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<p class="MsoNormal">Begin forwarded message:<o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">From: </span></b><span style="font-family:"Helvetica Neue"">"Braun, David" <<a href="mailto:david.braun@yale.edu">david.braun@yale.edu</a>></span><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">Subject: Computational biology postgrad opportunity in my lab (Yale)</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Helvetica Neue"">Date: </span></b><span style="font-family:"Helvetica Neue"">January 24, 2022 at 5:37:37 PM EST</span><o:p></o:p></p>
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<strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">Postgraduate position computational biology / bioinformatics position in the Yale Cancer Center (Braun Lab)</span></strong><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">The Braun Lab (Yale Center of Molecular and Cellular Oncology / Yale Cancer Center / Yale School of Medicine) is seeking a highly motivated, computationally-focused postgraduate with an
interested in cancer immunotherapy and immunogenomics to join our translational research team.</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">Our laboratory aims to understand the key determinants of effective anti-tumor immunity, utilizing high-dimensional analytic tools and patient-derived models to study human tumors. We
have focused our efforts on renal cell carcinoma (kidney cancer), and our work has helped to elucidate genetic and immunologic features that impact response to immune checkpoint inhibitors (Braun, Nature Medicine, 2020) and to define the immunologic changes
that occur with progression to advanced disease (Braun, Cancer Cell, 2021). We now aim to understand the antigenic and immune microenvironmental features that determine why kidney cancers respond or a resistant to current immunotherapies, and to create patient-derived
pre-clinical models to aid the development of novel immunotherapy approaches in this disease (Braun, Nature Reviews Clinical Oncology, 2021).</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">The ideal candidate will have a strong background in computer/data science (including statistics), knowledge of R and python, experience with high performance computing clusters, be collaborative
in nature, an independent learning, be able to problem solve, and have outstanding oral and written communication skills.</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">1. Training:</span></strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222"> Postgraduates will develop skillsets in bulk and single-cell genomic analysis,
the creation and maintenance of computational pipelines for immunogenomic analysis (including T cell receptor sequencing analysis and prediction of tumor antigens).</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">2. Mentoring:</span></strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222"> The BraunLab is committed to mentoring postgraduates, and the Principal Investigator
(PI) has a track record of postgraduate mentees ultimately going to medical school or other professional schools. The postgraduate would meet at least weekly with the PI, with additional dedicated meetings for mentoring and career development.</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">3. Education / Qualifications:</span></strong><span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222"> Applicants should be highly motivated, able to work well
in a multidisciplinary team, and have strong quantitative skills. A Bachelor’s degree is required at the time of starting the position, preferably in computer science, data scientist, computational biology, biostatistics, or the biological scientists (with
quantitative experience).</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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<span style="font-size:13.5pt;font-family:"Mallory",serif;color:#222222">Interested applicants should send a CV and contact information for 3 references to <a href="mailto:david.braun@yale.edu"><span style="color:#286DC0">david.braun@yale.edu</span></a>.</span><span style="font-size:10.5pt;font-family:Helvetica"><o:p></o:p></span></p>
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