<div dir="ltr">If you have strong interest in one of the following areas, please continue to read and check the link for more details. <div><br></div><div>1. Developing new algorithms to revolutionize biologics discovery</div><div>2. Challenging yourself with large and unique datasets and converting your learnings to tools/products that can help patients</div><div>3. Engineering of antibody, nanobody, and other biotherapeutics modalities</div><div>4. Learning how scientists from various training backgrounds collaborate together to discover and deliver faster and better biologics treatments.<br><br><div class="gmail_quote"><div lang="EN-US" link="blue" vlink="purple"><div><p class="MsoNormal"><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black;background:white"><u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black;background:white">The Protein Engineering group within Sanofi Large Molecule Research Department is seeking a highly talented Computational Scientist for a postdoctoral
 position. We use leading-edge structural biology and computational tools to support biologics project needs from Sanofi’s multi-targeting, multi-modality research pipeline. Our team has a great track record of patents and publications, including Science, Nature
 Cancer, and Nature Communications, in the area of biologics characterization, antibody engineering and multi-specific antibodies. This postdoc project will focus on developing a machine learning approach to predict epitope-paratope, given any antibody-antigen
 pair, by combining in-depth understanding of structure biology, antibody engineering, and large datasets both internally and externally. The successful candidate will be with Ph. D. degree in related area and has an advanced understanding and practical experience
 with developing and applying complex machine learning solutions for structural biology data. The successful candidate
</span><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif">will gain deeper insight into drug development process and transform AI/ML algorithms into accelerating biologics discovery and development process.
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<p class="MsoNormal"><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black;background:white">Application Link:
</span><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"><a href="https://sanofi.wd3.myworkdayjobs.com/en-US/StudentPrograms/job/Framingham-MA/Sanofi-Postdoctoral-Fellowship--Computational-Scientist-for-Antibody-Engineering--Framingham--MA-_R2552646" target="_blank">https://sanofi.wd3.myworkdayjobs.com/en-US/StudentPrograms/job/Framingham-MA/Sanofi-Postdoctoral-Fellowship--Computational-Scientist-for-Antibody-Engineering--Framingham--MA-_R2552646</a>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black;background:white">About Sanofi:</span></b><b><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;background:white"><u></u><u></u></span></b></p>
<p class="MsoNormal"><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif;color:black;background:white">Every day, Sanofi&#39;s 100,000 employees are committed to improve the lives of people around the world, with sustainable and responsible solutions
 and initiatives. Sanofi is recognized as one of the leading biopharmaceutical companies in the world and is pioneering innovation in biologics with the first approved nanobody drug, the first clinical stage tri-specific antibody, and a novel genetic codon
 expansion platform for new engineering capabilities. Details of the organization and the company’s mission and goals can be found on our website (</span><span style="font-size:12.0pt;font-family:&quot;Times New Roman&quot;,serif"><a href="http://www.sanofi.us/l/us/en/index.jsp" target="_blank"><span style="background:white">http://www.sanofi.us/l/us/en/index.jsp</span></a><span style="color:black;background:white">).</span><span style="background:white"><u></u><u></u></span></span></p>
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</div><br clear="all"><div><br></div>-- <br><div dir="ltr" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div>Yanfeng Zhou, Ph.D.<br><br>Email: <a href="mailto:yanfengzhou.pku@gmail.com" target="_blank">YanfengZhou.pku@gmail.com</a></div></div></div></div></div></div></div>