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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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Working knowledge of Drug Safety/Pharmacovigilance processes (Intake, Safety Case Processing, Expedited Reporting, Periodic Reports, and Document Management, Report Writing/Analytics) by leveraging any related software.
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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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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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Perform exploratory analysis using data science techniques on structured and unstructured datasets and develop algorithms for early drug discovery efforts. You have experience with high volume drug development data (OMICs, chemical structures, etc.
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As an Information Architect, you will deliver innovative data management, integration, and streaming platforms to underpin cutting-edge drug discovery processes. Use your technical skills to extend and enrich data management platforms to support new modalities, e.g., Gene Therapy, Proteomics, Functional Genomics and more.
$135,440 - $177,765 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Deep previous experience in the investment management industry and common applicable data domains (clients, portfolios, funds, holdings, transactions, trades, securities/investments, ESG, analytics, performance, IBOR/ABOR/TBOR, benchmarks/indices.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Contribute to day-to-day activities including timeline, budget management, and objective setting in a thriving and growing drug substance group. Responsibilities Support the development of the Drug Substance strategy and oversee manufacturing of preclinical and clinical material.
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We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Design, develop, and deploy scalable data pipelines and ETL processes on cloud-based infrastructure using Azure, Snowflake, DBT, Airflow, Cosmos DB.
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The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation. Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading, and Investment Operations functions.
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Working closely with across groups, such as the product, engineering, data science, compliance, and security teams, for data modeling, general management of data life cycle, data governance and processes for meeting regulatory and legal requirements.
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They will act as a translator, champion and ambassador of our data platforms, connected data products, analytics, tooling and capabilities across IT. They will possess data and technical skills, strong pragmatic leadership abilities and a deep understanding of data management and governance principles and technologies.
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Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making and optimize drug discovery efforts. Strong subject matter expertise in immune-oncology, cell therapy drug discovery and development including CMC considerations, CAR design, engineering and armoring strategies, innate immune cells such as NK and gamma delta for the purposes of leading drug development projects from start to the clinic.
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Data Management Principles and Data Governance Lifecycle and standards and tooling. The ideal candidate will have a strong background in data architecture, investment management domain, technology, data, and with supporting large technology implementation projects.
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data management drug jobs Title: president in Quincy, MA
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