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Partner with a team of dedicated and senior Clinical Biomarker scientists on the science and bioanalytical assays for Modernas early and late phase infectious disease vaccine programs. The Director will work collaboratively across multiple clinical teams to ensure strategy, planning, execution and data delivery of biomarker lab data for early and late phase infectious disease vaccine clinical trials conducted by Moderna.
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Founded by an internationally recognized team of neurodegenerative biologists from Harvard Medical School and Harvard University, QurAlis is a clinical-stage biotechnology company advancing a pipeline with therapeutic candidates that target specific components of ALS and FTD pathology and defined patient populations based on both disease-causing genetic mutation(s) and clinical biomarkers.
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In addition, the ideal applicant should have a strong programming background (e.g. Python, R, SQL, MATLAB) and the drive and enthusiasm to learn about clinical neuroscience by assisting in state-of-the art patient-centered research.
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Our faculty are leaders in the development of methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis, computational and systems biology, microbiome analysis, statistical genetics and genomics, neurostatistics, statistical and machine learning methods, and environmental statistics.
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Our faculty are leaders in the development of methods for the design and analysis of clinical trials and observational studies, missing data, causal inference, precision health, network analysis, computational and systems biology, microbiome analysis, statistical genetics and genomics, neurostatistics, statistical and machine learning methods, and environmental biostatistics.
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The Department seeks candidates for a faculty position at the level of full professor with tenure, who will take a leadership role in the department's clinical trials and infectious disease research agendas as the director of the Center for Biostatistics in AIDS Research (CBAR.
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Qualified applicants will have a doctoral degree in biostatistics, statistics, mathematics, computer science, computational biology, or a related field. The Department of Biostatistics at the Harvard T.H. Chan School of Public Health seeks candidates to fill a tenure-track faculty position at the assistant or associate professor level.
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PhD degree in biomedical informatics, computer science, information science, computational linguistics, statistics, data mining, or a closely related field; or an MD/PharmD with demonstrated strength in Biomedical Informatics research.
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In addition to directing CBAR, a key requirement of the position will be to take a leadership role with at least 50% effort as a multi-principal investigator of the Statistical and Data Analysis Center for the NIH-funded international clinical trials network known as the ACTG (Advancing Clinical Therapeutics Globally for HIV/AIDS and Other Infections actgnetwork.org ; formerly the AIDS Clinical Trials Group.
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Candidates should have backgrounds in quantitative health sciences research with demonstrated expertise in the development of biostatistical methods for clinical trials and applications related to infectious diseases research, as well as strong collaborative research records, including leadership in innovation in the design and analysis of clinical trials, observational and mechanistic studies, and related laboratory data investigations.
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Our unique and diverse community provides unparalleled collaborative opportunities with academic departments across Harvard, the Dana-Farber Cancer Institute, and other world-class Harvard-affiliated hospitals.
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Doctoral degree in biostatistics, statistics, mathematics, computer science, computational biology, or a related field (degree required at the time of application). Doctoral degree in biostatistics, statistics, mathematics, computer science, computational biology, or a related field (degree required at the time of application.
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Generates rapid real-world evidence to empower the development needs, speed up clinical trial design or facilitate quick decisions. Provide new insights for disease area to help shape clinical development strategies and generates real world evidence for value decisions of therapies.
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Expand the culture of collaboration between the clinical team and partners in the Inflammation and Immunology Research Unit (I&I RU) (Discovery, Pre-clinical and Systems Immunology), Clinical Pharmacology and Bioanalytics, Statistics, and Research and Developments (PRD) teams by maintaining open communications and ensuring successful program transitions.
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Faculty Assistant/Associate Professor of Biostatistics. We seek candidates with backgrounds in biostatistical theory and methods and/or machine learning and data science, with demonstrated expertise in the development of new methods as well as a record of collaborative research.
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