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Scholars will focus their training on the epidemiology of cardiovascular disease such as coronary heart disease, stroke, heart failure, and other forms of vascular disease, following one of the training pathways: statistical genetics and genomics, computational biology and bioinformatics, or clinical epidemiology.
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As a core objective, his/her responsibilities include but not limited to provide statistical support in R&D for pre-clinical work, bioassay and biomarker research. SAS, R and/or Python, Office 365, Other statistical softwares (e.g. JMP, S+, East, PASS,is a plus.
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Proficient in statistical programming languages/software such as R, Python, SAS®, JMP®, etc. Leads the design and analysis of in-vitro and in-vivo experiments to advance the discovery portfolio in multiple therapeutic areas, innovative study designs, and statistical analysis plans in collaboration with biologists and other researchers.
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Demonstrated problem-solving, analytical, and multitasking skills with a good understanding of clinical research, statistical programming and CDISC standards. A technical and innovative role that partners with statistical programming, clinical analytics, data standards, statistical sciences, data sciences and information technology experts to implement next generation clinical data analysis ecosystem.
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Work with domain-area experts in atmospheric science to understand relevant datasets to translate model calibration and validation needs into appropriate statistical analyses and models. Our team’s projects offer opportunities for creative problem-solving on a boundless set of interesting statistical problems at the interface of extreme weather, climate change, and risk.
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Familiarity with statistical programming software such as SAS, Stata, Python, or R. The candidate should have a solid coursework foundation in biostatistics or epidemiology and statistical programming.
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Remote Principal Statistical Programmer needs 10 years Pharmaceutical/Biotech programming experience including macro/tools development experience. About the job Remote Principal Statistical Programmer.
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The Sr. Statistical Programmer will create specifications and develop SAS programs for data tabulation, analysis and reporting that comply with regulatory requirements (CDISC SDTM and ADaM), SOPs/ SAP, and lead junior level programming personnel.
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This individual will have a background in I/O Psychology and be skilled in psychological theory, scientific research methods, survey design, advanced statistical analysis, and data visualization.
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Acts as the lead statistician for different vaccine projects and provides support to the preclinical research team on statistical requests and on all relevant statistical matters. Preclinical Statistical Project Leader, Global Biostatistics Sciences - Vaccines.
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Proficient with experimental design, data processing, statistical analysis, and bioinformatics analysis/reporting of next-generation sequencing data. Our world class scientific founders include Professor David Liu (HHMI, Broad and Harvard) and Professor Keith Joung (Arena BioWorks, formerly MGH), and we are funded with a significant capital investment by leading life science venture capital firms including Newpath Partners, Atlas Venture, F-Prime Capital, and 5AM Ventures.
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Statistical Programmer - Hourly page is loaded. Statistical Programmer - Hourly. Advanced skills/experience with statistical programming and data management. Responsible for performing statistical programming, analysis and large scale data.
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We now seek an enthusiastic and intellectually statistical geneticist/computational biologist interested in these broad research areas. + Statistical analysis experience and/or a working understanding of biological systems.
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Work closely with Biostatistics to create analysis specifications following the instructions provided in Statistical Analysis Plan (SAP). Contribute and implement to statistical analysis plans; provide additional expertise in the analysis of clinical trial when it relates to protocol development, case report form design and data collection.
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The highly-qualified Biostatistician will support clinical investigation with a focus on genetic studies, including design and analysis of clinical studies, estimate sample size and power, interpret results and write statistical sections of papers and grants collaboration with investigators affiliated with Harvard Medical School, grant and protocol development and review, and teaching and mentoring of junior investigators.
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statistical job in Cambridge, MA
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