[CPM-SPIRE-L] Fwd: A call for recruits and collaborations for a new Centre for Genome Translation in Sheffield, UK

Zsuzsanna Lipták zsuzsanna.liptak at univr.it
Wed Apr 1 02:32:41 PDT 2015


Different job opportunities in bioinformatics (postdoc, programming, and
graduate student) in great new bioinformatics lab in Sheffield, UK
(previously Harvard, US). (Watch the online presentation by Win Hide of his
new lab.)
- Best,
Zsuzsanna Lipták


---------- Forwarded message ----------
From: Winston A Hide <winhide at sheffield.ac.uk>
Date: 1 April 2015 at 03:05
Subject: A call for recruits and collaborations for a new Centre for Genome
Translation in Sheffield, UK
To:



Dear friends,

Please forgive for this mass email. My lab is relocating from Harvard to
Sheffield and we are hiring. I would be in your debt if you
forward/post the call for expertise below to your relevant institutional
lists and people.

With thanks for being part of this work we all care about so much.

Win



*Postdoctoral, Programming and Graduate Student opportunities in
Computational Systems Biology at Sheffield*

The Hide Lab <https://hidelab.wordpress.com/>  https://hidelab.wordpress.com is
recruiting programmers, postdoctoral fellows and graduate students to a set
of new and well established projects that are part of our new Centre for
Genome Translation.

Please go the positions <https://hidelab.wordpress.com/positions/> available
<https://hidelab.wordpress.com/positions/> at the website to learn more.

The lab has relocated from Harvard School of Public Health to the Centre
for Genome Translation at the Sheffield Institute for Translational
Neuroscience <http://sitran.dept.shef.ac.uk/> (SITraN); a purpose built
research facility which was opened in November 2010 by Her Majesty the
Queen. The Institute houses computational, clinical and basic scientists
with a focus on neurodegenerative disorders such as Motor Neurone Disease
(MND), Alzheimer’s Disease and Parkinson’s disease.

Successful candidates will be joining a global team working on best
practice computational systems genetics approaches and discovery in genome
translation - literally working with the best clinicians, machine learning
experts, genome scientists, wet lab scientists and a global bioinformatics
team to deliver new interventions against lethal neurodegenerative
diseases in an environment where there is access to thousands of whole
human genome sequences and associated phenotypes. We use systems approaches
to integrate across genome-wide analyses of variation  found within human
genomes in meaningful new ways with quantitative functional and clinical
phenotypes

*Postdocs**:* A PhD in an appropriate field.  Strong programming skills;
strong oral and written communication skills in English; Strong  knowledge
of biology. Track record of excellence in publications. Ability to
develop creative powerful methods that solve complex integrative problems
in computational systems biology. Strength in mathematics and biology. Ability
to co-ordinate and take part in collaborations. Motivation to make
meaningful translatable discoveries that will yield actionable results. You
can build molecular  networks from high-content genome-wide data, you are
familiar with genome variant data and can assess the value of gene -
disease prioritisation approaches, you are comfortable with developing
 prediction of intervention approaches by application of therapeutics.

*Graduate students*: You have a high calibre Masters degree (or equivalent
qualification) in computational biology, biomedical research, genomics,
computer science, mathematics, biostatistics, systems biology or
combination of these. You have a strong biological background, and are
skilled in scripting with demonstrated understanding of working together
with biomedical researchers and quantitative  biologists. You are confident
in aspects of data integration and are enthusiastic about construction and
analysis of biological networks and/or data integration. Highly
motivated, you wish to work in a stimulating, international,
scientific environment. You have excellent interpersonal, written and oral
communication skills and seek exposure to a diversity of
scientific projects.

*Programmers*: You have a combination of skills, with a strong emphasis
upon programming, but with an understanding of biology, some statistics,
and potentially machine learning. We welcome candidates with a desire and
demonstrated ability to learn new areas and a desire to develop code in a
global environment. Please include links to some of your previous code in
GitHub or another repository hosting service, as well as a cover letter
describing why this position interests you and how it fits your experience
and interests.

Sheffield is an awesome place to live - the people are kind, professional
and team oriented. The Peak district is within ten minutes and is a
wonderful place to relax. An online presentation
<https://www.youtube.com/watch?v=KwmWztDA-6Y> (minute 47:00) at the end of
my inaugural lists why this place is a great environment.

*Programming applicants and Post doctoral candidates *should send a C.V.
and statement of interest as one PDF document to winhide [at]
sheffield.ac.uk. Screening of applications begins immediately and will
continue until the positions are filled. The positions are expected to
start on or after April-May 2015.

*Enquiries:*
Interested candidates should in the first instance contact Prof. Winston
Hide on +44 114 222 22233 or by email winhide - at - sheffield.ac.uk

*Graduate student applicants:*
Please complete a University Postgraduate Research Application form
available from www.shef.ac.uk/postgraduate/research/apply
Please clearly state the prospective main supervisor in the respective box
and select (neuroscience) as the department.
-- 
Chair of Computational Biology
Sheffield Institute for Translational Neuroscience, Department of
Neuroscience
University of Sheffield. 385a Glossop Road, Sheffield, S10 2HQ
Adjunct Professor, Harvard School of Public Health
Principal Faculty, Harvard Stem Cell Institute.
+44 (0) 114 2222233 Skype winhide tw @winhide



-- 
-----------------------------------------------------------------------

Dr. Zsuzsanna Lipták - Assistant Professor
University of Verona, Dept. of Computer Science
Strada le Grazie, 15, I-37134 Verona, Italy

room: Ca' Vignal, 2, stanza 1.79
tel: +39 045 802-7032, fax: -7068
email: zsuzsanna.liptak at univr.it
web:  http://profs.scienze.univr.it/~liptak
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