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<h2>PhD position in bioinformatics/biostatistics at the Netherlands
Cancer Institute<br>
</h2>
<a
href="http://www.nki.nl/working-at-the-nki/vacature-biostatisticianbioinformatician-for-a-phd-position/"><a class="moz-txt-link-freetext" href="http://www.nki.nl/working-at-the-nki/vacature-biostatisticianbioinformatician-for-a-phd-position/">http://www.nki.nl/working-at-the-nki/vacature-biostatisticianbioinformatician-for-a-phd-position/</a></a><br>
<br>
<h2>Your function within the department</h2>
<p>The Netherlands Cancer Institute (NKI) in Amsterdam is a
Comprehensive Cancer Centre combining a hospital and research
laboratories in a single independent organization. The group of
Marjanka Schmidt works in Molecular Pathology, and Epidemiology
and Biostatistics, focussing on molecular and genetic breast
cancer epidemiology.<br>
<br>
We are looking for a PhD student to work on a project funded by
the Dutch Cancer Society. The main objective of the project is to
identify novel germline genetic variants associated with breast
cancer survival in specific tumour and treatment subgroups. We
make use of the large breast cancer series collated in the Breast
Cancer Association Consortium (BCAC) of >60 studies with
>80,000 breast cancer patients. These patients have been richly
characterised with data including genome-wide genetic, clinical
and epidemiological data. Analyses will involve statistical and
computational methods to combine these data with knowledge on
biological pathways, with the aim of identifying and interpreting
the genetic contribution to breast cancer survival.<br>
<br>
You are expected to provide state-of-the-art statistical and/or
bioinformatic expertise as an active and assertive collaborator.
This involves developing and implementing diverse statistical and
bioinformatic approaches to cover survival and (biological)
pathway analyses of large datasets, the identification of
prognostic and predictive biomarkers, and prognostication. You
have access to complementary expertise and tools from the
Computational Cancer Biology group led by Lodewyk Wessels and the
Biostatistics group led by Michael Hauptmann at the Netherlands
Cancer Institute, Amsterdam.</p>
<h2>Your profile</h2>
<p>We are looking for an enthusiastic, skilled, and proactive
statistician/bioinformatician who has the ability to facilitate
high quality science.<br>
<br>
Other requirements are:</p>
<ul>
<li>A MSc degree in (bio)statistics, bioinformatics, computer
science, mathematics, or physics, or equivalent qualifications;</li>
<li>Knowledge of statistical theory and methods;</li>
<li>Experience with statistical software (STATA or SAS); </li>
<li>Experience with programming and scripting languages (e.g. R,
Python);</li>
<li>Fluent in spoken and written English.</li>
</ul>
<h2>Your career opportunities and terms of employment</h2>
<p>Approximately 550 people work in the research laboratories.
Research discussions, lectures and seminars in English and a large
number of Dutch and non-Dutch postdocs, students and staff members
contribute to the stimulating and international atmosphere of the
Institute. We offer an inspiring and interactive research
environment, state-of-the-art facilities, training, a competitive
salary (including possibilities for tax-reduction) and housing
facilities in the vicinity of the Institute. The Institute is
located close to the city centre of Amsterdam and the
international Schiphol airport. <br>
<br>
The appointment will initially be for 4 years. The gross salary
per month is € 2.529,- to € 3.115,- according to the PhD (OIO)
scales and depends on previous experience. The terms of employment
will be in accordance with the CAO Ziekenhuizen (Collective Labour
Agreement for Hospitals).</p>
<h2>Interested?</h2>
For further information please consult our website: <a class="moz-txt-link-abbreviated" href="http://www.nki.nl">www.nki.nl</a> or
contact Marjanka Schmidt and/or Sander Canisius at <a class="moz-txt-link-abbreviated" href="mailto:mk.schmidt@nki.nl">mk.schmidt@nki.nl</a>
/s.canisius@nki.nl or +31 20 512 2767.<br>
<br>
The application deadline is <strong>13 December 2015</strong>.
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