IBS Italy

International Biometric Society - Italian region

Assegno di ricerca @Bicocca

È indetta la selezione per il conferimento di n.1 assegno di ricerca (settore scientifico-disciplinare MED/01 STATISTICA MEDICA) dal titolo: “DISEGNI DI STUDI INNOVATIVI E APPROCCI STATISTICI PER LO STUDIO DI BIOMARCATORI NELLA MEDICINA DI PRECISIONE” nell’ambito del progetto SIR-MIUR RBSI14LOVD (IDEA: Innovative DEsigns and statistical Approaches for biomarker development)
Il Centro di Biostatistica per l’Epidemiologia Clinica, Dipartimento di Medicina e Chirurgia, Università degli Studi di Milano-Bicocca (Monza) sta cercando un laureato in statistica, con un dottorato di ricerca attinente, nell’ambito del progetto SIR (IDEA: Innovative DEsigns and statistical Approaches for biomarker development).
L’attività del candidato si focalizzerà sulla metodologia di disegni di studio innovativi ed i relativi metodi statistici nella medicina di precisione, prevalentemente in presenza di outcome di sopravvivenza. In particolare il candidato si concentrerà su disegni di studio efficienti e sulla valutazione e validazione dei biomarcatori, per un loro utilizzo nella pratica clinica. Il lavoro metodologico sarà accompagnato e motivato da diverse applicazioni, in particolare nell’ambito delle Malattie Fibroproliferative Croniche.
Sede lavorativa: Centro di Biostatistica per l’Epidemiologia Clinica, Dipartimento di Medicina e Chirurgia, Università degli Studi di Milano-Bicocca, Monza.
Scadenza per la presentazione della domanda: 06 Dicembre 2017
Durata contratto: 1 anno (+1 rinnovabile)
Data inizio prevista: Gennaio 2018
Per informazioni scrivere a paola.rebora@unimib.it
Il bando è disponibile a questo indirizzo:

https://www.unimib.it/ateneo/gare-e-concorsi/cod-17a118

 

Bibliografia:
· Franca R, Rebora P, Basso G, Biondi A, Cazzaniga G, Crovella S, Decorti G, Fagioli F, Giarin E, Locatelli F, Poggi V, Valsecchi MG, Rabusin M. Glutathione S-transferase homozygous deletions and relapse in childhood acute lymphoblastic leukemia: a novel study design in a large Italian AIEOP cohort. Pharmacogenomics. 2012 Dec;13(16):1905-16. doi: 10.2217/pgs.12.169. ISSN: 14622416
· Rebora P, Valsecchi MG. Survival estimation in two-phase cohort studies with application to biomarkers evaluation. Stat Methods Med Res. 2014 May 19. pii: 0962280214534411.
· Rebora P, Antolini L, Glidden DV, Valsecchi MG. Crude incidence in two-phase designs in the presence of competing risks. BMC Med Res Methodol. 2016 Jan 11;16:5. doi: 10.1186/s12874-015-0103-1.
· Viazzi F, Rebora P, Giussani M, Orlando A, Stella A, Antolini L, Valsecchi MG, Pontremoli R, Genovesi S. Increased Serum Uric Acid Levels Blunt the Antihypertensive Efficacy of Lifestyle Modifications in Children at Cardiovascular Risk. Hypertension. 2016 May;67(5):934-40. doi: 10.1161/HYPERTENSIONAHA.115.06852. Epub 2016 Mar 28. ISSN: 0194-911X.

Rinnovo quota associativa 2018

E’ fin da ora possibile rinnovare la tua adesione alla Società Italiana di Biometria per l’anno 2018.

Il versamento della quota associativa per il 2018 deve essere effettuato entro il 20 Dicembre 2017, ma ti consigliamo di procedere quanto prima, entro il 20 Novembre 2017, per poter sfruttare la quota agevolata.

Le quote associative alla SIB per l’anno 2018 rimangono invariate e sono:

Pagamento entro

20 Novembre 2017

Pagamento entro

20 Dicembre 2017

Tipologia associativa (EURO) (EURO)
Socio Ordinario

Con accesso on-line a tutte le pubblicazioni IBS

 

70,00

 

85,00

Con copia cartacea di Biometrics 80,00 95,00
Con copia cartacea di JABES 80,00 95,00
Con copia cartacea di Biometrics+ JABES 90,00 110,00
Socio Studente*

Con accesso on-line a Biometrics, JABES e Biometric Bullettin

 

Free

 

Free

* Gli studenti dovranno inviare al tesoriere (rossella.miglio@unibo.it) la documentazione attestante il loro status.

 

Le quote associative dovranno essere versate mediante bonifico bancario.

Le coordinate bancarie su cui effettuare il versamento sono:

 

Banca: Unicredit 

Filiale: Via di Novoli, 85/I – Firenze 50127

Cc intestato a : Società Italiana di Biometria

IBAN: IT59X0200802847000400809758

BIC/SWIFT: UNCRITM1512

 

Onde evitare inconvenienti si prega di indicare correttamente:

1) nome e cognome del socio 2) a favore di: Società Italiana di Biometria 3) causale del versamento: quota associativa SIB 2018 (+ eventuale pubblicazione)

Si prega di verificare con accuratezza la cifra e la data del versamento, tenendo presente che la cifra indicata per la quota associativa si intende al netto delle spese di commissione bancaria.

 

Si chiede infine ai soci di informare il tesoriere dell’avvenuto pagamento con una e-mail contenente data del bonifico, cifra versata ed eventuali pubblicazioni richieste (rossella.miglio@unibo.it – Tel: 051 2098242).

Two Medical Statistician positions @ Liverpool

Here is the original post for two positions in Liverpool.

We are looking to recruit 2 Medical Statisticians. This is an opportunity to work in partnership with highly motivated researchers from a diverse range of disciplines and make a major contribution in the field.
These posts are part of a new recruitment drive to support the expansion in clinical and public health trials at Liverpool School of Tropical Medicine. You will have the opportunity to work in partnership with highly motivated researchers from a diverse range of disciplines and make a major contribution in the field. The School works on diseases that cause a high burden in low and middle income countries, which include HIV, malaria, tuberculosis, Neglected and Emerging Tropical Diseases and acute lower respiratory infections. We support phase II/III clinical trials of new diagnostics, drug treatments and vaccines and large scale global health trials evaluating strategies of health care delivery.
Further details of those posts can be found by visiting our website at: http://www.lstmed.ac.uk/vacancies

Assegno di ricerca a Brescia

E’ indetta la selezione per il conferimento di n.1 assegno di ricerca (settore scientifico-disciplinare MED/01 STATISTICA MEDICA) dal titolo: Analisi di dati relativi a progetti di prevenzione cardiovascolare e renale in soggetti sottoposti a terapie oncologiche o ad altre condizionidi rischio ed a progetti di valutazione e follow-up di pazienti cardiopatici.

Il candidato ideale ha esperienza in ambito di metodi statistici applicati a problemi di natura medica e sarà coinvolto nell’attività di ricerca del gruppo della Cardiologia degli Spedali di Brescia oltre ad altre potenziali collaborazioni.

Sede lavorativa: Unità di Biostatistica e Bioinformatica, Dipartimento Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Brescia.

Durata dell’assegno: 12 mesi.

Scadenza per la presentazione della domanda: 08/11/2017 ore 23:59.

Il bando è disponibile a questo indirizzo:

https://www.unibs.it/sites/default/files/ricerca/allegati/Bando%20PICA%20DSMC2017a007%20metra-calza.pdf

Postdoc position in Biostatistics in Oslo

One postdoc position is available at the Oslo Center for Biostatistics and Epidemiology, Department of Biostatistics, University of Oslo, see

https://www.jobbnorge.no/ledige-stillinger/stilling/141899/postdoctoral-research-fellowship-in-biostatistics

Mixed models or multilevel models are frequently being used in medical research to deal with observations that are somehow correlated. Typical examples being longitudinal studies with repeated responses and cross-sectional studies with clustered observations (e.g. patients nested within centers).
In the post-genomic era, we are more and more often faced with the problem that we have to deal with high-dimensional sets of explanatory variables, also within the framework of mixed models. However, many aspects of high-dimensional mixed models are still poorly understood. The aim of the current project is to investigate various aspects of such models and to contribute to an improved understanding of its capabilities. The project will be driven by problems in cancer research.

Applicants must hold a PhD degree in statistics/biostatistics or a related quantitative subject with proven competence in statistics. We are looking for candidates with a strong mathematical / statistical background. Some knowledge of penalized regression methods, e.g. the lasso, is an advantage.

More information Email: Magne.thoresen@medisin.uio.no

Duration: 26 months

Date of start: as soon as possible

Deadline for applications is 13.10.2017.

Lecturer in Munich

The Department of Infectious Diseases and Tropical Medicine at Munich University Hospital invites applications for the Munich based position of
“Lecturer/Research Fellow in Medical Statistics and Epidemiology”

More information is available at:

http://www.klinikum.uni-muenchen.de/Stellenanzeigen/download/medizin/Lecturer_-Tropeninstitut_-07_09_2017.pdf

70 anni della IBS

Oggi, 6 settembre 2017, ricorrono i 70 anni della International Biometric Society.

Anche la sezione italiana si unisce all’augurio del International Biometric Office che potete leggere al link seguente:

https://goo.gl/ieaaq4

 

Open positions @ University of Bristol

Two research posts for statistician with interests in evidence synthesis and advanced meta-analysis methods.
The closing date for applications is 23.59pm on Monday 26 June 2017.

 

The University of Bristol is committed to creating and sustaining a fully inclusive culture. We welcome applicants from all backgrounds and communities.
Please see below for a summary of each position. For full details please see http://www.bristol.ac.uk/jobs/find/ and search for the job number (ACAD102679 or ACAD102662). Applications should be made through the University of Bristol recruitment system.
Name, tel no and email details for informal contact/s: Dr Sofia Dias, 0117 928 7245, s.dias@bristol.ac.uk

ACAD102679 Research Associate/Senior Research Associate (£32,004-£36,001 (Grade I) / £36,001-£40,523 (Grade J))

This post offers an excellent opportunity for a keen researcher with an interest in advanced meta-analysis methods to develop and apply advanced statistical models in a range of clinical areas with complex data structures and multiple outcomes.
The successful applicant will be part of a team developing novel statistical models for the joint synthesis of multiple, related outcomes and applying them to real examples. The post holder will contribute to high impact statistical methodological work and gain experience of a wide range of Bayesian methods for synthesis and their application to different clinical areas such as mental health, liver disease, women’s health and food availability.
The post holder will be working closely with staff from the National Institute for Health and Care Excellence (NICE) Guidelines Technical Support Unit (TSU), which is part of the Multi-Parameter Evidence Synthesis research group in the School of Social and Community Medicine, where the post holder will be based (http://www.bristol.ac.uk/social-community-medicine/projects/mpes/nice/). Some of the examples used to apply the novel methods developed during this appointment will use data collected for NICE guidelines and these methods will in turn be used in future NICE guidelines.
The post holder will co-author peer-reviewed publication and conference presentations and will receive training in network meta-analysis and Win/OpenBUGS, if required. There will also be opportunities for external training in statistical methods and software required for the role, as well as the possibility to continue wider training in epidemiology, statistics and research methods, by taking advantage of the highly regarded short course programme run by the School (http://www.bristol.ac.uk/social-community-medicine/shortcourse/).
It is expected that applicants will have a good honours degree (2.1 or equivalent) and a Masters degree or equivalent experience in statistics or other relevant discipline for appointment at Research Associate level, and a PhD or equivalent experience for appointment at Senior Research Associate level.

ACAD102662 Senior Research Associate (£36,001 – £40,523 per annum)

This post offers an excellent opportunity for a keen researcher with an interest in advanced meta-analysis and Bayesian evidence synthesis methods to work on a range of applied and methodological projects within the National Institute for Health and Care Excellence (NICE) Guidelines Technical Support Unit (TSU), at the University of Bristol (http://www.bristol.ac.uk/social-community-medicine/projects/mpes/).
You will work in collaboration with others to support the use of advanced evidence synthesis methods in NICE guidelines and develop new methods, as required.
You will contribute to high impact statistical methodological work and directly influence policy-making, by collaborating with NICE and the multi-disciplinary teams responsible for guideline development directly influencing policy, whilst gaining experience of a wide range of Bayesian methods and their application to different clinical areas.
There will also be opportunities for external training in statistical methods and software required for the role, as well as the possibility to continue wider training in epidemiology, statistics and research methods by taking advantage of the short courses run by the School (http://www.bristol.ac.uk/social-community-medicine/shortcourse).
It is expected that you will have a good honours degree (2.1 or equivalent) and a PhD or a Masters degree with sufficient experience in a relevant discipline.
You will join the TSU team at the University of Bristol, and be part of the Multi-Parameter Evidence Synthesis (MPES) research group (http://www.bristol.ac.uk/social-community-medicine/projects/mpes/) working with Dr Sofia Dias and Dr Nicky Welton and other members of the MPES team.
You will have interests and experience in some or all of: network meta-analysis; Bayesian methods using WinBUGS or similar software; statistical programming using R or similar software and will possess excellent writing and communication skills.
The post is for a full-time position, but part-time work will be considered.

IBS Italy © 2016 email:info@ibs-italy.org