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Candidates for this position require an Associate's degree in an accredited Biomedical Applied Science or Electronic Engineering Technology program or related field or an equivalent combination of education, manufacturer certification/s, and experience required.
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Provide military science instruction and training and field instruction and training in accordance with Cadet Command’s program of Instruction (POI), syllabus, and other ROTC-directed or emerging training in various settings on and off campus, to include field environments.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Overview At SIG, the Sports Analytics team builds statistical forecasting models that help provide liquidity for the sports betting industry.
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Principal Investigator of Immunology, Therapeutics, Large Molecule, Flow Cytometry, In Vivo, In Vitro, Western Blot, ELISA, PCR, Research, Science, Comprehensive Benefits Package, Health, Vision, Dental.
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Your expertise in Microsoft Azure data platforms, combined with your data science and software engineering skills, will be crucial in driving our data strategy forward. 8+ years of experience in data engineering, with a strong background in data science and software engineering in pharmaceutical industry preferred.
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Certificates/Licenses Commonwealth of Pennsylvania Instructional certificate in Library Science K-12, Elementary Library Science or a letter from a certification officer stating that the student has completed all required coursework and student teaching, has successfully completed ALL PRAXIS and is being recommended for certification.
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3+ years of experience with data applications and tools (Snowflake, Databricks, Spark, EMR, Presto, Datadog, DBT, etc.) To build this topology graph, ROCI consumes data from a number of BSS/OSS, construction, provisioning, planning, and monitoring platforms to create linkages previously unseen across the company.
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The Senior Medical Science Liaison (MSL) serves as a trusted scientific expert and partner representing Bayer in the medical community through the dissemination of and education on scientific data related to Bayer products across the product lifecycle.
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Familiarity with data analysis with statistical software such as R, Stata, or SAS and an interest in learning moreEducation Requirement: A bachelor’s degree in public health, social sciences, economics, data science, statistics, or a related field.
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Track and provide quantitative and qualitative data from MSL activities that demonstrate customer impact to the broader organization and ensure goal achievement. The National Director, Field Medical Affairs (FMA) will be responsible for providing leadership, oversight, and overall direction to the Medical Science Liaison (MSL) and Clinical Device Liaison (CDL) teams.
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Designs, develops, and implements ETL/ELT processes using Azure Data Factory, Synapse pipelines, Databricks Notebooks, Event Hub to build integrations from Saas sources such as Service Now, Workday, Dynamics CRM, and Eloqua.
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Assistant / Associate Professor, Jefferson College of Population Health, Thomas Jefferson University
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We conduct research, provide consulting, and offer masters and doctoral degree programs in applied health economics and outcomes research, health data science, health policy, healthcare quality and safety, operational excellence, population health, and public health (see our Degree Programs page for more information.
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About You – Experience, Education, Skills, and AccomplishmentsBachelor’s in Computer Science or an equivalent experience in software development, with a minimum of 7 years experience in developing and delivering business transformation projects or products using data engineering and AI/ML technologies.
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Outstanding communications, critical thinking, quantitative reasoning, data storytelling, project management, and time management skills. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world.
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applied quantitative data science jobs in Bryn Mawr, PA
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