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class="job__title"><h1 class="section-header section-header--large font-primary">Computational Scientist, Protein Library Design</h1><div class="job__location"><svg class="svg-icon" fill="none" height="1.25rem" width="1.25rem" viewBox="0 0 24 24" xmlns="http://www.w3.org/2000/svg"><path class="icon--dark-green" d="M6.46958 3.811C7.93571 2.34217 9.92464 1.51493 12 1.5108C14.0742 1.51589 16.0619 2.34321 17.5272 3.81142C18.9925 5.27962 19.8158 7.26891 19.8168 9.3432C19.8168 13.3404 15.9936 18.5304 13.9368 21.3192C13.8837 21.3917 13.8319 21.4624 13.7815 21.5311C13.6111 21.7637 13.457 21.9739 13.3236 22.1592C13.1956 22.3393 13.0267 22.4865 12.8308 22.5887C12.635 22.6909 12.4177 22.7452 12.1968 22.7472H12.1776C11.96 22.7479 11.7453 22.6978 11.5505 22.601C11.3558 22.5041 11.1863 22.3631 11.0556 22.1892C10.9602 22.0626 10.8535 21.9241 10.7381 21.7742C10.6981 21.7223 10.6571 21.669 10.6152 21.6144L10.6086 21.6059C8.51808 18.881 4.17957 13.2259 4.17957 9.3456C4.17988 7.27027 5.00345 5.27983 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style="font-weight: 400;">in vivo </span></em><span style="font-weight: 400;">from the beginning of our discovery process. This unique platform is powered by a proprietary protein barcoding technology that allows multiplexed protein quantitation at unprecedented scale and sensitivity. We combine this and other high-throughput protein engineering approaches with computational design to create antibody-like drugs and other biologics.</span><strong> </strong><span style="font-weight: 400;">Our world-class team of protein engineers, biologists, and computational scientists are working together to aim the platform at therapeutic opportunities where precise targeting is the key to overcoming clinical challenges. </span></p></div><div><p><strong>Position</strong></p> <p><strong>Manifold Bio is seeking an exceptional Computational Scientist to join our growing Compute team.</strong><span style="font-weight: 400;"> You will work closely with experimental and hybrid scientists to design and analyze highly multiplexed protein library experiments. Your efforts will contribute to advancing our protein barcoding platform and the design of novel protein therapeutics. You will be expected to own and independently advance projects in areas related to your deep expertise such as protein design, DNA library design, or machine learning/biophysical modeling from MPRA data. You will work closely with our CSO and our other computational scientists to onboard new capabilities that advance the M-Design platform for data-driven engineering of drugs with desired properties.</span></p> <p> </p> <p><strong>Responsibilities</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Work closely with Manifold鈥檚 scientific teams to design maximally informative protein libraries</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Collaborate on designing high-throughput experiments and analyze/interpret results</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Perform data analysis to identify patterns in the mapping from sequence to function</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Create tools, algorithms, models, and data pipelines to support our Compute and experimental teams</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Proactively share your findings with colleagues through high-quality documentation and discussions</span></li> </ul> <p> </p> <p><strong>Qualifications</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, genomics, systems/synthetic biology, protein engineering, or a similar field working with biological sequences or systems; wet lab experience is a plus</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">First-hand experience with any of the following: DNA/Protein sequence analysis, computational protein design, probabilistic modeling, machine learning, biophysical modeling, or antibody design</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with the design and analysis of massively parallel reporter assays (MPRAs)</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience designing DNA libraries for binders, DMS, or equivalent high-throughput experiments</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience working with Next Generation Sequencing (NGS) data</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Strong understanding of statistics fundamentals</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Fluency in one or more programming languages, Python preferred</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Basic familiarity with version control, test-driven development, and Unix computing</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to meet the demands of multiple concurrent projects in a fast-paced research environment</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Outstanding written and verbal communication skills</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">A deep passion for science and developing new methods</span></li> </ul></div><div><p><strong><span style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; letter-spacing: normal; text-align: start; white-space: normal; word-spacing: 0px; text-decoration: none;">Benefits</span></strong></p> <p><em style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-weight: 400; letter-spacing: normal; text-align: start; white-space: normal; word-spacing: 0px; text-decoration: none;"> Highly competitive additional benefits package across healthcare, paid time off, commuter benefits, and company-provided lunch every day.</em></p> <p><em style="color: rgb(34, 34, 34); font-family: Arial, Helvetica, sans-serif; font-weight: 400; letter-spacing: normal; text-align: start; white-space: normal; word-spacing: 0px; text-decoration: none;"><em><span style="font-weight: 400;">We value different experiences and ways of thinking and believe the most talented teams are built by bringing together people of diverse cultures, genders, and backgrounds.</span></em></em></p></div></div></div><div class="divider" role="separator"></div><div class="application--container"><div class="application--header"><div class="application--header--text"><div class="application--header--title"><h2 class="section-header font-primary">Apply for this job</h2></div><div class="application--header--required"><div class="application--header--required--asterisk"><p class="body body__secondary">*</p></div><p class="body body__secondary">indicates a required field</p></div></div></div><form id="application-form" class="application--form" action="/manifoldbio/jobs/4020539007?gh_src=d83ffb087us" method="get"><div class="application--questions"><div><div class="text-input-wrapper"><div class="input-wrapper"><label id="first_name-label" for="first_name" class="label label">First Name<span aria-hidden="true">*</span></label><input id="first_name" class="input input__single-line" aria-label="First 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