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Experience in designing and conducting preclinical and/or clinical studies, including protocol development, data analysis, and interpretation. Analyze and interpret experimental data, and present findings to internal stakeholders and external scientific communities.
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Senior clinical scientist level: 4+ years' experience / AD Clinical Sciences Expert level: 7+ years experience, within Pharma clinical trial management/operations, coupled with a broad knowledge of the drug development field.
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You are familiar with a variety of data analysis tools to analyze bioassay data (e.g. GraphPad Prism) and may have experience using or supporting data warehousing and visualization platforms (e.g. Revvity Signals/Data Factory, Spotfire, Genedata, etc.
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You are a dynamic Computational Scientist who will work with other scientists to apply cutting-edge computation, Machine Learning/Deep Learning approaches to revolutionize our large molecule computational tools by contributing to accelerating and improving the process of design and engineering of novel biologics drug candidates.
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DIRECTOR OF RESEARCH/PRINCIPAL RESEARCH SCIENTIST, MIT Center for International Studies, to be responsible for overseeing research activities, data administration, visiting scholar engagement, and fellowships.
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This laboratory-based scientist should be passionate about developing cutting edge genomic technologies, adapting existing NGS assays, partnering effectively with Computational Biology team to analyze NGS data, and helping cross-functional teams interpret results.
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Under the guidance of the CRD he/she collaborates with the Coding specialist, Biostatisticians, Data Managers, Global and Regional Study Managers, Feasibility Managers, Pharmacovigilance representative, Medical Writer (e.g. planning and review of narratives) on high quality medical review, as needed.
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Experience with a variety of flow cytometry data analysis and bioinformatic tools, including FlowJo, FCS Express, OMIQ, Cytobank and/or programming with Python or R. Provide support for drug discovery projects through assistance with experimental design, flow cytometry techniques, and data analysis for pre-clinical and clinical studies.
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As Associate Principal Data Scientist for Imaging you will build state-of-the-art algorithm for medical imaging datasets such as pathology slides, cell painting, CT, and MRI scans to derive clinically relevant insights for disease biology and target discovery.
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We are seeking a temporary Bioinformatics Scientist to join our highly collaborative, multi-disciplinary Data Science team. Work with internal data scientists, learn internal data analysis pipelines, analyze and provide interpretation of fungal whole transcriptome RNSeq, and other large-scale biological datasets (proteomics, metabolomics, and more.
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He/she supports the CRD to ensure appropriate documentation and consistency of the data and investigations of safety cases with the Clinical Trial Team (Monitoring Teams) or Pharmacovigilance. Contribute to definition of the centralized monitoring strategy in consistency with the planned statistical analysis and is involved some of the study data validation and review processes, support the CRD for the Clinical Case review (safety events reported to Pharmacovigilance or safety events of special interest.
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Knowledge on data augmentation techniques for small datasets. The ideal candidate should be able to investigate, develop, prototype, and evaluate state-of-art algorithms in computer vision, deep learning, and image processing.
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As a Data Scientist at Capital One, youll be part of a team thats leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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As a data scientist, you will help prototype and build our core ML microservice platform that utilizes NLP, computer vision, etc to automate and optimize our customers’ processes, as well as increase user engagement.
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As a Senior Data Scientist on our team, you will partner with our engineers, other data scientists, and researchers to experiment, design, build, and deploy statistical, machine learning, and AI models to protect the Microsoft Cloud against known and emerging cyberattacks.
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