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Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
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Master’s degree in Statistics, Econometrics, Data Science, or equivalent combination of education and related work experience. 10+ years of experience performing advanced customer data analytics, customer segmentation, data mining and data science.
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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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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Bachelor's or Master's STEM degree - computer science, data science, economics, mathematics, actuarial sciences, engineering, or physics preferred. Use client data and industry losses to perform model validation processes that enhance KCC's latest catastrophe models.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc.
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Active collaboration with relevant stakeholders in function areas such as Targeted Protein Degradation, Discovery Biology, Translational Biology, Computational Chemistry and fellow data science teams & IT.
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New York City (Hybrid On-Site): $181,000 - $181,000 for Data Science PhD Intern San Francisco, California (Hybrid On-site): $191,000 - $191,000 for Data Science PhD Intern Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
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Represent oncology on the Biomedical Research Computational Science Council (CSC - a group advancing the interests and impact of all data science capabilities across BR). Minimum of a University Degree with a PhD or MD equivalent in computer science, data science, biology, chemistry or medicine.
$470,400 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Work closely with individual clinical teams as well as functional area partners (e.g., Translational research, Precision Medicine and diagnostics, Regulatory Affairs, Market Access, Clinical Development) to identify and implement end-to-end Data Science solutions aimed at facilitating decision making.
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As a key member of the Sail Data Science Team, the Data Scientist (I/II) will work as part of a cross-disciplinary team of experimental, computational, and machine learning scientists and engineers to drive the development and extension of Sail’s AI-driven programmable medicine platform, thereby pushing a new class of RNmedicines towards the clinic.
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Work with colleagues in data science and machine learning teams to establish protocols to feed analyzed assay data to our machine learning models. Master's or PhD in Computational Biology, Computer Science, or a related field with 6 + years of experience.
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The Department of Data Science at Dana-Farber Cancer Institute is aimed at driving cancer research through innovation and collaboration in the quantitative sciences. The Department of Data Science at the Dana-Farber Cancer Institute is conducting a search for Computational Biologists.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake). The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
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data science jobs Title: san diego Company: Feed in Dorchester Center, MA
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