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South America. Clear evidence of training and research experience in areas related to precision medicine. Competency in data analysis (including coding in R, Stata and Python). Management (with SQL), with
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data analysis (including coding in R, Stata and Python). Management (with SQL), with special emphasis on machine and deep learning methods, referencing software (e.g. Endnote). Excellent written and oral
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related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological
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deployment of research-grade AI tools. Proficiency in Python (and preferably R); experience with data engineering for omics, containers, CI/testing, and high-quality visualization/reporting. Strong publication
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to integrate product management and R&D much more to ensure that we focus our energy on properly deciding what to build and why we build it. Digital product management is concerned with exploiting
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Bioinformatics, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or a related field. Strong Python and R skills for omics data processing, QC
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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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Biology, or a related discipline Proficiency in Python and R, with experience in spatial transcriptomics data analysis and high-dimensional data visualization Demonstrated experience in building and
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, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological discovery Familiarity with working with Unix/Linux environments An understanding
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field Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological discovery Familiarity with working with Unix/Linux