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Caris Life Sciences is looking for a sharp, driven and goal oriented Bioinformatics Scientist to support our bioinformatics and statistical analysis leadership as well as novel biomarker discovery derived from Caris proprietary ADAPT Biotargeting SystemTM. These critical roles will work closely with our Bioinformatics & R&D teams to assist in designing experiments, analyzing complex clinical and translational data sets.
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Firmly grounded in the scientific fundamentals of one or more of the core HEOR specialties (epidemiology, biostatistics, patient reported outcomes, health services research, economics, clinical practice or behavioral science.
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Apply statistical (descriptive, analytical, inferential) analysis and data mining techniques to generate real-world evidence and prediction systems for stand-alone projects or to be assimilated into production systems.
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Conducts research gap analysis, drafts / revises protocol synopsis, develops statistical analysis plan for real-world evidence and other outcomes research studies. The Associate Director/Manager, HEOR works independently while under the supervision of the Director to develop and execute outcomes research to demonstrate the value of AbbVie’s products both globally and for the U.S. market.
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Utilize and develop statistical and computational pipelines for the analysis of omics data, including RNseq, 16s rRNA, ChIP-seq, scRNseq, bisulfite sequencing, and high-throughput proteomics (DIA and TMT.
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We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio.
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Masters Degree in Public Health, Epidemiology, or Biostatistics preferred. The analyst /fellow may be responsible for the following activities: collecting, entering, and organizing patient data; cleaning and analyzing large databases of patient data; developing and running scripts and code to support research studies, generating data visualizations using statistical software including Python and Matlab; contributing to the preparation and presentation of research results in the form of oral presentation at meetings and conferences and in the form of publications.
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Strong knowledge of advanced statistical methods, predictive modeling, machine learning algorithms, and artificial intelligence. This role involves leading initiatives that harness advanced statistical techniques, data analysis and predictive modeling to gain insights from data and drive business solutions.
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PhD in Statistical Genetics, Biostatistics, Biomedical Informatics, Computer Science, Bioinformatics, or closely related field, with expertise in method development and practical application.
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Serves as the team’s expert on biostatistics, the statistics of quality measurement and the use of statistical software and facilitates the conversion of project requirements into database extraction and analysis code and procedures.
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Graduation from an accredited college or university with a master's degree in epidemiology, public health, biostatistics, statistics, health informatics, health science, biomedical science, or environmental science field with experience equivalent to two years' work experience in epidemiology.
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The Department of Epidemiology & Biostatistics at the University of California, Irvine, is searching for multiple postdoctoral scholars to work on the precision medicine and NIH brain mapping project.
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PhD in Statistics, Biostatistics, or related discipline with minimum 7 years of relevant experience in statistical analysis of biomedical data using SAS, R language or equivalent software in the biopharma industry or a related environment.
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Candidates should have a Ph. D. (or equivalent qualification) in genetics, epidemiology, biostatistics, computer science, bioinformatics, computational biology, or a related field. The postdoctoral fellow will work directly with Dr. Chang (April) Shu on the statistical analysis of epigenetics and single-cell multiomics data from epidemiological and clinical studies.
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Establish and maintain effective communication and collaboration with functional area peers including Pharmacovigilance, Drug Supply, Quality Assurance, Regulatory Affairs, Legal, Medical Writing, Biostatistics and Data Management to meet program objectives and support achievement of goals.
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