase IV),
challenging statistical consultancy, reporting studies using SAS (sometimes
S+ and R), and mapping SDTM and ADaM datasets in CDISC. PHASTAR is looking
to employ experienced, qualified contract statisticians and SAS programmers
with relevant experience to support upcoming projects. You should have an
ability to hit the ground running, and to solve technical problems
independently. A more detailed job description can be emailed to you once
initial contact has been made.
- Advance your career in intellectually-stimulating, growing, dynamic, work
environment
- Variety of challenging projects with a number of large, reputable pharma
companies (range of therapeutic areas and phases)
- Competitive contractor rates
- Company owned and run by statisticians
- All applicants will be contacted within three working days
Statisticians are required to have a MSc or PhD in statistics, and must be
technically sound. SAS programmers must possess a relevant qualification.
All contractors must have the relevant SAS programming experience (ideally
within a clinical environment). You should possess effective communication
skills, and be confident liaising with clients.
Contact Stewart confidentially: [log in to unmask] or call 0207
183 7062
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Date: Wed, 11 Apr 2012 11:28:27 +0100
From: Nigel Marriott <[log in to unmask]>
Subject: COURSE: Turn Your Data into Insights & Forecasts, Bath, UK, July 2012 - Places still available!
MSC Training is pleased to offer the following 3-day course to be run in
Bath in July (4th to 6th) 2012. Turn Your Data into Insights & Forecasts
with Statistical Thinking is intended for anyone in the public or private
sector who needs to analyse & interpret the results of surveys and trials
and/or data collected over time periods, identify significant impacts,
changes & trends in their data and produce forecasts of the future. The end
result of such analyses is to turn your data into actionable insights &
forecasts that enables data-driven decisions to be made. To achieve this, a
practical understanding of Statistical Thinking, Concepts, Inference &
Forecasting ideas is essential and so, over the three days, you will learn
the following:
· Day 1 the practical application of the standard statistical
concepts of expectation, variance, probability, risk, distribution &
correlation so that you can summarise your data efficiently and start the
process of turning data into meaningful insights & trends.
· Day 2 how to confirm your insights using hypothesis testing
(T-tests, ANOVA, F-tests, Chi-squared test, etc) and how the design of your
trials and surveys affects the insight you obtain from your data.
· Day 3 - how to identify trends & seasonality in your data and
prove they are real using hypothesis tests. How to extract the underlying
trend using moving averages, detect significant deviations from expected
trends using the principles of SPC (Statistical Process Control) and to
extrapolate trends into forecasts.
Our normal venue is the Bath Royal Literary
<http://www.brlsi.org/admin/booking/brlsiletting.htm> & Scientific Institute
on the historic Queen Square in Bath. This is less than 10 minutes walk
from Bath railway station and is close to all the main attractions of Bath.
For more details on this course, please follow this link to our booking form
<http://www.marriott-stats.com/Course+11> . You are welcome to attend
either one, two or all three days and if choosing one or two days, you are
free to state which days you want to attend. The cost per person is:
1. £350+VAT (£420 including VAT) for 1 day
2. £650+VAT (£780 including VAT) for 2 days
3. £900+VAT (£1080 including VAT) for 3 days.
MSC Training is pleased to offer either of the following discounts:
A. 20% off for your colleague: Any colleague you bring along with you
will receive a 20% discount off the course fees listed above.
B. OR 4 places for the price of 3: Book 4 places and only pay for 3
places.
If you have 6 or more colleagues interested in attending then you will find
our on-site course option more cost-effective. Our price for the same
course as advertised here is £3,600 + venue hire + our travel expenses +
VAT. For an additional fee, we can offer customized versions of this course
that are more tailored to your requirements. Please contact MSC Training
for details.
Nigel Marriott
MSC Training
<http://www.marriott-stats.com/Training> www.marriott-stats.com/Training
Ground Floor, 21 Marlborough Buildings, Bath BA1 2LY, United Kingdom
Tel (office) +44 (0)1225 489033
MSC Training is a trading name of Marriott Statistical Consulting Limited,
Company No. 5577275, VAT No. 883304029
Registered in England, Registered Office Equity House, 4-6 School Road,
Tilehurst, Reading, RG31 5AL
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------------------------------
Date: Wed, 11 Apr 2012 14:08:56 +0100
From: Chris Wallace <[log in to unmask]>
Subject: JOB: Statistician, Cambridge
STATISTICIAN (RESEARCH ASSOCIATE)
JUVENILE DIABETES RESEARCH FOUNDATION/WELLCOME TRUST DIABETES AND INFLAMMATION LABORATORY, CAMBRIDGE INSTITUTE FOR MEDICAL RESEARCH, UNIVERSITY OF CAMBRIDGE
Wellcome Trust/MRC Building, Addenbrooke's Hospital, Hills Road, Cambridge, CB2 0XY
STATISTICIAN (RESEARCH ASSOCIATE)
Salary range: £27,578-£35,938
* Limit of tenure applies
The DIL https://www-gene.cimr.cam.ac.uk has been at the forefront of recent international success in discovering the genetic variants associated with type 1 diabetes and their function. We are now working to understand the mechanism through which genetic variation can influence disease risk and moving towards intervention trials. This requires careful statistical experimental design and analysis of a diverse range of data, including gene expression and cellular phenotype data.
We require an ambitious and motivated post doctoral statistician to join our statistics group. The ideal candidate will have a PhD in statistics, excellent statistical programming skills, and an ability to communicate and present results both to other statisticians and scientists. Knowledge of genetics or type 1 diabetes is less important than an interest in applying the innovative statistics we have found necessary when dealing with data generated by rapidly developing technologies, in order to answer questions of importance to biology and health.
Applications including a CV and completed Form CHRIS/6 Parts 1 and 3 only - available at http://www.admin.cam.ac.uk/offices/hr/forms/chris6/should be sent to Ms Jenny Newton, Cambridge Institute for Medical Research, Wellcome Trust/MRC Building, Cambridge, CB2 0XY. Email: jennifer.newton @ cimr.cam.ac.uk.
*Limit of tenure 30 September 2015
Quote reference: SE00171
Closing date: 2 May 2012
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------------------------------
Date: Wed, 11 Apr 2012 15:15:25 +0000
From: Evangelos Kontopantelis <[log in to unmask]>
Subject: Research assistant/associate post in Manchester
Hello allstat
Research Assistant or Research Associate in Statistics
Primary Care Research Group, School of Community-based Medicine, University of Manchester
Salary range: £24,520 - £35,938 p.a.
Primary Care Databases (PCDs), such as the General Practice Research Database (GPRD), contain detailed electronically captured data on millions of doctor-patient consultations across hundreds of general practices and are a vast potential resource of data for addressing questions about the effectiveness of health interventions. Applications are invited for the above post to work on two different, but overlapping, projects involving PCDs:
Project 1: Uncertainties around issues of data quality, completeness, and confounding factors mean there is a need to more fully establish the validity of results from studies based on PCDs. We aim to identify, further develop, and test methods for addressing validity issues of PCDs, and through this work increase the quality of future PCD-based studies.
Project 2: The 'Quality and Outcomes Framework' (QOF) is the national performance-related pay scheme for general practices. QOF uses a range of quality indicators to measure the care provided to patients and we will use PCDs to investigate a range of questions related to the QOF and the health benefits of incentivized care.
The projects will require extensive manipulation and interrogation of the GPRD database. Statistical methods to be applied include multivariate regression, multilevel models, interrupted time-series, statistical simulation, and methods for assessing the sensitivity of results to unmeasured confounders.
You should hold a good first degree (2.1 or above) or equivalent in statistics or a relevant discipline, a good knowledge of both the theory and application of multivariate statistical methods, such as multiple regression and multi-level models, and experience of using statistical software (preferably STATA) and relational database systems. At the Research Associate level you should have a PhD (completed or near completion) in statistics or a strongly quantitative PhD in a related discipline (eg Health Services Research), knowledge of programming, research experience and a publication record. At the Research Assistant grade there is the opportunity to apply for NSPCR or other funding to undertake a PhD.
Further details can be found on the University of Manchester vacancies website: https://www.jobtrain.co.uk/universityofmanchester/DisplayJob.aspx?pageno=0&htmlpage=JobDisplay&Jobid=18928&txtKeywords=&chkCategory=&lstRegion=&chkSalary=&chksubject=&optMatch=&clientid=73&AttachedSAF=0
Informal enquiries may be made to:
Dr David Reeves Tel: 0161 275 3536 or Email: [log in to unmask]
Closing date: 01/05/2012
Reference: M&HS-00962
Employment type: Fixed Term until 15 October 2013 in the first instance
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community.
Best wishes
Evan
Evangelos Kontopantelis, PhD
Research Fellow
Health Sciences Primary Care Research Group
5th floor Williamson Building
University of Manchester
M13 9PL
Tel: 0161-27-57646
e-mail: [log in to unmask]<mailto:[log in to unmask]>
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------------------------------
Date: Wed, 11 Apr 2012 15:52:13 +0000
From: Evangelos Kontopantelis <[log in to unmask]>
Subject: Another research assistant/associate post in Manchester
Hello allstat, again
Research Assistant or Research Associate in Statistics
Primary Care Research Group, School of Community-based Medicine, University of Manchester
Salary range: £24,520 - £35,938 p.a.
Primary Care Databases (PCDs), such as the General Practice Research Database (GPRD), contain detailed electronically captured data on millions of doctor-patient consultations across hundreds of general practices and are a vast potential resource of data for addressing questions about the effectiveness of health interventions.
Recent studies have shown that people with a serious mental illness (SMI) like schizophrenia or bipolar disorder are more likely to die younger and have poorer health than people without an SMI. This is due to the nature of serious mental illness itself, the medications used to treat it, and the greater likelihood of people with SMI having an unhealthy lifestyle.
The 'Quality and Outcomes Framework' (QOF) is the national performance-related pay scheme for general practices. QOF uses a range of quality indicators to measure the care provided to patients and we will use the GPRD to investigate a range of questions related to the QOF and the health benefits of incentivised care for SMI patients.
The project will require extensive manipulation and interrogation of the GPRD database. Statistical methods to be applied include multivariate regression, multilevel models and interrupted time-series.
You should hold a good first degree (2.1 or above) or equivalent in statistics or a relevant discipline, a good knowledge of both the theory and application of multivariate statistical methods, such as multiple regression and multi-level models, and experience of using statistical software (preferably STATA) and relational database systems. Applicants at the Research Associate level should have a PhD (completed or near completion) in statistics or a strongly quantitative PhD in a related discipline (eg Health Services Research), knowledge of programming, research experience and a publication record. For applicants at the Research Assistant grade there is the opportunity to apply for NSPCR or other funding to undertake a PhD.
Further details can be found on the University of Manchester vacancies website:
https://www.jobtrain.co.uk/universityofmanchesterinternal/DisplayJob.aspx?pageno=0&htmlpage=JobDisplay&Jobid=18951&txtKeywords=&chkCategory=962&lstRegion=&chkSalary=2203,2204&chksubject=&optMatch=Any&clientid=73&AttachedSAF=1
Informal enquiries may be made to Dr Evan Kontopantelis, [log in to unmask]<mailto:[log in to unmask]> or telephone: 0161 275 7646
Closing date: 02/05/2012
Reference: M&HS-00973
Employment type: Fixed Term until 15 October 2013 in the first instance
The University of Manchester values a diverse workforce and welcomes applications from all sections of the community
Best wishes
Evan
Evangelos Kontopantelis, PhD
Research Fellow
Health Sciences Primary Care Research Group
5th floor Williamson Building
University of Manchester
M13 9PL
Tel: 0161-27-57646
e-mail: [log in to unmask]<mailto:[log in to unmask]>
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------------------------------
End of allstat Digest - 10 Apr 2012 to 11 Apr 2012 (#2012-91)
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