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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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Similarly, the NOAA Geophysical Fluid Dynamics Laboratory (GFDL) has world-leading expertise in climate modeling and access to valuable climate, weather, and air quality data. Applicants should have training and a significant track record in one or more of the following areas: -AI, deep learning methods-atmospheric, climate, and/or weather modeling-computer science, statistics, and/or machine learning with applications relevant to genomics-population genetics / genomics.
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Maintains GMP records (document storage, archiving, retrieval) Supports GPQ IMP R&D Metrics/Dashboards/Management Reviews by compiling batch record review/release data and/or other ad hoc reporting requests.
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Strong proficiency in data science Python/R libraries. Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and data science to continuously enhance skills and knowledge.
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Bachelor's degree in Environmental Science, Geology, Hydrogeology, Environmental Engineering, or related environmental field required. Write detailed client facing ESA and PCA reports including the preparation of accurate data/summary tables and/or figures.
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A Bachelor's degree in subject areas such as Library Science, Linguistics, Mathematics, Statistics, Data Science, Computer Science, or other computer-related specialization.
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As a visible RWE/D champion within the US organization, will interact with a wide number of NNI stakeholders across not only Clinical Data Science and Evidence (CDSE) but more broadly within Clinical, Medical and Regulatory, Market Access and Public Affairs, as well as collaborating where appropriate with therapeutically aligned global counterparts in Epidemiology, Data Science and Global Evidence and Pricing Access.
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The Position The Director - Epidemiology leads the development and execution of observational research studies completed in line with the needs identified during the annual Evidence Generation Plan (EGP) process at NNI, acting as Primary Investigator (PI) on the execution of Real World Evidence (RWE) studies which utilize data sources within the Novo Nordisk data platform and acting as PI / providing support as a study team member for additional RWE studies performed with external data sources.
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Who You AreRequired Qualifications High school diploma or equivalent 3 years of engineering, science or technology education or training or 2 years of environmental field tech experienceAbility to use laboratory and/or test equipment in an effective and safe manner Preferred Qualifications Strong work ethic and high degree of flexibility and patience to adjust to changing work priorities.
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Programs that run on embedded Linux-based Edge devices; 1 year of experience scripting in Python for CI/CD test automation; 2 years of experience developing IIoT-based communication frameworks to exchange data with Cloud; 2 years of experience performing communication driver development on Microcontroller.
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Specialization in supply chain with experience in data engineering, data science or advanced analytics fields is strongly preferred. Global responsibility for deployment of assigned Digital Identification & Traceability (DI&T) products (e.g., 2D Barcode, Serialization, Unique Device Identification - UDI, Global Data Synchronization - GDS.
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Bachelor's Degree (Data Science, Computer Science, Statistics, Bioinformatics, or related discipline). Experience implementing CDISC standards is desirable. Knowledge of EDC development and visualization tools (PowerBI, Tableau) is an asset.
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Bachelor’s Degree (Computer Science preferably) Job description: This position will be dedicated to the Clinical Data Warehousing & Delivery function within the Clinical Data Reporting & Analytics group and contribute to the improvement of clinical data review, cleaning efficiency and formal statistical analyses by providing innovative and forward-thinking Extract Transform and Load (ETL) solutions.
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Our team possesses deep expertise in leading digital transformation, enterprise data analytic and AI, Data science and advanced analytics and building end to end digital. The types of solutions include Digital Strategy and Advisory services, end to end Transformation Management, Enterprise Data, Analytics and AI, Intelligent Automation, reimagining business processes with digital first lens and building Digital Products, Solutions and Digital Platforms leveraging Big Data Technologies, AI/ML and Advance Analytics, Digital Platform configuration and integrations.
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A four-year degree in computer science or equivalent work experience Knowledge of Oracle SQL / PLSQL and RDBMS is a must Knowledge of Excel Add-In / VBA development is needed. SLATE Technology team are looking to hire a senior Business Data Analyst/PM with limited development role to work on the new FRTB application.
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data science jobs in Hopewell, NJ
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