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Clinical research experience,knowledge of biostatistics, clinical trial design, grant writing and research ethics is e. NYC Health + Hospitals/Lincoln , located just 15 minutes from NYC, is an acute care teaching hospital academically affiliated with Weill-Cornell Medical College.
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The Senior Director of Real-World Evidence Biostatistics plays a pivotal role in leading and overseeing the strategic direction and execution of statistical and real-world evidence initiatives within the organization.
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The Associate Director of Biostatistics will provide statistical leadership, oversight, expertise and technical support of the clinical development activities. Participate in regulatory interactions and provide biostatistics input.
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Eligible applicants will have completed all requirements for the Ph. D. (or equivalent) at the time of appointment; applicants may have earned degrees from any department, but degrees in human development, psychology, epidemiology, health behavior, biobehavioral health, sociology, criminology, quantitative psychology, or biostatistics will fit particularly well.
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Required Qualifications: PhD in Pharmacoepidemiology, Epidemiology, Health Services Research, Health Economics, Statistics/Biostatistics, Biomedical Informatics, Computer Science, Data Science, or other fields related to pharmacoepidemiology.
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Strong background mid- and late-stage drug development that includes familiarity with multiple therapeutic areas, regulatory operations, observational studies, biostatistics and medical operations.
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Provide support to all functional areas within Global Pharmacovigilance (GPV) as well as external to GPV, including Clinical Operations, Medical Affairs, Biostatistics and Data Sciences (BDS), Health Economics Outcomes Research (HEOR), Global Regulatory Affairs, Commercial/Marketing teams, etc.
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A background in either population health, epidemiology, biostatistics, computer science, or social science are beneficial. Doctoral Degree in either epidemiology, biostatistics, population health, social sciences, physics, or related fields.
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Ph. D. in Economics, Statistics, Public Health, Public Policy, Epidemiology, Biostatistics -or- Master's degree in a related field with 5+ post graduate years of relevant experience. The Lewin Group seeks a cancer epidemiologist or health economist with expertise in oncology to conduct rigorous empirical research on the most current policy issues surrounding healthcare reform.
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Master's Degree in Biostatistics, Epidemiology, or related quantitative field. The Senior Biostatistician will work independently within the ECHO DAC team in consultation with ECHO investigators at the cohorts and NIH on the formation of statistical designs for studies, drafting statistical analysis plans, conducting data analysis, preparing data tables for publications and presentations at scientific meetings, and writing up the study results and statistical methods.
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PhD in quantitative science or engineering field (for example: Statistics, Biostatistics, Mathematics, Operations Research, Computer Science, Physics) with a minimum of 5 years of hands-on experience as an individual contributor in the field of experimentation.
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Apply technical expertise to influence business decisions Basic Qualifications: Ph. D. in Statistics or Biostatistics Additional Preferences Flexibility to locate to Boston, MA to join our growing team Expertise and experience in study design, mixed models, multivariate analysis, design of experiments, multiplicity control, and analysis of variance Proficient in statistical programming languages/software such as R, Python, SAS®, JMP®, etc.
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Master's degree in statistics or biostatistics with 8+ years of biopharmaceutical statistics experience with specific experience in late stage drug development, including phase IIb, phase III, and submissions in the pharmaceutical industry.
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The Associate Director, Biostatistics is a core member of cross-functional development teams and contributes to trial design, protocol development, analysis planning, interpretation of results, preparation of regulatory submissions and publications.
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Bachelors degree in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics, or related Quantitative disciplines and 5+ years experience in predictive analytics or equivalent field.
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