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The ALM Data Scientist will design and build securities, loan and deposit exposure and pricing models used in asset/liability management (ALM). The Data Scientist will make strategic recommendations on forecasting, risk management, and macroeconomic outlooks for balance sheet management.
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The Data Scientist is a key role in the transformation of business. + Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc.
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As a Principal Scientist within this organisation, you will be utilising your expertise to design and execute protein engineering strategies, design and develop new assays for kinetic and stability characterisation and to transfer results from early-stage concept into manufacture-ready developments.
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Job Description Data Scientist Location: Waltham, MA Get To Know The Team: Your deep experience with artificial intelligence, NLP, language models and advanced analytics is matched by a passion to build great products, lead innovation, be a mentor and guide to other Engineering team members.
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Master's degree (or foreign degree equivalent) in Biological Engineering, Biotechnology, Cell Biology, Molecular Biology or closely related field, plus 2 years of experience in any scientist, or related position.
$115,000 - $133,000Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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As a Scientist / Senior Scientist, you will work with our Discovery Services team to support the discovery of antibody-based therapeutics. Family planning support up to $45,000 (e.g., IVF/PGT, adoption, surrogacy, egg retrieval.
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Bring your people analytics, social science research and data mining/science skills to a unique team seeking to understand, and shape, the future of the digital workplace. In addition to your existing people analytics work experience, this role will combine your skills in psychology, data analytics and visualisation, to help create a more effective workplace.
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Design, plan, and execute in vitro and in vivo experiments to generate preclinical data that supports the development of Elektrofi’s technology platform via Critical Quality Attribute (CQA) analysis.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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We are seeking a highly motivated Bioinformatics Scientist who wants the opportunity to significantly impact the growth and success of our RNA genomics programs. Execute existing standard analysis pipelines on Next Generation Sequencing (NGS) data using the AWS cloud platform.
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Experience with Unix/Linux, HPC environments, and high-level commonly used data science programming languages (e.g. R, Python). This role demands a dynamic individual with a passion for pushing the boundaries of data sciences in the realm of healthcare, contributing to the evolution of innovative solutions in the field.
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Under the general supervision of the Manager and Clinical Supervisors, the Medical Laboratory Scientist II (MLS II) may assist with assigned workstations including Quality Control (QC) review, instrument maintenance and troubleshooting, training, competency assessment of staff, operations, and inventory management.
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Land IQ, LLC is seeking a Remote Sensing Scientist in its Sacramento, California office with a specialization in data driven analytics and algorithm development with digital images for agricultural and other land use applications (crop classification, yield modeling, land use impacts, land use change, etc.
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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. Experience in building and designing solutions for data warehouses and experience in working with large data sets in Oracle and Snowflake.
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The Principal Scientist, Computational Biology leads the development and deployment of computational methods for NGS-based clinical diagnostic assays in our clinical labs. Experience developing algorithms and tools for analysis of large data sets, including prior experience with genomic and NGS data.
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Title: data scientist Company: The Lubrizol in Boston, MA
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