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Manage and maintain vendor budgets for assigned clinical trials and process flows and data exchanges with global pharmacovigilance for clinical trial serious adverse events. Complete trial-specific Statement of Work (SoW) based on parameters supplied by Master Service Agreement (MSA) for Electronic Data Capture (EDC), electronic Patient Reported Outcomes (ePRO) and Interactive.
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We want Data Science/Machine Learning/Data Analyst and Java Full Stack candidates. Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. Currently, we are looking for entry-level software programmers, Java full-stack developers, Python/Java developers, data analysts, data scientists, and machine learning engineers for full-time positions with clients.
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Master’s degree in economics, biostatistics, sociology, psychology, political science or other social science, survey methodology, data science, or related field is required.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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The ideal candidate will be responsible for designing, developing, and enhancing the Python data science tools and frameworks. Machine Learning Engineer – Work From HomeWe are seeking a talented and self-motivated Machine Learning Engineer to join the growing data science efforts.
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To ensure success as a DataStage developer, you should be skilled at applying ETL principles and practices, and be able to implement complex solutions to data transfer problems at an enterprise level.
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Various fringe benefits such as Nationwide Pet Insurance, Ventra Benefit Program (pre-tax dollars), T-Mobile Unlimited Talk, Text, and Data, phone plans for only $30 per line (up to 4 lines) and more.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.
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Functional experience in at least one of the following areas desired, but not required:Proficiency with urban data science analytical techniques and familiarity using multiple public datasets including BLS, BEA, NAICS data, ACS and other geographically-defined socioeconomic datasets.
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Basic Qualifications: A bachelor's degree, preferably in a technical discipline, e.g., computer science, data science, engineering, applied mathematics, or closely related field or equivalent on-the-job experience.
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Applicable experience, training, and certifications with asbestos, lead-based paint, air quality, low-level radioactive waste, GIS data analysis and geostatistics, hydraulic and hydrologic modeling, sediment remediation and habitat restoration design, or emergency response (e.g., ICS) is highly desired.
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The lab, funded predominantly by agencies of the U.S. Department of Health and Human Services for more than 15 years, employs about 20 full and part-time researchers and staff across disciplines including epidemiology, gerontology, anthropology, neurobiology, cancer biology, public health, and data science.
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Or R, LLM, Machine Learning, Data Science/Engineering is a plus. Experience with Data warehouses – including SQL databases, Snowflake and/or Databricks. Experience in process automation, data analytics/engineering, ETL data manipulation, LLM models, business intelligence data analytics tools i.e. PowerBi or Tableau.
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