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My client is a cutting-edge autonomous vehicle robotics start-up dedicated to revolutionizing transportation through advanced technology. Strong understanding of mechanical principles, materials science, and manufacturing processes.
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Ensure the integration of cutting-edge data science techniques and technologies into the drug discovery workflow. Ph. D. in Data Science, Computer Science, Bioinformatics, Computational Biology, or a related field.
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We are seeking a Data Science Associate to join the Digital Asset Management business and report directly to the VP, Data Science. Inclusively is partnering with a multinational financial services company to hire a Data Science Associate.
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Conducts and streamlines quantitative research on signals and factors that predict future stock returns, using data science techniques - large dataset manipulation, Web scraping, natural language processing, and econometrics and statistical techniques.
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor's degree in Computer Science with focus on data engineering preferable.
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As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science. Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
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The BIDMC Department of Pathology has launchednew strategic initiatives in cutting-edge Precision Diagnostics (includingcancer genomics, multiplex biomarker theranostics, and computational/digital pathology.
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An understanding of data science/statistical modeling. Advanced practical experience with data management, reporting, analysis and data visualization software (e.g., Tableau, SPSS, Alteryx, Hyperion, R, Python, Cognos, etc); Experience with Salesforce; Advanced Excel skills; Excellent data visualization, report preparation, and written communication skills, including ability to prepare and deliver presentations to an executive audience; Individual must be able to conduct rigorous, applied research that informs the strategic goals of the university.
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Bachelor's degree in climate science, atmospheric science, Earth science, data science, environmental science, or a related field. + Advanced degree in climate science, atmospheric science, Earth science, data science, environmental science, or a related field.
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As our Lead Data Scientist, you will collaborate with and shepherd the Data Science and Machine Learning team and will create data science, machine learning, and AI solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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2 years: Performing ETL/ELT and SQL coding (using tools such as dbt, Azure Data Factory, Matillion, SSIS/SSMS, Tableau Prep Builder) within a cloud-based data warehouse (such as Snowflake, Oracle, BigQuery, etc.
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Masters, NP, PA) or Terminal science degree desirable (PhD, PharmD, MD)Typically requires a minimum of 5 years of experience as a MSL, or in other medical affairs roles in the pharma/biotech industry or the equivalent combination of education and experience*There are multiple field-based regions in the North West. The successful candidate must live within the identified territory near an airport and be willing to travel routinely based on business needs.
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Faculty may interact with the Broad Institute of MIT and Harvard to develop collaborations using cutting-edge technologies in genetics, genomics, and single-cell biology. The Department of Cancer Immunology and Virology focuses on cutting-edge research on the role of the immune system in cancer, including the development of novel therapeutics.
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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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data science cutting edge jobs Company: Astrazeneca in Boston, Wailuku, Hawaii
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