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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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The mission of the Center for Biostatistics and Health Data Science (CBHDS) is to achieve excellence in Virginia Tech's health- and medically-related research portfolio through fostering collaborations across biostatistics, data science, health analytics, computer science, engineering, bioinformatics, biology, database management and integration, project coordination, clinical practice, health economics, translation and public policy.
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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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Department of Biostatistics and Bioinformatics Occupational Summary Under the leadership of the Biostatistics Core management team in the Department of Biostatistics and Bioinformatics, perform intermediate- and advanced-level statistical analysis and programming for a broad range of research projects.
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PhD preferred, minimum MSc in statistics/biostatistics, health economics, epidemiology. Strong study design and statistical analysis skills with proficiency in one are more statistical applications (SAS/R/Python) is required.
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Collaborates with Clinical Operations, Data Management, Clinical Development, Drug Safety, Statistical Programming, and Biostatistics to develop standard and custom data reports for quality data oversight / clinical data review.
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We are seeking a highly skilled and motivated Principal Statistical Programmer with expertise in pharmacokinetics (PK) and pharmacodynamics (PD) to join our dynamic FSP team. Substantial experience in statistical programming using SAS, R, or other relevant programming languages within the pharmaceutical or biotech industry.
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A recent or almost completed Ph. D. degree or equivalent experience in a quantitative field (e.g., statistics, biostatistics, epidemiology, artificial intelligence, computer science, operations research, industrial & systems engineering, applied mathematics, health economics, biomedical informatics, or similar.
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Qualified candidates will have advanced formal training in statistics or biostatistics including design and analysis of observational and experimental studies, and strong statistical computing skills.
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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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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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Preferred experience with statistical software such as SAS, R, SPSS (or similar) and/or bioinformatics tools such as SEQL, PYTHON (or similar). Ensure coordination of TCC protocol operations with other key stakeholders in the organization, including but not limited to, Tissue Core (biospecimen collection, processing, storage, and release), various components of Health Data Services/Collaborative Data Services Core (data acquisition, deposition, and access), Research IT (systems management and integration), Biostatistics and Bioinformatics Shared Resource (data cleaning, analysis pipelines), etc.
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Proficient in cross collaboration with other functions such as Biostatistics, Statistical Programming, Pharmacovigilance and Clinical Operations. Proficient in cross collaboration with other functions such as Biostatistics, Statistical Programming, Pharmacovigilance and Clinical Operations.
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Education: Graduate degree in Economics, Health Economics, Outcomes research (Pharma) biostatistics, or related field preferred. Execute HEOR research using internal data sets including writing protocols and statistical analysis plans, executing research with analyst, and writing final reports or publications.
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Ensure close collaboration with other functional areas such as biostatistics, data management, clinical operations, pharmacovigilance, regulatory affairs, etc. Provides oversight of all statistical programming activities performed by contractors in different oncology trials as well as submission-related activities, e.g., integrated summary of safety (ISS) and integrated summary of efficacy (ISE.
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