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Lead the clinical data management team in the collection, cleaning, and validation of clinical trial data. Lead and mentor a high-performing team of biostatisticians, statistical programmers, and clinical data managers.
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Lead and/or support other initiatives such as Data Review, Risk Based Monitoring, Data Standards, Coding and Lab review. Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Ability to lead a project and plan ahead, be well organized and effectively use resources to execute experiments and deliver high quality data in a timely fashion. Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Collaboration, Communication Skills, Curiosity, Data, Data Analysis, Design Of Experiments, Detail-Oriented, Drug Development, Drug Discovery, Ethics, Gene Therapy, Immunology, Inventory Management, Laboratory, Lifesciences, Machine Learning (Ml), Management, Medical Research, Molecular Biology {+ 10 more.
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This includes data from genomics, proteomics, metabolomics, and other biological sources. + 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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The Data Science Specialist will serve as a lead statistical consultant, assist Research Technology's coordination of teaching and research support for a wide variety of academic departments and programs.
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At least 1 years of experience managing Cloud Data Warehouse database technologies, such as AWS Redshift, Snowflake, Databricks or similar. Design, configure, and manage Data Warehouse Database Systems on Cloud (AWS Redshift, EMR HBase and Snowflake.
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Lead and/or engage in the design, execution, and analysis of experiments to deliver high quality data and enable project decisions. Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and experimental gradients of climate, wildlife abundance, fire frequency, and other factors at multiple sites across Africa, which will be available for use by the postdoctoral researcher to answer questions related to animal and landscape ecology.
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Serve as a leader within the QC group and as a knowledge resource (data review, electronic review, data integrity, GDP) within the company. QC Testing data review of products, raw materials, stability lots.
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PhaseForward Inform, Oracle Clinical and/or other clinical data management software desirable;General software skills: MS Access, MS Word, MS Excel, MS Project, Visio, familiarity with medical coding dictionaries, especially MedDRA and WHODRUG.Experience applying best practices in clinical data management programming in the clinical trial environment, including requirements definition and QC plansKnowledge of GCP and other regulations.
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National Grid Ventures (NGV) is looking for a knowledgeable, curious, and driven Senior System Integration Engineer to join our Grid Integration and System Planning Team. This individual will support our Community Offshore Wind project by managing the interface technical data across the project, from the windfarm to the grid interconnection.
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The collection of mission and technical areas that we support is quite broad, and we recognize that successful candidates may come with a similarly wide range of technical backgrounds and extracurricular experiences: Requirements Extensive practical experience with spaceborne, airborne, and UAS-based remote sensing platforms and data sources, including lidar, synthetic aperture radar, and hyperspectral data sets is required.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem. You will be part of an agile, cross-functional team responsible for training state-of-the-art, large-scale models on the scientific corpora, fine-tuning models with feedback (e.g. RLHF/DPO) and integrating multimodal scientific data.
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Advise the Information System Owner (ISO), Information Data Owner (IDO), Program Security Officer (PSO), and the Delegated and/or Authorizing Official (DAO/AO) on any assessment and authorization issues.
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data job Title: lead Company: Joveo Us in Lexington, MA
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