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PhD in Bioinformatics, Computational Biology, Genetics, or a related field. 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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This can also include developing computational models of islet blood flow changes; advancing the use of contrast-enhanced ultrasound in ongoing clinical studies; developing and applying novel ultrasound contrast agents for imaging diagnostics or targeted drug delivery applications; and examining the link between islet blood flow changes and beta-cell electrical activity using intra-vital microscopy.
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Masters degree and 2 or more years of experience is necessary OR Ph. D. degree in computational biology, bioinformatics, biostatistics, computer science, or similar discipline. Masters degree and 2 or more years of experience is necessary OR Ph. D. degree in computational biology, bioinformatics, biostatistics, computer science, or similar discipline.
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Foster collaboration with other internal groups, including Computational Biology, Automation, Animal Facilities, Flow Cytometry, and Operations, to drive innovation and progress. Demonstrate proficiency in essential molecular and cellular biology techniques, e.g. real-time PCR, immunohistochemistry (IHC) and imaging, mammalian cell culture, lentiviral (LV), non-integrating lentiviral (NILV), and mRNbased gene delivery methods, ELISA, and flow cytometry.
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Solid understanding of principles and analytical methodologies in computational biology and bioinformatics. Caris Life Sciences is looking for a sharp, driven and goal oriented Bioinformatics Scientist to support our bioinformatics and statistical analysis leadership as well as novel biomarker discovery derived from Caris proprietary ADAPT Biotargeting SystemTM. These critical roles will work closely with our Bioinformatics & R&D teams to assist in designing experiments, analyzing complex clinical and translational data sets.
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Ph. D. in molecular biology, cell biology, virology, genetics, or a similar field with 5+ years of industry or postdoctoral experience. We are seeking a motivated and highly collaborative Senior Scientist to join FL101's growing team of experimental and computational scientists to build a first-in-class discovery and therapeutic platform.
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Have earned at least a Bachelors degree in the fields of biology, toxicology, chemistry, physics, geospatial science, geography, geosciences, limnology, environmental science, ecology, engineering, computer science, information science, mathematics, bioinformatics, statistics, computational biology, or a related field of study from an accredited university or college within the last 24 months and.
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Strong background in genomics, bioinformatics computer science, bacterial or viral genetics, and/or computational biology. Candidates must have completed a Bachelor's or Master's degree from an accredited US university, or international university of equivalent standard, in Bioinformatics, Computer Science (combined with experience or education in biology or bioinformatics), Computational Biology, Mathematics or a closely related area.
$65,000 - $117,500 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The center has strong thrusts in polymer design and upcycling, separations, synthetic biology and bioconversion, analytical sciences, computational modeling, and lignocellulosic chemistry and catalysis.
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Data science, computational biology and bioinformatics are a fundamentally important core discipline and integral part of the Translational Discovery group. Ph. D. degree in Biomedical Sciences, Bioinformatics, Computational Biology, or closely related field.
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The ideal candidate should have a Ph. D. in computational biology, bioinformatics, or a related field, with significant research experience in application of bioinformatics tools and methods for transcriptomics and proteomics.
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Teaching responsibilities may include participation in biomedical informatics and computational biology PhD and MS training programs, teaching informatics and data science courses in biomedical graduate programs, and mentoring of graduate and/or medical students.
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Collaborate with our computational biology team to architect and build production NGS pipelines using common bioinformatic tools, including samtools, fastqc, and bwa. Experience designing data pipelines for scientific data, including but not limited to molecular biology (qPCR, next-generation sequencing, etc) and/or chemistry data (targeted and non-targeted LC-MS/MS.
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The Center for Genetic Epidemiology is closely linked with the Departments of Population and Public Health Sciences, Translational Genomics, and Quantitative and Computational Biology (QCB.
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Wet bench and computational postdoctoral positions are available at ThePennsylvania State University ( to study RNA structure-function relationships under the supervision of Prof. Sarah Assmann (Department of Biology ( ) and Prof. Philip Bevilacqua (Department of Chemistry.
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