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models and machine learning. Experience in epigenetics or gene regulation is a plus, and experience with statistical analysis tools such as R or Python is recommended (successful candidates will be
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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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Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Proficiency in Python, MATLAB, and R, combined with experience in signal and image
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/tools or machine learning algorithms. Good computer programming skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing
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-throughput screening approaches Experience with organoid culture systems Knowledge of bioinformatics tools and programming (R, Python) Track record of peer-reviewed publications Baylor College of Medicine is
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skills in R/Matlab/PerlPython. Knowledge of basic molecular biology, genomics, and epigenetics. Experience in next-generation sequencing data and scRNA-seq data. Baylor College of Medicine is an Equal
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. Experience with R or Python. Experience with ML and AI. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 23093 Apply now
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for processing and interpreting mass spectrometry and mass spectrometry imaging data. Conducts git versioning control of R-based lab-wide scripts for basic statistical analysis and preprocessing. Performs