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or equivalent combination of education and experience. Excellent computer skills are essential (Word, Excel, PowerPoint), with the ability to learn and master multiple administrative databases, programs and
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methodologies, spanning from computational biology to statistical genetics to machine learning and artificial intelligence. Applicants must have a Ph.D., M.D. or M.D./Ph.D. degree. The Institute for Biomedical
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of related experience or equivalent combination of education and experience. Excellent computer skills are essential (Word, Excel, PowerPoint), with the ability to learn and master multiple administrative
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://www.cbica.upenn.edu/, CBICA), Director, Christos Davatzikos, PhD. The Data Analyst Sr. will: * Design experiments, test hypotheses, and build statistical/machine learning models. * Conduct exploratory as
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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computer skills are essential. Candidate must be comfortable and willing to learn to use REDCap and qualitative research methods. Candidates must be detail-oriented with excellent communication and
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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, or equivalent. Experience in Python and R programming language required Experience with SQL and databases required Experience with machine learning and data science a plus Ability to work independently and apply
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environmental health science, and meeting timelines involved in biological/chemical dataset collection and knowledge representation. They will also manage data using different tools, systems, and machine learning