32 parallel-processing-bioinformatics Postdoctoral positions at Baylor College of Medicine
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Job Description Apply now Job Title: Postdoctoral Associate- Biostatistics and Mass Spectrometry Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up
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Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Bioinformatics, Computational Biology, Computer/Data Science, Statistics or a related field. Experience with
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Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Cheng Lab at Baylor College of Medicine is searching for highly motivated and talented post-doc candidates to work on Bioinformatics and Computational
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to automate bioinformatics process. Designs, develops and deploys robust workflows, as well as custom scripts to support the analysis of high-throughput NGS data. Minimum Qualifications MD or Ph.D. in
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epigenomics, metabolomics, single-cell technique, bioinformatics, genetic animal models, molecular and cellular biology, metabolic tracing, sophisticated virus tools, neurobehavior, opto/chemogenetics, in vivo
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are seeking a highly motivated and independent scientist with a strong background in cancer immunology and bioinformatics, particularly single-cell transcriptomic analysis and dimensionality reduction
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knowledge of intestinal biology and bioinformatic analysis pipelines and be able to creative think. A desire to join and work with a large highly collaborative research team exploring human intestinal biology
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immunology, flow cytometry, and or cellular metabolism, and should have a strong foundation in bioinformatic analysis. (Examples of previous work includes PMID 35169026, 35256539, 32125282). The position is
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, and mouse models combined with multiple-omics and bioinformatics analysis. We are particularly interested in metabolic diseases research including MASH and MASLD/MASH related HCC. We are particularly
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. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications A Ph.D. in Genetics, Bioinformatics, Computational Biology, or a related field. Strong background