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analysis methods, including quantitative structural analysis, network-based functional analysis, voxelwise cross-modality analyses, graph theoretic approaches, and machine-learning based applications
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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. This position is 100% on site in New Haven, Connecticut. Candidate requirements Candidates must have a PhD in Biomedical Informatics, Data Science, Computer Science, or an informatics/engineering-related field
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and supportive academic community. Qualifications We are seeking candidates who meet the following criteria: A PhD or equivalent degree, already obtained, in a related field e.g., philosophy, law
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. Opportunities for presentations at local, regional, and national meetings, manuscript writing, grant preparation, and professional development. Qualifications: MD, PhD, PharmD, or equivalent degree. Background in
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teams Being able to design and perform hands on experiments and maintain detailed documentation Qualifications: Must have a MD or PhD in a field applicable to cancer research and associated experience in
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of Genomic Health and Department of Genetics. Our lab uses computational and experimental methods to understand how human genetic variation underlies health and disease, across rare and common phenotypes, with
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. * Proficiency in R, Python, or related software and programming languages. * Experience with big data, linux systems, and remote computing clusters. * Knowledge of genome-wide approaches and other statistical
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Minimum qualifications: PhD/ScD/MD or equivalent degree and years of experience in epidemiology, econometrics (particularly around cost-effectiveness analyses), and pharmaceutical or medical device policy
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topics include, but are not limited to (i) developing statistical and machine learning methods for study designs and decision-making in early detection of pancreatic cancer (ii) establishing strategies