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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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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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The position is responsible for product development, technology transfer and overall management of CMC activities related to ensuring robust development and reliable GMP supply of oligonucleotide conjugates and intermediates.
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Job Description: Director, Quant Data Engineering The Role 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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Collaborate with CRO and academic partners; employ cutting-edge in vitro and in vivo animal and human models to advance drug discovery and development programs up to and including IND filing.
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Required Experience 10+ years of proficiencyin data and software engineering, with a commendable track record of 5+ years dedicated to engineering management, encompassing managerial oversight of other managers.
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Primary duties of the Trash Collector include: - Operating garbage trucks - Collecting and dumping trash receptacles - Following route assignments as directed Waste Management offers an excellent benefits package that includes medical, dental, vision, life, 401(k) savings and more.
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Lead internal and outsourced development and qualification or validation of biomarker assays for clinical trials, applying experience across relevant methods (e.g. qPCR, digital drop PCR, Western blotting), to develop robust assays, generate and analyze data and provide expert interpretation of the effects of promising drug candidates.
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Working in collaboration with Community Development leadership and staff in local market, region and nationally, as well as, National Race/Walk Managers, execute strategic fundraising plan for year-round engagement and cultivation of participants of the market MORE THAN PINK Walk/Race for the Cure events to meet revenue goals.
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Proactive cyber & data protection risk management from identification and assessment to full mitigation, supporting global (e.g., security policies, crown-jewels etc.) Data management, data analytics, data risk management experience could be an advantage.
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GMO’s Investment Data Solutions (IDS) Team consists of over 35 technology and data engineering professionals who partner closely with GMO’s investment managers and research teams to provide structured and unstructured market data, data engineering and analysis, quantitative application development, operations, and support in all areas of the research and investment process.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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We are a driving force behind drug discovery, and we are now eagerly searching for an exceptional computational scientist like you to join our ranks. Work at the intersection of experimental and groundbreaking digital technologies, with a particular emphasis on expertise in machine learning and artificial intelligence (AI) as applied to small molecule drug discovery.
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Prior GCP training, knowledge of Good Clinical Data Management practices, and understanding of industry best practices to support drug development programs and submissions through BLA/ MAA are required.
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As a Software Development Manager for the AEC Solutions group, you will lead your team to build data pipelines to power our work in artificial intelligence, deep learning, generative AI, machine learning, reinforcement learning, information retrieval, and natural language processing.
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data management drug development jobs Title: president in Cambridge, MA
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