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Work with biologists on projects related to biochemistry and molecular biology, system and signal engineering, virology and microbiology, marine biology, and computational biology.
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Requirements and Qualifications Master's degree in Molecular Biology, Bioinformatics, Computer Science, or related field Demonstrated experience on research bioinformatics and/or computational biology projects - preference for ability to show evidence of this experience in publicly visible projects Strong Python, C.
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PhD in computational chemistry, computational biology, computational chemical biology, or related field. 1+ year of experience applying computational methods to drug discovery and small molecule design as a member of therapeutic project teams.
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Keep abreast of scientific developments and interact with internal and external scientists to integrate novel insights into computational approaches for drug discovery. Develop, improve and implement efficient computational workflows that can be distributed to our global CADD team.
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Candidates should have a doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ master's degree with at least 5-7 years/BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.
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To work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
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Hold an MSc or PhD degree in computational biology, bioinformatics or a related field. Experience building reproducible and scalable computational biology workflows. Projects may include designing large-scale scientific workflows for mining public and unique in-house data; developing novel systems biology and structural biology computational methods, tools and algorithms; and/or designing, training and fine-tuning best-in-class machine learning models.
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Expertise in medicinal chemistry principles, cheminformatics, ADME, ML/AI and structure-based drug discovery. Expert proficiency in one or more commercial drug discovery platform such as ICM, Schrödinger, CCG and/or OpenEye.
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As a part of the Center of Excellence for Data-Driven Discovery in the Department of Structural Biology at St. Jude Children’s Research Hospital, the Babu Group seeks a highly driven, full-time Postdoctoral Research Associate to develop computational pipelines and machine learning approaches to quantify obesity risk and predict its effects by leveraging large-scale omics data.
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An advanced degree (master’s or doctoral) in a quantitative field, including but not limited to Computational Biology, Computer Science, Data Science, Applied Mathematics/Statistics, all relevant engineering and science disciplines.
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Proven leadership experience in bioinformatics, computational biology, or software engineering, preferably in the biotechnology or pharmaceutical industry. PhD or equivalent advanced degree in Bioinformatics, Computational Biology, Computer Science, or a related field.
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Preferred: PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Advanced degree (e.g. M.Sc., PhD) in a field related to AI/ML or Data Analytics such as: Computer Science, Mathematics, Statistics, Physics, Biophysics, Computational Biology or Engineering Sciences.
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PhD in Computational Biology, Bioinformatics, Biophysics, or a related discipline. Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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Computational biology/computational image processing Molecular biology Optical Microscopy. Applicants should have completed a Ph. D. or is nearing completion of a Ph. D. in bioengineering, biomedical engineering, biophysics, machine learning, electrical engineering, neuroscience, neurobiology, optics, molecular or cell biology, or related fields with a strong experimental background, academic history, and publication record.
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