2014 April : Biostatnet

CALL FOR PAPERS: Computational Statistics and Data Analysis
Special Issue on ADVANCES IN SURVIVAL ANALYSIS http://www.journals.elsevier.com/computational-statistics-and-data-analysis/call-for-papers/special-issue-on-advances-in-survival-analysis/ We are inviting submissions for a special issue of Computational Statistics and Data Analysis dealing with Advances in Survival Analysis. Survival analysis deals with data representing the time to a well-defined event. The most modern contributions consider the possibility of combining flexible estimation methods and information on specific aspects of the process under investigation to develop efficient procedures. This means that the research may avoid any rigid assumption on the population structure, while making use of all the available information at the time of analysis. These data arise in engineering, economy, public health, biomedicine and other areas. This special issue focuses on modern and flexible statistical methods for analyzing event times in complex or non-standard settings. Key research areas in Survival analysis are: * Non- and semi-parametric curve estimation and inference from   survival data. * Assessment of diagnostic markers for survival. * Clustered survival data and frailty models. * Multi-state models and multivariate survival analysis. * Interval-censoring and doubly censored or truncated data. * Copula-based models under censoring/truncation. * Goodness-of-fit tests for survival data. * Regression models with censored and/or truncated response. * Dimension reduction and variable selection in high-dimensional survival problems. * Missing data in Survival Analysis. The papers should have a computational or advanced data analytic component in order to be considered for publication.  Authors who are uncertain about the suitability of their papers should contact the editors. All submissions must contain original unpublished work that is not being considered for publication elsewhere. Submissions will be refereed according to standard procedures for Computational Statistics & Data Analysis. Information about the journal can be found at http://www.journals.elsevier.com/computational-statistics-and-data-analysis/. The deadline for submissions is 30 April 2014. However, papers can be submitted at any time and once they are received, they will enter the editorial system immediately. Papers for the special issue should be submitted using the Elsevier Electronic Submission tool EES: http://ees.elsevier.com/csda.  In the EES, please choose the special issue on Advances in Survival Analysis and the Co-Editor responsible for special issues. The special issue editors: Somnath Datta, University of Louisville, United States. E-mail: somnath.datta@louisville.edu Maria del Carmen Pardo, Complutense University of Madrid, Spain. E-mail: mcapardo@mat.ucm.es Thomas Scheike, University of Copenhagen, Denmark. E-mail: ts@biostat.ku.dk Kam C. Yuen, The University of Hong Kong, Hong Kong. E-mail: kcyuen@hku.hk
Associate or Full Professor in Statistics and Biomedical Sciences
The Department of Statistics and the Division of Biomedical Sciences at theUniversity of California Riverside are seeking to hire a new faculty memberat the rank of Associate or Full Professor. The successful candidate will beappointed 50% in the Department of Statistics, College of Natural andAgricultural Sciences and 50% in the Division of Biomedical Sciences, Schoolof Medicine.We are looking for an accomplished research scientist in one or more of anumber of specific areas including: Discrete Data Analysis, High DimensionalData Analysis, Nonparametric Statistics, Survival Analysis, Image Analysis,or Functional Data Analysis.  The School of Medicine will initially beinvolved in community-based research requiring expertise in experimental andquasi-experimental designs, multivariate analysis, sampling, modeling,imputation and novel measurement approaches. Preference will be given tocandidates who have demonstrated excellence running an independentStatistics methodology research program, including development of, andparticipation in, externally funded research as a principal investigator orco-principal investigator, and experience with supporting medical dataanalyses. A strong teaching record, including doctoral student dissertationmentoring is als o desired. Finally, the successful candidate should becommitted to a collaborative approach to research within a medical school aswell as teaching at both the undergraduate as well as the graduate level.The new School of Medicine at UCR is the sixth University of CaliforniaMedical School and serves the rapidly growing and dynamic Inland SouthernCalifornia region by training a much-needed physician workforce andcatalyzing innovations in research, education, and healthcare delivery thatimprove the health of medically underserved populations. The Department ofStatistics was established in 1968 and resides in the College of Natural andAgricultural Sciences. The Departm ent of Statistics has a long tradition ofcollaborative research in the life sciences, which together with the Schoolof Medicine, provides an exceptional environment for interdisciplinaryresearch on a variety of health-related initiatives. The University ofCalifornia Riverside is situated in an historic citrus growing areasurrounded by mountain ranges. Riverside is about an hour away from skislopes, surfing, or hiking in mountain or desert environments, and housingin the area is very affordable. The campus is also located in a primeposition to take advantage of the other universities, research institutes,and biotech industries present in Southern California.Qualified candidates must have a Ph.D. in Statistics or Biostatistics or asimilar statistically-oriented discipline and qualify for a tenured facultyappointment at the University of California. Applications will be reviewedbeginning April 27, 2014, and the position will remain open until filled. UCRiverside is an Equal Opportunity/Affirmative Action employer.TO APPLY: Interested applicants should upload curriculum vitae, personalresearch statement, and statement describing teaching and 3-4 names ofindividuals who will be asked to provide letters of reference once a shortlist is developed to  https://aprecruit.ucr.edu/apply/JPF00127
Professor of Statistical Science, Bristol, UK
The University of Bristol seeks an outstanding candidate to appoint asProfessor of Statistical Science (Full Professor in the US system). Thesuccessful candidate will become a member of the Probability and StatisticsGroup within the School of Mathematics. We are seeking applicants who havedemonstrated, or shown potential for, the highest achievement in any area ofmainstream Statistics or cognate areas (e.g. applied probability, machinelearning, data science, biostatistics).The Professor of Statistical Science is expected to lead a researchprogramme of the highest international standard and will be expected tocontribute to the nurturing of research groups of academics, postdoctoralresearchers and graduate students, and to seek funding to grow such groups.The Professor will contribute to our existing comprehensive training inStatistical Science at both undergraduate and postgraduate levels. TheSchool also expects strong engagement with its collective leadership.The Probability and Statistics Group at the University of Bristol isinternationally recognised with interests spanning a broad range of areasand numerous collaborations with other disciplines. The School ofMathematics is one of the leading centres for research and teaching inmathematics in the UK. In addition to Probability and Statistics there aregroups working in Applied Mathematics and Pure Mathematics. In the 2008Research Assessment Exercise (RAE), Applied Mathematics ranked third, PureMathematics ranked joint fifth and Statistics ranked joint fourth in termsof grade-point average.The School has strong links with the Heilbronn Institute for MathematicalResearch, which supports activities in Probability and Statistics amongothers, funds a total of about 20 postdoctoral, and runs a co-ordinatedseries of seminars, research programmes, conferences and workshops.With a population of over 400,000, Bristol is the largest city in the SouthWest and the region’s leading centre for business, culture and education.Bristol recently came top in the 2013 MoneySuperMarket's "Quality of LivingIndex" ranking with the quote "Bristol beats other cities hands down" and in"The Sunday Times" "Best Places to Live in Britain" 2014.The School of Mathematics is a supporter of the LMS Good Practice Schemeaiming at advancing women's careers in mathematics and we thereforeparticularly welcome applications from women for this post. http://www.maths.bris.ac.uk/admin/life/women/In order to receive full attention, applications should be received by 12:00pm (i.e. midnight) on Friday 13th June 2014.It is expected that the final selection process will be held in the firsthalf of July 2014.To discuss any aspect of the post, please contact Professor ChristopheAndrieu, +44 (0)117 928 9134 or  c.andrieu@bristol.ac.ukAlternatively, please feel free to contact :Professor Noah Linden, Head of the School of Mathematics, +44 (0)117 9288633 or  hod-maths@bristol.ac.uk
Postdoctoral Research Assistant in Big Data for Single Cell Genomics
Applications are invited for a Postdoctoral Research Scientist in SingleCell Genomics to join a newly established Applied Statistical Genomicsresearch group headed by Dr Christopher Yau based at the Wellcome TrustCentre for Human Genetics. The research will focus on the development ofnovel statistical methodology for the analysis of large-scale single cellgenomics data and offers an opportunity to be at the analytical forefront ofinstitutional expansion in this area.The work will be supported by an Oxford-Stanford Big Data in Human HealthSeed Grant.The position would suit a candidate who is interested in developing a careerat the interface of Statistics and the Biosciences. Ideally, you will haveexperience of statistical methods development gained through a recentlyobtained (or soon to be) PhD (or equivalent) in a quantitative subject (e.g.mathematics, statistics, physics, engineering or computer science).Experience of Bayesian Statistics and machine learning techniques is highlydesirable as is evidence of prior experience of developing bioinformaticssoftware and/or analysing genomic data sets.You will be able to work as part of a team and independently and deliverresults to the required standard and schedule. You should also possess theability to organise and prioritise your own work with minimal supervisionand have excellent communication skills, both written and oral. The postwill involve interactions with collaborators from across multiple scientificareas.The post is fixed-term for 2 years in the first instance and funded by theWellcome Trust Institutional Strategic Support Fund.Please quote reference 112695 on all correspondence. You will be required toupload a CV and supporting statement as part of your online application.Only applications received before 12.00 midday on Wednesday 7 May 2014 willbe considered.For informal enquiries:   cyau@well.ox.ac.ukTo apply: https://www.recruit.ox.ac.uk/pls/hrisliverecruit/erq_jobspec_version_4.jobspec?p_id=112695
Doctorado en Estadística Genética en la Universidad de Heidelberg (Alemania)
The Institute of Medical Biometry and Informatics, University of Heidelberginvites applications for a funded PhD in Statistical Genetics. The positionis initially limited to three years, with a possible extension.You have a university degree at master level and optimally some workingexperience in the field of biostatistics. We expect interest in medicalresearch, strong cooperation skills as well as an interdisciplinarorientation. Previous experience in the analysis of genetic data, withrobust statistical methods and/or statistical consulting are an advantage.The focus of this position is the development and practical application ofstatistical methods for the analysis of genetic data, including geneticassociation and expression studies.Please send your complete application within two weeks electronically or bypost to:Prof. Dr. Meinhard Kieser , Institute of Medical Biometry and Informatics,Im Neuenheimer Feld 305 , 69120 Heidelberg,meinhard.kieser@imbi.uni-heidelberg.deFor more information, please contact PD Dr. Lorenzo, leader of theStatistical Genetics groupwww.biometrie.uni-heidelberg.de/StatisticalGeneticslorenzo@imbi.uni-heidelberg.de