[SocBiN] Fwd: FW: Post docposition available, Please inform possible candidates

[Rune Linding]

---------- Forwarded message ----------
From: Anne-Lise Børresen-Dale <a.l.borresen-dale at medisin.uio.no>
Date: Sun, Feb 8, 2015 at 8:09 PM
Subject: FW: Post docposition available, Please inform possible candidates
To: Rune Linding <linding at lindinglab.org>




 *Postdoctoral research fellow in biostatistics/bioinformatics *



Position as postdoctoral fellow available for three years at Department of
Genetics, Institute for Cancer Research, Norwegian Radium Hospital, Oslo,
Norway



*Research environment *



Institute for Cancer Research has since its foundation in 1954 played a
central role within the field of cancer research both in Norway as well as
internationally. The Institute has six research departments, a core
facility and more than 320 employees, master students included. About 70%
of the employees and projects are externally funded.



Department of Genetics consists of four major research groups which include
five project groups. The department is headed by Professor Anne-Lise
Børresen-Dale, who is also leading a K.G. JebsenCenter for Breast Cancer
Research. The main research area of the department is on molecular biology
and functional genomics of breast cancer to understand breast cancer
progression and identify prognostic and predictive markers. In addition,
one group is focusing on lung and pancreatic cancer. The department
possesses large bio-banks of human tumor and blood samples and has long
standing expertise in genome-wide technologies for the analysis of DNA, RNA
and proteins.

http://www.ous-research.no/genetics/



Oslo centre for biostatistics and epidemiology (OCBE) includes staff from
University of Oslo and Oslo University Hospital and includes several
professors, researchers, post-doctoral fellows and PhD students, making up
a group of about 50. OCBE is internationally recognized, with interests
spanning a broad range of areas of modern statistics and numerous
collaborations with leading bio-medical research groups nationally and
internationally. OCBE will have a major role in the recently funded
prestigious centre for research-based innovation Big Insight, a consortium
of academic, industrial and public partners. Big Insight will develop
original statistical and machine learning methodologies and deep analytical
tools to extract knowledge from complex and big data, with focus on two
central themes: novel personalized solutions and sharper predictions of
transient dynamics.



*Project information *

The post doctoral project is centered on development and progression of
breast cancer using large scale genomic data from human tumor samples and
mouse models. Such data include gene expression, copy number (SNP) and
methylation data from microarray analysis of tumor samples ranging from
benign lesions to invasive breast cancer, as well as targeted and exome
sequencing data. The aim is to increase our understanding of how breast
lesions develop and progress from the pre-invasive state and to the more
aggressive invasive tumor stages and to identify markers of potentially
clinical usefulness.

The appointed candidate will be working in the group headed by Dr. Therese
Sørlie, http://www.ousresearch.no/sorlie/ . Co-supervisor will be Professor
Arnoldo Frigessi, (OCBE)
http://www.med.uio.no/imb/english/people/aca/frigessi/. In addition to own
projects, the candidate is expected to supervise and contribute in the
projects of other group members.



*Required professional and personal skills *

The candidate must have a PhD in statistics, mathematics, bioinformatics or
other relevant science with a significant and documented competence in
biostatistics. Experience with genomics data is necessary. The candidate
must have full proficiency with some statistical software and language like
R or plink. Knowledge of programming languages like C or Python is an
advantage, but not necessary. Competence and/or experience with high
dimensional data, multiple comparison, and dimension reduction is also an
advantage. We are looking for a young researcher who has the interest in
both developing new methods and analysis pipelines for high dimensional
data and applying state of the art methods.



The candidate is expected to work together with other scientists in a team.
We will welcome a highly motivated and dedicated candidate, with the
ability to work independently, but with good communication skills and who
performs well in a team. Proficiency in the English language is a
prerequisite.



*We offer *

 A challenging and friendly working environment  Favorable pension
arrangement  Attractive welfare arrangements  Salary NOK 491 000 - 530 000
p. y. depending on qualifications

*Application should include: *

Cover letter including motivation for the position

CV (summarizing education, positions and academic work)

Copies of educational certificates (PhD diploma) and letters of
recommendation

List of publications and academic work that the applicant wishes to be
considered

Contact information for two references

Foreign applicants should be prepared to provide an explanation of their
diploma if needed. Please note that all documents should be in English or a
Scandinavian language.

According to the Norwegian Freedom of Information Act (offentleglova)
information about the applicant may be included in the public applicant
list.



*Application deadline: 15.03.2015 *

Project start: July 2015

Contacts:

Principal investigator: Therese Sørlie, tsorlie at rr-research.no, tel. +47
22781364,

Co-supervisor Arnoldo Frigessi: arnoldo.frigessi at medisin.uio.no

Administrative coordinator: Gry Geitvik, gryge at rr-research.no, TEL. +47
22781374
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