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Research Specialist D/Computational Scientist (Machine Biology Group) Strong proficiency in computational biology, including genomics, transcriptomics, and proteomics data analysis.
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Utilize expertise in computational biology, machine learning, and bioinformatics to develop and optimize algorithms and models for the analysis of high-dimensional biological data. A Ph. D. or equivalent in computational biology, bioinformatics, machine learning, or a related field is preferred.
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Posted Job Title Research Specialist D/Computational Scientist (Machine Biology Group) Job Profile Title Research Specialist D Job Description Summary We are seeking a highly motivated and experienced individual to help coordinate the computational core within the Machine Biology Group/de la Fuente Lab. As the Computational Core Scientist, the candidate will play a pivotal role in advancing our cutting-edge research at the intersection of computational biology and ground-truth experimentation.
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The Department of Ophthalmology at the University of Pennsylvania is hiring 1-2 Research Specialists to conduct research at the intersection of functional genomics, computational biology, and neuroscience.
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Requirements:PhD in Bioinformatics, Computational Biology, Genetics, or a related field. Responsibilities:Clinical Genomic Data Analysis and Interpretation:Perform bioinformatics analysis of genomic data obtained from clinical samples, including next-generation sequencing (NGS) data, microarray data, and other relevant data types.
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Ph. D. in Computational Biology, Biostatistics, or a related field. This position will be focused on the bioinformatics collaborations in Oncology clinical trials and will thus play a crucial role in analyzing large-scale genomic and clinical datasets to uncover insights into cancer biology and treatment response.
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Additional collaborative opportunities are available with science faculty affiliated with the center of computational & integrative biology, physics, computer science, mathematics, forensic science and biology.
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Candidates should have experimental research interests that could include, but would not be limited to, energy, photovoltaics, sustainable inorganic reactions, catalysis, bioinorganic chemistry, metalloenzymes, metals in biology, and/or organometallic chemistry.
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Qualifications: Required Ph. D. in Bioinformatics, Computational Biology, or a related field with a strong biological background. To support our explosive growth, we are looking for strong bioinformatics/computational biology programmers and scientists to join our team of seasoned drug hunters.
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The individual will work closely with Laboratory Operations, Computational Biology, and other stakeholders to enhance the efficiency and functionality of multiple laboratory systems. Oversee the operational activities and SDLC management of critical systems such as LIMS, ELN, LES, QMS, and instrument workstation applications, encompassing end-user support, compliance sustainability, monitoring, patch/release management, backup/recovery, administration, troubleshooting, change control, deviation/CAPA management, and issue resolution.
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Expertise is required in the specific area of human genetics, including statistical genetics, computational biology, pharmacogenetics/genomics, functional genomics, genome editing, structural variation analysis, kidney genetics and familiarity with studies addressing translational genomic medicine.
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Data preparation, analysis and visualization utilizing programming and scripting using R, Python and SQL. Administrator for multiple laboratory information systems, middleware and vendor systems responsible for, but not limited to; systems analysis, user account management, rules, test/order choice menus, barcode/printer management, report templates, statistical/ad hoc reports and other system-wide settings.
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