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HEDS is part of our company's Biostatistics and Research Decision Sciences group, and works in collaboration with internal and external partners (such as the Center for Observational and Real-World Evidence, CORE) to generate the evidence to support scientific and commercial value of our company's portfolio to optimize access, reimbursement, and patient outcomes.
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The Preclinical Project Biostatistician will report to the Head of the Biostatistics Preclinical team and will be part of the Translational and Early Development (TED) unit inside the Global Biostatistical Sciences (GBS) team.
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The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management. Establish and execute on a strategic roadmap for biostatistics, statistical programming and data management for Dyne as we prepare for commercialization.
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Ph. D. in biostatistics or related discipline with 7+ years of experience with patient-reported outcomes, health economics, health technology assessment, and outcomes research methodology used in clinical trials and observational studies.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Cross-functional clinical processes, including data management, biostatistics, medical writing, drug safety/pharmacovigilance, and regulatory affairs. Cross-functional clinical processes, including data management, biostatistics, medical writing, drug safety/pharmacovigilance, and regulatory affairs.
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Ph. D. in Biological science, Computational Biology, Computer science, Biostatistics, Public Health, Epidemiology, or related field. The ideal candidate is an expert in Real-World Data (RWD) and RWE generation in oncology, including the use of longitudinal patient data, imaging, and multi-omic data, with demonstrated capabilities in applying state of the art machine learning, biostatistics, and data analytics to solve real world problems in areas of drug discovery and development.
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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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Knowledge and skills required are normally obtained through a master's degree in public health, public policy, public administration, biostatistics, or related field. Reporting to the Program Director of the Northeastern University Public Evaluation Lab (NUPEL), the Program Evaluator will support the continued development of the NU-PEL evaluation research mission and collaborate with an interdisciplinary, multigenerational team of students, staff, and faculty.
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Demonstrated track record in leading cross-functional teams and work streams (pharmacovigilance, biostatistics, clinical operations, and regulatory affairs). Provide medical leadership for cross-functional internal workstreams including pharmacovigilance, biostatistics, clinical operations, and regulatory affairs.
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ORA PhD in Statistics, Biostatistics, Biology, Physics, Chemistry, Geology, or other natural and physical sciences is required. ORPhD or equivalent in Policy Analysis or any technical discipline, Health Services Management, Public Health, Epidemiology or Business; or MPP, MPH, or Master’s degree with 5 years of relevant professional experience in a technical discipline with demonstrable proficiency in formal methods of decision support analysis is required.
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Ph. D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics.
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The Biostatistics Intern will perform statistical programming tasks to generate clinical tables, figures, and listings (TFLs), as well as contributing to the statistical methodology research and stimulation studies.
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Master’s or Ph. D. in Biostatistics, Statistics, Epidemiology, or a related field. We are seeking a talented Clinical Biostatistician to join our team and play a key role in driving the statistical aspects of clinical studies, assay development, and epidemiological and healthcare economic modeling using real-world data.
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Our studies combine techniques from behavioral science, machine learning, and implementation research and incorporate influences from other fields including economics, health policy, biostatistics, epidemiology and clinical medicine.
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biostatistics job Title: program in Boston, MA
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