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interpreting mass spectrometry and mass spectrometry imaging data. Git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs statistical analyses on large
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skills. Experience with cloud computing and big data analytics platforms. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. PD; SN Requisition ID: 23791 Apply now
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candidate will receive training in analyses of single-cell and bulk-tissue multi-omics data and be expected to participate in multiple projects involving design, implementation and integration of large-scale
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analysis, as well as familiarity with electronic health data, will be distinct advantages. Experience in large-scale machine learning modeling is also required. Strong writing and communication skills with
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statistical analyses on large datasets to provide biological insights. Integrates mass spectrometry imaging data with other multimodal imaging techniques (e.g., spatial transcriptomics) for comprehensive
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a related field. No experience required. Preferred Qualifications Prior experience with brain development, and/or cancer cell biology would be an asset. Experience with large-scale genomic data would
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associate to support an ethical, legal, and social implications (ELSI) analysis of the NSF funded study “Integrating Human-Derived Neural Networks and AI for Information Processing in Brain Organoids” under