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PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years. PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years.
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We would prefer for you to have: PhD in Statistics/Biostatistics preferred. You will need to have: PhD in Biostatistics, Statistics, or equivalent with at least 4 years pharmaceutical biostatistics experience or MS with at least 6 years of relevant experience.
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Advanced understanding of drug development, clinical research, study designs, biostatistics, pharmacology, and medical terminology. Advanced degree (RN, PA, MS, MPH, PhD, or PharmD) or equivalent in a scientific or health care field required.
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Master’s or PhD in epidemiology, biostatistics, quantitative analysis, health informatics, economics, or equivalent quantitative field. We are a highly motivated team of 30+ business analytics, biostatistics, epidemiology, and data science professionals distributed across three countries, working together to provide analytics and insights using Clarivate’s RWD product for pharmaceutical, biopharma, and medtech clients.
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PhD in bioinformatics, biostatistics, or computational biology (or comparable skills) and a completed post-doctoral fellowship in a related field. Data Scientist in Computational Biology/Biostatistics.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor’s degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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PhD in Statistics/Biostatistics is preferred. The Associate Director, Biostatistics has sufficient experience working as a statistician in the pharmaceutical industry to independently perform and lead statistical work within a project, an indication within a more complex project.
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Currently enrolled in a Master's or PhD program in fields such as business, economics, health economics, data science, biostatistics, or public health. Currently enrolled in a Master's or PhD program in fields such as business, economics, health economics, data science, biostatistics, or public health.
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Advanced degree in life science field (e.g., PhD, PharmD, or DVM) Collaborate with clinical operations, medical affairs, regulatory affairs, biostatistics, and other teams to ensure alignment of clinical strategies with overall program goals.
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The Real World Evidence team at Tempus partners with external Pharma, biotech and academic institutions to provide best in class data, analysis and methodological guidance to Tempus’s real world data offering.
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Doctoral degree, such as an MD, PhD, or ScD, or in final stage of doctoral program in pharmacoepidemiology, epidemiology, biostatistics, bioinformatics, or related field. The Fellow will receive one-on-one, team, and peer mentoring ( The Fellow will have dedicated workspace, computing resources, access to biostatistics support as needed, and to libraries and other resources of Harvard University.
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The Research Fellow will perform research under the guidance of Izzuddin Aris, PhD, an Assistant Professor in the Division of Chronic Disease Research Across the Lifecourse (CoRAL) in the Department of Population Medicine.
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