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Oversee in vivo and in vitro studies, including development and optimization of disease models, study design, data collection, and interpretation. Learn more about Flagship at Position Overview:We are seeking a highly skilled PhD level Principal Scientist with proven experience in immunology and preclinical research to join our team.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Hands-on experience in handling, processing, integrating, and analyzing large heterogenous biological data sets related to industrial drug discovery research (e.g., sc/snRNAseq, ATAC-seq, genomics, proteomics, etc.
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If you're not comfortable using a webcam within a group study you can always pass and choose a different research study You'll need to have access to a reliable Internet connection You'll need to understand, as well as follow oral and written guidelines & instructions.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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The Health Policy & Equity Section regularly produces and publishes research in high-impact journals such as JAMA, NEJM.Job Description:Essential Responsibilities: Assists in the design, development and maintenance of data collection instruments, databases and procedure manuals.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Research and evaluation; results-driven technical assistance and training; and leading-edge data science and technology tools. Apply research methods and techniques to manage and analyze qualitative and quantitative data.
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Share your learnings with the rest of the UX Research Team. Required Skills: Undergraduate or postgraduate degree in psychology, sociology, human-computer interaction/UX design, qualitative/quantitative research, or relevant experience.
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College Areas of Research Excellence include psychoacoustics, neuroscience, understanding the mechanisms underlying speech, voice and language disorders, neurological disorders, neuro-rehabilitation, neuro-habilitation, pediatric rehabilitation, musculoskeletal health, mental health and well-being, public health, nutrition, health equity, and integrated health technology and data sciences.
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WAN and preferably iWAN Expertise – Transport and Access Planning, Design and Deployment ExperienceExperience in analysis and selection of transport and access technologies including; MPLS, Private Line, Hybrid WAN, Internet Complex, Ethernet, Internet VPN,DWDM, and wireless.
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Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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Theposition requires a combination of research and operational experience in statistical programming and data analysis,psychometrics, and statistics, including proficiency in statisticalprogramming.
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Core Responsibilities·Leads Mass General Brigham Digital efforts to leverage the enterprise electronic health record and Epic Platform to provide clinical and academic leadership for an enterprise information and digital strategy that meets Mass General Brigham goals in the areas of clinical care, revenue capture, patient experience, quality/safety, population health management, research, data/analytics, and teaching.
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Overview The Dana-Farber Cancer Institute seeks an Associate Computational Biologist, under the Department of Medical Oncology to work as a data scientist on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine.
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