Computational Systems Biology Postdoc at Institut Curie: Machine learning and statistical analysis of multi-level cancer omics data

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<p>institut Curie</p><p>26 rue d&#39;Ulm</p><p>75005 PARIS</p>

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<p style="margin-left:7.1pt;"><strong>Context</strong></p><p style="margin-left:7.1pt;">Institut Curie is one of the biggest European institutions for cancer research with strong and old interdisciplinary traditions. It also comprises a hospital specialized in cancer treatment, and therefore dispose of a continuum of expertise from fundamental research to patient care. It is located in the centre of Paris in a both cultural and scientific rich environment (<a href=""></a&gt;).</p><p style="margin-left:7.1pt;">The &quot;Bioinformatics and Computational Systems Biology of Cancer&quot; Unit (U900 INSERM, Mines ParisTech, Institut Curie) involves about 90 researchers and students. It is a very active and growing interdisciplinary team of biologists, physicians, mathematicians, statisticians, physicists and computer scientists (<a href=""></a&gt;). &nbsp;Our research group focuses on deciphering determinants of tumorigenesis and tumor progression and proposing new strategies to combat cancer. The domains of expertise are big data analysis; signaling network construction and mathematical modeling; study of synthetic interactions in cancer mechanisms, drug response prediction, patient stratification and many others (<a href=""></a&gt;).</p><p style="margin-left:7.1pt;">The group has long term experience in implementing scientific methodology of data and biological network analysis into user-friendly software packages, currently used by other researchers world-wide (the list of developed software can be found at <a href=""></a&gt;).</p><p style="margin-left:7.1pt;">&nbsp;</p><p style="margin-left:7.1pt;"><strong>Job description and skills</strong></p><p style="margin-left:7.1pt;">We expect a candidate with a strong background in statistics, machine learning, computational systems biology or physics. The successful candidate should have experience in high-throughput data analysis in biology.</p><p style="margin-left:7.1pt;">Ideally, the candidate should be able to demonstrate some knowledge of basic biological mechanisms involved in cancer and have experience of collaboration with biologists for solving concrete biological problems. He/she will have to understand the biological and clinical questions related to cell fate decision, tumor heterogeneity, interaction with microenvironment, drug response; define the most appropriate statistical and/or machine learning approaches; carry out the analyses and discuss the results with biologists or clinicians.</p><p style="margin-left:7.1pt;">The candidate must have a good knowledge in multidimensional data analysis in biology, and be proficient in high-level languages like R, Java, Python or Perl. Familiarity and experience with existing systems biology methods and software would represent a strong advantage.</p><p style="margin-left:7.1pt;">Excellent communication skills and team spirit, and a capacity to work in autonomy are essential.</p><p style="margin-left:7.1pt;">Fluent English both spoken and written is required.</p><p style="margin-left:7.1pt;"><strong>Degree</strong>: <strong>PhD level in computer science, bioinformatics or systems biology</strong></p><p style="margin-left:7.1pt;"><strong>Send CV, motivation letter, and contact details of 3 references to </strong><a href="">recruitment.U900-SYSBIO@curie…; and indicate as subject the reference SB18B-DA</p><br/>
Laboratoire: U900 institut Curie - INSERM - PSL Research University / Mines ParisTech