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The candidate should have a solid coursework foundation in biostatistics or epidemiology and statistical programming. This position is ideal for a candidate interested in pursuing graduate studies in a related area (e.g., MD, PhD in economics, health policy, epidemiology.
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Basic Qualifications:PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years. Basic Qualifications:PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years.
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Masters degree in a quantitative field such as statistics, biostatistics, programming, or epidemiology. MPH with concentration in epidemiology and biostatistics is acceptable with appropriate post-graduate experience.
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Collaborate with other laboratory members with expertise in epidemiology, biostatistics, pathology, molecular biology, and functional genomics. Strong background in epidemiology and statistics.
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The Platform fully centralizes RWE, epidemiology, outcomes research, RW-relevant health informatics, and biostatistics talent from global, international developed market(IDM)and emerging markets(EM)into one team to drive quality and efficiency through internalized work.
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Basic biostatistics and ability to interpret data from clinical trials and outcomes research. Clinical epidemiology and population health management. Our program has successfully improved cardiac rehab participation rates, member outcomes and lowered readmission at marque organizations like CDPHP, Kaiser Permanente, Highmark Health Plan, Allegheny Health Network and the Veteran Affairs.
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Other duties as requested by Biostatistics Director. Desired: Clinical trials, case-control and cohort studies, statistical genetics, protocol monitoring, hierarchical, longitudinal, survival, categorical, nonlinear, and epidemiology.
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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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QualificationsQualifications include:PhD or equivalent in Statistics, Biostatistics, Bioinformatics, Data Science, Epidemiology, Health Informatics, Computer Science or similar field. We are particularly interested in individuals who bring expertise in topics including Bayesian methods, causal inference, global drug surveillance, pharmacoepidemiology, biostatistics, data interoperability and harmonization, data standardization, surgical and medical device epidemiology, and health economics and outcomes research for quality measures.
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Master's degree in Biostatistics or Statistics is preferred, but a Master's degree in Epidemiology or Public Health with an emphasis in biostatistics or quantitative methods is acceptable.
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Bachelor’s with 5+ years or MS / PhD with 1+ years in a medically-related field with a quantitative focus (public health, health economics, biostatistics) or in in a quantitative field (computer science, statistics, computational biology, biomedical engineering.
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Qualifications·A PhD, ScD, or similar advanced graduate degree in biostatistics or epidemiology, with an emphasis on multi-omics and/or machine learning experience·Experience conducting epidemiologic analyses, specifically evaluating complex exposures with incidence disease outcomes A combination of education and experience may be substituted for requirements.
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Master’s or Ph. D. in Biostatistics, Statistics, Epidemiology, or a related field. Certification in Clinical Trials or Epidemiology (e.g., CCRA, CPH) is a plus. 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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We are particularly interested in individuals who bring expertise in topics including data interoperability, data harmonization, data standardization, ontology development, causal inference, pharmacoepidemiology, population and personalized health, precision oncology, open science, Bayesian methods, biostatistics, or related fields.
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PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years. PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years.
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epidemiology biostatistics jobs in Cambridge, MA
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