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The Department of Data Sciences at Dana-Farber Cancer Institute drives cancer research through innovation and collaboration in the quantitative sciences. Statistical Skills: Expert at statistical methodology, and the use of statistical software, coding, data analysis and effective presentation 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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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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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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Demonstrated expertise in the application of methods of statistical learning and data mining to the integrative analysis of high-dimensional molecular profiling datasets in the immuno-oncology context.
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Bachelor or masters degree required with a concentration in computer science, data science, or bioinformatics, biomedical engineering, or exceptional experience with bioinformatics programming.
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The individual should have demonstrable experience and passion for mathematics, statistics, signal processing, image analysis, machine learning, data mining, and data visualization.
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Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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As a CBRE Sr Occupancy Planner, you will provide space planning, data mining, reporting, and interpretation of space planning metrics for large and high-profile clients needs. Whether it is a single occupancy plan to support project delivery or ongoing space management services to maintain accurate occupancy data, the CBRE platform brings together subject matter authorities passionate about providing the best solutions to improve portfolio insights.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics. 5+ years of experience in applied data science or quantitative research or related role.
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Design standard processes for analytical platforms, data engineering, data quality and governance, data science and Machine Learning (ML) methodologies. The Director of Enterprise Data Systems (EDS) must have a deep technical background in data and analytics to shape enterprise data strategy and offer insightful data solutions to business partners.
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Requirements: Education and Experience Bachelor’s Degree in public policy, public administration, business analysis, organizational development, economics, urban planning, finance, statistics, computer science, political science or a similar field, and three (3) years of experience; or any equivalent combination of education, training and experience which provides the required knowledge, skills and abilities to perform the essential functions of the job.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Science or a related field plus one (1) year of experience as a Data Analyst or a related occupation performing advanced analytics using predictive modeling and machine learning algorithms.
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data science mining jobs Company: Amazon in Boston, MA
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