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They can participate in teaching activities in the Masters Program in Public Health and Masters and Certificate Programs in Biostatistics including instruction of didactic courses, development of new courses and curriculum and academic advising of graduate students in biostatistics at OHSU/PSU School of Public Health (SPH.
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The placement of Biostatistics in the Perelman School of Medicine with world-class medical, biological, and population scientists, as part of an integrated campus including the Wharton School of Business, School of Arts and Sciences, and the School of Engineering and Applied Science and other premier biomedical research institutions including the Children's Hospital of Philadelphia provides the ideal setting for cross-disciplinary collaboration and impactful quantitative research.
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This faculty position is in the Department of Biomedical Informatics, Biostatistics & Medical Epidemiology within the School of Medicine and is open to applicants at all ranks on the tenure/tenure track or non-tenure track, focused on Precision Medicine.
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Ph. D. in Computational Biology, Biostatistics, or a related field. Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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We are seeking a Bioinformatics Analyst II to join the Seibold Lab team, with a background in bioinformatics, computer science, computational biology, biostatistics, or statistical genetics to join our team.
$65,000 - $73,000ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Doctorate or terminal degree (e.g., PhD, ScD) in a quantitative field relevant to population health, including but not limited to Health Policy, Public Health, Economics, Demography, Biostatistics, Statistics, Health Services Research.
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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research. Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Derive novel prognostic and predictive signatures using statistical and machine learning methods to guide patient stratification and biomarker selection in clinical trials. Proficient in programming languages such as Python, R, and Perl, with a mastery of various bioinformatics tools and software, along with experience in developing bioinformatics pipelines.
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Collaborate with translational scientists and clinicians to design and execute data analysis strategies that address key clinical oncology research questions. This position will be focused on the bioinformatics collaborations in Oncology clinical trials and will thus play a crucial role in analyzing large-scale genomic and clinical datasets to uncover insights into cancer biology and treatment response.
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Previous experience in oncology research is required. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Extensive experience and expertise, demonstrated via a strong publication record and prior work experience, in the analysis of cancer genomics data, including whole-genome sequencing, exome sequencing, RNseq, and epigenomic data.
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The Arthritis & Clinical Immunology Research Program (omrf.org) is hiring a Research Assistant Professor to perform biostatistics analyses of clinical trial and experimental data to aid in the diagnosis, treatment and understanding of autoimmune disease.
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The postdoctoral fellow will work with Drs. Haneuse, Mukherjee, and Wang in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health, as well as their collaborators at Kaiser Permanente.
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The Senior Scientist/Scientist/Lead Researcher should have a working knowledge of pharmacoeconomic analyses, decision modeling, biostatistics, research methods and design, and the use of relevant software to support relevant analyses.
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MD or Ph. D. or equivalent in medicine, public health, epidemiology, biostatistics, public policy, computerscience or other related field by the start date. MD or Ph. D. or equivalent in medicine, public health, epidemiology, biostatistics, public policy, computerscience or other related field by the start date.
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biostatistics job Title: program Company: Emory University School Of Medicine
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