36 cloud-computing-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Baylor College of Medicine in United States
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using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Successful
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Job Description Apply now Job Title: Postdoctoral Associate Division: Biochemistry Work Arrangement: Onsite only Location: Houston, TX Salary Range: $63,000 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The postdoctoral fellow will conduct independent and...
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research program integrates state-of-the-art genomic and molecular approaches—including ribosome profiling, CLIP-seq, single-cell multiomics, CUT&Tag, and long-read sequencing—to elucidate gene regulatory
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), keen attention to detail, and above-average communication and computer skills. The RTSS Core Lab interacts with other TXCH Cores on a daily basis, as well as with PACU, Surgery and Pathology
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with robots, computers, especiallyzed software and stereomicroscopes in addition to the genetic and molecular biology benches. Job Duties Conducts genetic screens using Drosophila disease models
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Houston Methodist Biomedical Ethics Program are seeking applicants for our full-time clinical ethics fellowship. This competitive, 2-year program offers the opportunity to train with the Center’s nationally
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intended for life science graduates from Immunology or Microbiology backgrounds, however, a graduate with background in Computer Science or Computational Biology will also be considered. The successful
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. Experience with computational analysis of NGS sequencing data and/or experience with mouse models is a plus. Job Duties Under the general direction of the PI: Design, plan, and conduct research experiments
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accessibility. Develop and maintain databases to organize and query genomic and microbiome data. Contribute to genome assembly, annotation, and comparative genomics analyses. Provide coding and computational
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analyzes multiomics datasets using established and novel computational pipelines (R, Python, or MATLAB). • Integrates multi-layered datasets (e.g., snRNA-seq with proteomics and metabolomics) to identify