Hi Michelle,
Looks like the Jumping Rivers' courses are going ahead next week - see below.
Regards,
Alan.
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There are 9 messages totaling 2393 lines in this issue.
Topics of the day:
1. JOB | StatsJobs - Senior Biostatistician, The University of Cambridge
2. ANNOUNCE: REMINDER OF TONIGHT'S CAMBRIDGE STATISTICS DISCUSSION GROUP TALK
- ALL ARE WELCOME!
3. JOB | DataScientistJobs - Senior Data Scientist, dunnhumby
4. JOB: Statistician/Senior Statistician Vacancy - Unilever R&D
5. REMINDER: JOB: Postdoctoral Research Fellow at University of Leeds
6. COURSE: Prognosis Research: Concepts, Methods and Clinical Application
International Summer School, 25th - 27th June 2018, Keele University, UK
7. JOB: postdoc fellowship for 2018 start
8. Job: Statistician/Junior Statistician at Statistics for Sustainable
Development
9. COURSES: R. Newcastle & London. By Jumping Rivers.
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Date: Thu, 1 Mar 2018 08:20:02 +0000
From: James Phillips <[log in to unmask]>
Subject: JOB | StatsJobs - Senior Biostatistician, The University of Cambridge
Senior Biostatistician, The University of Cambridge
The University of Cambridge is seeking to appoint a senior biostatistician to join the Cambridge Clinical Trials Unit (CCTU) – Cancer Theme, located on the Addenbrooke’s Biomedical Campus in Cambridge, and working closely with local investigators from the University of Cambridge, Cambridge University Hospitals NHS Foundation Trust and Cambridge and Peterborough Foundation Trust to develop and deliver high quality clinical trials in cancer research.
The post is designed to lead the statistics group, in the Cancer Theme, within the Unit.
The statistics group is currently supporting a number of on-going interventional and observational trials. The post-holder will be expected to lead on and develop and implement statistical analysis plans, handle day-to-day statistical issues relating to the study design, randomisation processes, interim and final analysis of studies, contribute to manuscripts for publication, and prepare abstracts, posters and slides for presentation of analyses at departmental, national and international academic meetings.
More Information >>>>> http://bit.ly/2FEvEgN
View similar jobs >>>>> www.StatsJobs.com
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------------------------------
Date: Thu, 1 Mar 2018 09:33:43 +0000
From: Peter Watson <[log in to unmask]>
Subject: ANNOUNCE: REMINDER OF TONIGHT'S CAMBRIDGE STATISTICS DISCUSSION GROUP TALK - ALL ARE WELCOME!
A reminder of tonight's talk - all welcome!
THE CAMBRIDGE STATISTICS DISCUSSION GROUP
Thursday 1st March 2018 7:15 for 7:45
The Music Room, Downing College, Regent Street, Cambridge CB2 1DQ
Solving the Reproducibility Crisis
Nicole Janz
Department of Sociology
Abstract: Reproducibility is held as the gold standard for scientific research. The legitimacy of any published work depends on the question: can we access the data, replicate the analysis and come to the same results? In many cases, the answer is no. In Political Science, Economics, Psychology and many other fields, scandals involving fabricated data have stirred a debate that calls for fundamental changes in the way research is done. This talk will discuss how universities, journals, funders and researchers can nurture a reproducibility culture to ensure that the gold standard of reliable, credible and valid research is upheld.
Speaker: Dr Nicole Janz is an Assistant Professor at the School of Politics and International Relations at the University of Nottingham. Her research interests include human rights, foreign direct investment, corruption and slavery. Dr Janz is involved in a number of initiatives to promote research transparency. She is an ambassador at the Center for Open Science (CFO) and a catalyst at the Berkeley Initiative for Transparency in the Social Sciences (BITSS). Before working at Nottingham, Dr Janz taught statistics for social scientists at the Social Sciences Research Methods Centre, University of Cambridge. She completed her PhD in Politics and International Studies at the Department of Politics and International Studies at Cambridge. Dr Janz blogs about reproducibility at http://politicalsciencereplication.wordpress.com and tweets @polscireplicate.
Directions: A map of the college is at https://www.downing-conferences-cambridge.co.uk/information/college-map/. To get to the Music Room walk straight through the front gate on Regent Street a short way until you see a large open space to your left (the Quadrangle). Walk to the far side of this quadrangle. Turn left. A set of staircases should now be on your right. Go up the 'E' staircase. Once inside continue to follow the signs.
The nearest car park is at the Grand Arcade. Arrivals after 7-45pm may gain admittance by contacting the secretary on 07761769436. You can also obtain directions to the Music Room by enquiring at the Porters' Lodge (on left by Regent Street entrance).
Provisional Next Meetings:
March TBC - Sylvia Richardson (Biostatistics).
26th April - Robert Kozarski (AstraZeneca) on 'Pre-clinical and clinical drug development from a Pharmaceutical Statistician perspective'.
October - Sarah Walters (London School of Hygiene and Tropical Medicine).
20th November - Fabio Rigat (GSK) & Nicky Best (Imperial).
4th February 2019 - Sian Evans (Public Health England).
Supper: Some members eat regularly in the University Centre before each meeting at 5-45pm. Feel free to join them.
Subscriptions: of 1 pound are now due for attending the 2017-2018 session.
Secretary: Peter Watson, MRC Cognition and Brain Sciences Unit, 15 Chaucer Road, Cambridge CB2 7EF; telephone 01223 355294 Extension 801; E-mail [log in to unmask]<mailto:[log in to unmask]>
Slides and .mp3 files of old talks: http://www.mrc-cbu.cam.ac.uk/people/peter.watson/csdg.html
----------------------------------------------------------------------------------------
Peter Watson
MRC Cognition & Brain Sciences Unit
University of Cambridge
15 Chaucer Road
Cambridge
CB2 7EF
Telephone: +44 (0) 1223 355294 x801 or +44 (0) 1223 273712 (direct) Fax +44 (0) 1223) 359062
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------------------------------
Date: Thu, 1 Mar 2018 09:49:37 +0000
From: James Phillips <[log in to unmask]>
Subject: JOB | DataScientistJobs - Senior Data Scientist, dunnhumby
Senior Data Scientist, dunnhumby, London
We are looking for a senior data scientist to work on an exciting new initiative in dunnhumby that will help our clients understand their customers better than ever before. Using a varied and rich set of customer data, you will be searching for the interactions that create insights and value for consumers and clients. You will need to be able to self direct your work and collaborate with the wider team to productionise analytics and insight generation. The role would suit someone with an entrepreneurial mindset who can differentiate between what is valuable/ important to consumers and clients versus merely interesting.
We are looking for someone with experience in Big Data and attitudinal, retail or social data.
More Information >>>>> http://bit.ly/2FFGkMk
View similar jobs >>>>> www.DataScientistJobs.co.uk
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------------------------------
Date: Thu, 1 Mar 2018 11:14:10 +0000
From: "Rowson, Matthew" <[log in to unmask]>
Subject: JOB: Statistician/Senior Statistician Vacancy - Unilever R&D
SALARY: £31,000 TO £38,000 plus excellent benefits
MAIN JOB PURPOSE:
Unilever is a leading multinational "Fast Moving Consumer Goods" company, with extensive R&D facilities around the globe. To meet the sustainable business growth challenge of the next decade, Unilever R&D aims to transform its approach to scientific discovery and product development.
The Digital R&D team is leading a digital transformation of R&D through programs in Big Data Analytics, Predictive modelling and Product Life Cycle Management with a view to driving speed, efficiency and connectivity of R&D. The Modelling & Data Analytics team in Digital R&D, provides leading statistics, data science and data management expertise to deliver predictive models and advanced analytics for new insights to the category programs across all R&D functions.
The focus lies in the design and planning of experiments, analyses of data, building and validating predictive models and interpretation and exploitation of outcomes together with the project team. The products and brands we support are across Unilever's categories in Foods & Refreshment, Home Care and Personal Care
JOB SUMMARY
* Engagement and collaboration with globally deployed, multi-disciplinary teams to design and implement efficient, well-focused, statistically fit-for-purpose studies, analyse, visualise and interpret data, build and validate predictive models and simulations
* Work in inter- disciplinary teams that will include product formulators, process/packaging engineers, clinicians, measurement scientists, bio-informaticians, claim experts, and other statisticians, both internal in Unilever and external partners.
* Provision of data science/statistics expertise across a range of R&D disciplines to define and execute analytics and modelling approaches (eg: trained panel and consumer studies, investigating key attributes and product preferences, assessment of how consumer perceptions match with product development objectives through analyses of data)
* Responsibility for the quality and defensibility of statistical analyses, models and data interpretation.
KEY REQUIREMENTS:
* The candidate should have at least a Master's Degree in Statistics, Mathematics or Data Science, with proven experience in research or the FMCG/Retail/Pharmaceutical industries.
* You should have a strong academic background, and strong written and oral communication skills.
* Knowledge of product development processes including packaging and manufacturing
* Experience working cross functionally and globally across different time zones
* Strong expertise in Design and Analysis of Experiments (DOE)
* Hands-on technical expertise in data management and visualisation
* Strong technical background in multivariate statistical methods e.g. PCA, PLS and machine learning methods and designing simulations (knowledge of Bayesian Methods a plus).
* Hands-on experience with professional statistical software such as SAS and JMP. Computer programming skills (Python, R and Finite Element Analysis) (Engineering Simulations) will be considered a plus
COMPANY OVERVIEW
Unilever is a global Fast-Moving Consumer Goods company in the UK and Ireland. We are already on target to achieve our huge ambition to double the size of our business globally whilst reducing our environmental impact. We are growing our business and also doing what is right for our consumers, community and environment. We are developing brands for people's lives today and for the changing environment tomorrow - making sustainable living commonplace.
Working at Unilever means that you get to take part in this exciting journey and work with amazing people who are really passionate about our large portfolio of famous brands. We want to improve billions of lives and you too can join us in making a sustainable difference.
APPLICATION PROCESS
To apply or for further information please visit https://unilever.taleo.net/careersection/external/jobdetail.ftl?lang=en&searchExpanded=true&job=180000C2
Closing Date: March 9th.
Matthew Rowson CFC Digital R&D. Senior Statistician
T: +44 (0)1234222919 M: +44 (0)7808939044 Unilever U.K. Central Resources Limited Registered in England & Wales; Company No 29140 Registered Office: Unilever House, Blackfriars, London, EC4Y 0DY www.unilever.com<http://www.unilever.com/> | www.facebook.com/unilever<http://www.facebook.com/unilever>
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------------------------------
Date: Thu, 1 Mar 2018 11:57:24 +0000
From: Rebecca Walwyn <[log in to unmask]>
Subject: REMINDER: JOB: Postdoctoral Research Fellow at University of Leeds
From: A UK-based worldwide e-mail broadcast system mailing list [mailto:[log in to unmask]] On Behalf Of Rebecca Walwyn
Sent: 19 February 2018 13:59
To: [log in to unmask]
Subject: JOB: Postdoctoral Research Fellow at University of Leeds
Postdoctoral Research Fellow
Are you interested in applying your statistical and/or mathematical training to medicine? Would you like to be involved in a prestigious methodology grant on a clinical trial design to evaluate complex interventions in institutional settings? Would you like to work within a highly successful, 'impressive and inspirational' clinical trials unit, joining a team of over 30 statisticians?
You will work on the MRC Methodology Research Programme funded project: "Open-cohort designs for cluster-randomised trials in institutional settings". This programme of statistical research is bolted on to a cluster-randomised trial (DCM-EPIC) evaluating the effectiveness/cost-effectiveness of a quality improvement intervention, directed at staff in care homes, to enable person-centred care for people with dementia and their carers. It aims to develop novel statistical methods to design and analyse clinical trials and consists of 5 work packages: i) literature review, ii) user engagement, iii) statistical development, iv) statistical evaluation and v) practical guidance.
You will be responsible for performing a literature review, proposing statistical models, comparing methods for handling missing data, exploring methods for incorporating length of stay, developing sample size formulae, a simulation study and contributing to practical guidance and research outputs. Specialist methodological expertise will be provided by the Principal Investigator, Dr Rebecca Walwyn (Leeds), Co-Investigators, Dr Andrew Copas (UCL), Professor Amanda Farrin (Leeds) and Professor Claire Surr (Leeds). There will be an opportunity to undertake further specific training in the post. In addition, you may make a small contribution to the teaching programme, providing specialist advice to medical statisticians in the Clinical Trials Research Unit.
You will have a PhD, or equivalent qualification/experience, in statistics or a related discipline. Additionally, you will have experience of medical statistics and conducting literature reviews and simulation studies.
To explore the post further or for any queries you may have, please contact:
Dr Rebecca Walwyn, Principal Statistician
Tel: +44 (0)113 343 5485, Email: [log in to unmask]<mailto:[log in to unmask]>
To apply, please visit https://jobs.leeds.ac.uk/Vacancy.aspx?id=10573&forced=1
Interviews are expected to take place in February 2018
Further Information
The University of Leeds is committed to providing equal opportunities for all and offers a range of family friendly policies<http://hr.leeds.ac.uk/homepage/4/policies>. The University is a charter member of Athena SWAN and holds the Bronze award. The School of Medicine gained the Silver award in 2016. We are committed to being an inclusive medical school that values all staff, and we are happy to consider job share applications and requests for flexible working arrangements from our employees.
Location:
Leeds - Main Campus
Faculty/Service:
Faculty of Medicine & Health
School/Institute:
Leeds Institute of Clinical Trials Research (LICTR)
Category:
Research
Grade:
Grade 7
Salary:
£32,004 to £38,183 p.a.
Working Time:
100%
Post Type:
Full Time
Contract Type:
Fixed Term (2 years due to external funding)
Closing Date:
Monday 12 March 2018
Interview Date:
To be confirmed
Reference:
MHCTR1102
Downloads:
Candidate Brief<https://jobs.leeds.ac.uk/Upload/vacancies/files/11026/MHCTR1102%20-%20Postdoctoral%20Research%20Fellow.pdf>
Email details to a friend<https://jobs.leeds.ac.uk/EmailFriend.aspx?ref=MHCTR1102>
Rebecca Walwyn
Principal Statistician
Clinical Trials Research Unit
Leeds Institute of Clinical Trials Research University of Leeds Leeds
LS2 9JT
Tel: 0113 343 5485
Fax: 0113 343 1471
Email: [log in to unmask]<mailto:[log in to unmask]>
Web site: http://ctru.leeds.ac.uk<http://ctru.leeds.ac.uk/>
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------------------------------
Date: Thu, 1 Mar 2018 13:13:55 +0000
From: Rebecca Whittle <[log in to unmask]>
Subject: COURSE: Prognosis Research: Concepts, Methods and Clinical Application International Summer School, 25th - 27th June 2018, Keele University, UK
Event: INTERNATIONAL SUMMER COURSE IN PROGNOSIS RESEARCH: CONCEPTS, METHODS AND CLINICAL APPLICATION
*Date:* 25th – 27th June 2018
*Location:* Keele University, Keele, Staffordshire, United Kingdom
*Cost:* The course fee will be £795 when registering on or before 31st March 2018 (including meals and 2 nights’ accommodation), and £895 from 1st April 2018.
*More information and registration: **https://www.keele.ac.uk/mrcprognosis/
<https://www.keele.ac.uk/mrcprognosis/>*
As increasing numbers of people worldwide live with one or more health problems, the study of prognosis has never been more important. Prognosis research provides information crucial to understanding, explaining and predicting future clinical outcomes in people with existing disease or health conditions. It provides pivotal evidence to inform outcome prediction, clinical decision making, design and evaluation of stratified medicine (stratified care), and all stages of translational research from molecular biology to health policy.
This 3-day summer school is designed to introduce the key components and uses of prognosis research to health professionals and researchers,
including:
- a framework of four different prognosis research questions: overall
prognosis, prognostic factors, prognostic models, and stratified medicine
- key principles of study design and methods
- interpretation of statistical results about prognosis
- the use of prognosis research evidence at multiple stages on the
translational pathway toward improving patient outcome
- the limitations of current prognosis research, and how the field can
be improved
The course consists of lectures from a core faculty of epidemiologists, statisticians and clinical researchers, alongside group work and discussion sessions. *Please note that no computer practicals are included with the focus instead on interpretation of statistical concepts and results of analyses*. Basic knowledge of epidemiology and statistics is assumed. The course is founded on the prognosis research framework introduced by the PROGRESS partnership, described in a series of 4 articles published in BMJ/PLoS Medicine in February 2013. The PROGnosis RESearch Strategy partnership is a collaboration led by Keele University (Richard Riley, Peter Croft, Danielle van der Windt), UCL (Harry Hemingway, Aroon Hingorani), London School of Hygiene and Tropical Medicine (Pablo Perel, Ian Roberts), Bart’s Heart Centre (Adam Timmis) and the University of Oxford (Douglas Altman).
The course is hosted by the Keele Centre for Prognosis Research and will take place on the rural campus of Keele University.The course fee will be
£795 when registering on or before 31st March 2018 (including meals and 2 nights’ accommodation), and £895 from 1st April 2018. To book a place on the course please click <http://estore.keele.ac.uk/conferences-and-events/faculty-of-medicine-and-health-sciences/primary-care-health-services/course>
here
<http://estore.keele.ac.uk/conferences-and-events/faculty-of-medicine-and-health-sciences/primary-care-health-services/course>
or for further information please contact Sue Weir (
[log in to unmask]) or visit the website ( https://www.keele.ac.uk/mrcprognosis/).
*EARLY BIRD REGISTRATION CLOSES 31st MARCH 2018*
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Date: Thu, 1 Mar 2018 13:44:09 +0000
From: Simon Harden <[log in to unmask]>
Subject: JOB: postdoc fellowship for 2018 start
The Biometrika Trust offers a 2 or 3 year research fellowship, for junior researchers in statistical theory or methodology (despite the name of the Trust, the research does not have to be biostatistical). It is aimed at those among the most outstanding recent PhD graduates who are capable of self-direction.
The fellowship offers an annual salary on the scale £33,518-£37,551 (plus London weighting if appropriate), research support costs of £4000 (2 years) or £5000 (3 years), and up to £5000 funding for a 'career development event' to be devised and organised by the Fellow. Applications should be made by the (potential) Fellow, who should have identified and sought the support of a suitable UK host department.
There are no nationality or citizenship restrictions, but the fellowship must be hosted in UK universities or suitable public-sector research institutions and it will be the responsibility of the host department to get UKVI approval, if relevant, once any award is made.
Any host department is not expected to supervise or direct the research, but must provide a stimulating and inclusive research environment, and each Fellow’s career development should be supported through mentoring.
For fuller details, and for the application procedure please visit http://biometrika.wikidot.com
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------------------------------
Date: Thu, 1 Mar 2018 14:47:31 +0000
From: Statistics for Sustainable Development <[log in to unmask]>
Subject: Job: Statistician/Junior Statistician at Statistics for Sustainable Development
Stats4SD is hiring!
We are inviting applications for the following positions
1. Junior Statistician
2. Statistician
Further details can be found at www.stats4sd.org/jobs
Statistics for Sustainable Development (Stats4SD) is a not-for-profit social enterprise. Our team supports scientists and development workers in the design of studies, data analysis, interpretation, writing up and sharing of their research products. Our work is varied. It includes scientific research in areas like agriculture, food security, climate change and its impact on people, as well as monitoring and evaluation of development initiatives. Most of our work is in developing countries in Africa, Asia and Latin America. Our team is constantly in remote contact with our clients and partners, but we also travel frequently to visit the projects we support. As a new member in our team you will be working with senior statisticians and data engineers, supporting the main operations of our company.
Deadline for applications: 20 March 2018
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------------------------------
Date: Thu, 1 Mar 2018 17:51:22 +0000
From: Theo Roe <[log in to unmask]>
Subject: COURSES: R. Newcastle & London. By Jumping Rivers.
In March & April Jumping Rivers will be hosting numerous R training courses in Newcastle and London. All courses consist of a mixture of lecture material and practical sessions, each with its own dedicated R package containing documents, practical solutions and data sets for participants.
Dates and locations are as follows, further information and prices can be found at the link at the bottom of this page.
*March: *
*London*
*12th - Advanced Graphics with R* - Moving on from R's base graphics, consideration of how graphics are composed and the excellent ggplot2 package.
*13th - **Automated reporting (first steps towards shiny) *- Create interactive documents that update automatically with your data. Including interactive data visualisation tools.
*14th - Interactive graphics with Shiny *- Build beautiful, responsive, and powerful applications with minimal effort. Regardless of your background, shiny will enable you to present your data in new and innovative ways.
*15th - Advanced Programming with R *- The main focus of the course is advanced programming techniques, such as S3/S4 objects, references classes and function closures.
*April: *
*Newcastle*
*9th - Introduction to R - *See above description.
*10th - Statistical Modelling with R - *Introduction to a number of introductory statistical routines in the R programming language. Topics covered include linear regression, hypothesis testing, clustering and principal components analysis.
*11th - Programming with R* - An introduction to programming elements such as control flow and function writing in R.
*12th - Advanced Graphics with R* - See above description *13th - **Automated reporting (first steps towards shiny) *- See above description
Further details on each course, costs, future events and more are available at https://www.jumpingrivers.com/dates.
If you would like to get in touch directly with any queries then please do not hesitate to do so.
Best,
Theo.
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------------------------------
End of allstat Digest - 28 Feb 2018 to 1 Mar 2018 (#2018-55)
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