35 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" "UCL" research jobs at Baylor College of Medicine
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formats as appropriate). Analyzes and integrates multi-modal genomic datasets using computational approaches (with access to robust HPC resources). Evaluates data to plan subsequent stages of projects and
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data analysis using next-generation sequencing platforms (e.g., whole-genome, whole-exome, long-read sequencing). Develops, optimizes, and applies computational or laboratory pipelines for genomic data
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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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protein expression and purification, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. Salary will be commensurate with the candidate's experience and
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with the PI and other group members. Refines their independent project, and be responsible for analytic design and carrying out computational/bioinformatic strategies. Takes lead in writing scientific
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, biochemical, and other molecular approaches. This will require working with robots, computers, specialized software, and stereomicroscopes in addition to the genetic and molecular biology benches. Baylor
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in protein expression and purification, enzyme kinetics, drug design, X-ray crystallography, single-particle cryoEM, and computational biology. Salary will be commensurate with the candidate's
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Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. in Biology, Immunology, Computer Science, or Bioinformatics. Strong
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, optimizes, and applies computational or laboratory pipelines for genomic data processing and quality control. Interprets genomic variants and contribute to functional and translational genomics studies
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organoids/spheroids and support in vivo therapeutic testing. Collaborates with experimental biologists, computational biologists, and clinicians to drive mechanistic and translational outputs. Prepares