Computational Biologist New

7 days ago

Dubai, United Arab Emirates Jobted AE C2 Full time

We are currently looking for a Senior Computational Biologist, you will lead the in-silico discovery, modeling, and optimization of antibodies and novel binding proteins (e.g., nanobodies, affibodies, aptamers) tailored for rapid diagnostic test formats such as lateral flow assays and paper-based nucleic acid amplification systems. You will integrate structural bioinformatics and molecular simulation techniques to design high-affinity, high-specificity binders suited to point-of-care use. Key Responsibilities: - Binder Design & Optimization: - Perform in silico screening and affinity maturation of antibody candidates and alternative scaffolds for diagnostic use. - Design and optimize CDR regions using structure-guided and AI-based techniques. - Predict binding affinities and cross-reactivity using docking and molecular dynamics simulations. - Computational Pipeline Development: - Develop and manage scalable pipelines for antibody-antigen modeling, docking, and binder optimization. - Automate sequence-to-structure modeling and ML-based ranking of candida - Diagnostic Relevance: - Tailor designs for rapid test constraints such as surface immobilization, lateral flow compatibility, and low-resource settings. - Collaborate with wet-lab teams to iteratively test and refine computational designs. - Cross-functional Collaboration: - Work closely with protein engineering, assay development, and molecular biology teams. - Contribute to strategic decisions on antigen targets and binder formats Qualifications: ? PhD or Post Doc in Computational Biology, Structural Bioinformatics, Immunology, or related field with relevant industrial experience ? Proven experience in antibody modeling, protein structure prediction, and binder design. ? Proficiency in tools such as Rosetta, PyRosetta, AlphaFold, Schrödinger, MOE, HADDOCK, or AutoDock. ? Hands-on with bioinformatics libraries, and molecular modeling packages. ? Familiarity with next-gen antibody formats (scFv, VHH, DARPin, aptamer, etc.). ? Strong understanding of the biophysics of protein-protein interactions. Nice-to-Have: ? Background in omics data analysis, especially for target identification. ? Exposure to diagnostics workflows, particularly lateral flow assays or biosensors ? Experience in cloud-based or HPC environments for large-scale simulations.

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