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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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Demonstrated understanding of fundamental concepts in genetics/genomics, molecular and cellular biology, and bioinformatics. We are searching for a talented Bioinformatics Analyst to join our team.
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Qualifications:Minimum Education and Experience: The ideal candidate should have a PhD in plant breeding, genetics or related field, and skills/experience required to carry-out molecular breeding experiments using genomics, phenomics, and bioinformatics.
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We particularly seek individuals with expertise in genetic epidemiology, including statistical genetics, bioinformatics, and omics research, to integrate data at the genetic, neural, and behavioral levels.
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Degree or coursework in biology, biochemistry, genetics, cellular biology, bioengineering or bioinformatics. Upper level undergraduate or master’s courses in at least 2 of the following subjects: genetics, biochemistry, cell biology, or immunology.
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Contribute to grant writing and research proposal development to secure funding for citrus bioinformatics and genetics research initiatives. JOB DUTIES: GENERAL STATEMENT: This is a professional scientific position primarily responsible for leveraging bioinformatics tools and expertise in plant genetics to support research and development efforts in the Bureau of Citrus Budwood Registration, a program that assists growers and nurserymen in the production of horticulturally superior citrus nursery stock.
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Familiarity with eLN and/or LIMS systems Bioinformatics and statistics skills, including experience with Python or R Experience with reagent/buffer formulation, assay development, microbiology testing and/or HPV typing Job Hazards This position is subject to working with or have potential for exposure to infectious material, requiring medical clearance and immunizations.
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Recognized as a world leader in mapping and characterizing the genomic landscape of pediatric cancer, St Jude has developed state-of-art computational infrastructure, well-established analytical pipelines, and deep genomic analysis expertise with a track record both research and clinical application of NGS data as reflected in publications in top-tier biomedical journals such as Nature, NEJM, JAMA, Nature Genetics and Cancer Discovery.
$125,840 - $238,160 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We encourage applications from individuals studying all aspects of Cancer Biology including but not limited to cell/molecular biology of cancer, cancer genetics/genomics, cancer bioinformatics, developmental cancer and cancer disparities.
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An interdisciplinary approach is used that combines molecular genetics with behavioral analysis to understand the in vivo mechanism of memories at the level of individual circuits and their component cells.
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15+ years of combined laboratory leadership experience and knowledge in the following:Genomics and/or genetics including technology platforms, bioinformatics and somatic variant classification and functional interpretation of somatic variants according to established professional guidelines (e.g., AMP, ACMG, ASCO, NCCN or ESMO.
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The candidate is expected to possess hands-on experience with at least some (if not all) of the following laboratory skills: molecular cloning, plasmid construction, DNA sequencing, quantitative RT-PCR, RNA interference (RNAi)-based gene knockdown, and bioinformatics.
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The T-6 group (Theoretical Biology and Biophysics) in the Theoretical Division at Los Alamos National Laboratory (LANL) invites applications for a scientist in virology, epidemiology, bioinformatics, and molecular evolution, to begin as early as summer 2024.
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Data science at JAX is a transdisciplinary research ecosystem that brings together scientists from the fields of computational biology, systems biology, bioinformatics, and statistics to develop tools and data resources for interpreting large, complex data sets.
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The Bouhaddou lab (bouhaddoulab.org and is a Quantitative Systems Biology lab that opened in February 2023 as part of the Department of Microbiology, Immunology, and Molecular Genetics (MIMG) ( and Quantitative and Computational Biosciences Institute (QCBio) ( at the University of California Los Angeles (UCLA.
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