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The HWSPH has focal areas of Biostatistics and Bioinformatics, Climate & Environmental Health, Community Health Services and Preventive Medicine, Epidemiology, Global Health, Health Behavior, Health Equity and Justice, Health Policy, Public Mental Health, and Technology & Precision Health and offers teaching and student mentoring opportunities in our BS in Public Health, MPH, PhD in Public Health (administered jointly with SDSU), and MS and PhD in Biostatistics degree programs.
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The Research Scientist Supervisor II (RSS II; Epidemiology/Biostatistics) works under the broad administrative direction of the Health Program Manager III of the Substance and Addiction Prevention Branch (SAPB.
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The Head of Biopharma Biostatistics serves as a leader within the global biostatistics department responsible for strategic and operational oversight of the biostatistics and statistical programming activities for Emmes' biopharma portfolio in key therapeutic areas such as vaccine and infectious diseases, ophthalmology, CNS, rare disease and cell and gene therapy among others.
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In this exciting role you are an individual contributor joining our Real World Evidence team in Medical Affairs, with a dotted line into our Biostatistics and Clinical Data Management Department working within GRAIL's Clinical Development organization.
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Qualifications Required Qualifications: MPH Degree or equivalent Masters Degree in epidemiology, biostatistics, health services research, public health administration/policy or related, applicable field.
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Specializes in the clinical domain and works across biostatistics, clinical trials/research, data management, health economics/RWE, medical affairs, statistical programming, and other R&D areas within pharma and biotech.
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Masters degree or Ph. D. in a quantitative discipline such as statistics, biostatistics, computer science, bioinformatics, or computational biology. Interact closely with scientists in the proteomics team, basic research, and in drug development to understand their data analysis needs and provide answers to technical questions through custom analyses, 1-on-1 communication, presentations, and written documents.
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Ph. D. in Computational Biology, Biostatistics, Statistics, Bioinformatics or related field. The Quantitative Sciences Unit (QSU) is an interdisciplinary collaborative statistics unit in the Biomedical Informatics Research Division within the Department of Medicine at Stanford University.
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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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Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research. Collaborate with translational scientists and clinicians to design and execute data analysis strategies that address key clinical oncology research questions.
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Masters in Statistics or Biostatistics Plus 8+ years of previous related experience in analytical experience with clinical trials /clinical research. Director, Biostatistics Operations (Scientific Insights & Analytics) - Surgical Structural Heart.
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Providing guidance on process improvement projects within biostatistics and cross-functional areas. Managing and oversee the work of Biostatistics Operations team, including statistical methods and programming.
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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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Creating, maintaining, and implement improvements, standardizations, and globalizations of Biostatistics processes and procedures, including the development of Biostatistics Standard Operating Procedures (SOPs) and Work Instruction Manuals (WIMs) to ensure compliance, accuracy, efficiency, and optimization.
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Job Qualifications· Ph. D. in Computational Biology, Biostatistics, or a related field. The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· 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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biostatistics job Title: research Company: Emory University School Of Medicine
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