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US Field Medical Medical Science Liaison, Neurology – East PA, MD, DC, DE, VAThe MSL role embodies our medical mission to be recognized as the trusted partner for internal stakeholders and the healthcare community, driving scientific exchange to enhance medical education, data generation, insight generation and patients’ access to medicine.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Quality Management Maintain project compliance with corporate and public regulationsMaintenance and Support ProcessFollowing customer acceptance of initial project, transition to maintenance mode, confirming support channelsHelpdeskWeekly delivery confirmation emailMonthly/ check-in meetings with colleagues from customer success and salesRequirements Have a University degree preferentially in Biology or in Pharma, Biochemistry (PhD or master) or related Data-Science Fields.
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This team is responsible for building data pipelines and delivering predictive modeling and data science solutions to our business partners that will meet business objectives and move-the-needle to improve upon key performance metrics.
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The SCADA/MES Data Engineer is responsible for leading our IT-OT integration efforts, driving digital transformation, and supporting operations management. Strong understanding of data skills and tools, including cloud services such as Azure IoT Hub, Azure Data Factory, databases such as MSSQL, MySQL, SQLite, and BI tools such as Excel, Power BI, Tableau, and Knime.
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The Division of Health Policy and Center for Health Incentives and Behavioral Economics is seeking a highly motivated Research Coordinator A/B to be responsible for the day-to-day execution of research activities for multiple studies that adapt existing behavioral science approaches to reduce atherosclerotic cardiovascular disease (ASCVD) risk for Penn Medicine patients.
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Please address your application to: Grace X. Ma, PhD, Director, Center for Asian Health, Associate Dean for Health Disparities, Laura H. Carnell Professor and Interim Chair in the Department of Urban Health and Population Science C/O Jessica Vega, Senior Physician/Faculty Recruiter, Lewis Katz School of Medicine at Temple University.
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Strong foundational knowledge in data science, including expertise in model building, machine learning, NLP, and statistical techniques. Employ expert data analytics and data science skills to extract insights, build predictive models, and develop machine-learning algorithms.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of data visualization technologies such as Tableau, Power BI, Qlik and Spotfire.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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The clinical research coordinator (CRC) will coordinate and support the development of study materials, recruit and consent participants, collect and enter quantitative and qualitative data, create and maintain databases, and prepare and submit IRB documents.
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Your Impact Provide oversight with collecting, compiling, and analyzing data from the physical work site, surveys, blueprints, GIS data, subsurface utility information, maps, hydrologic analysis, geotechnical data, and other matrices for project development, design, and construction.
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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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The candidate should also have a desire to learn and enrich their knowledge in data science, machine learning, and other related fields. Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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data science jobs Title: consultant Company: Unitedhealth Group in Philadelphia, PA
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