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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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An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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PhD or equivalent in public health, epidemiology, data science, machine learning, data science, artificial intelligence, computational biology, computer science, statistics, mathematics, or other quantitative field.
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Job Description: The Role We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities.
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Keywords: Genomics, Single cell omics, Computational biology, Statistics, Data science, imaging. Background in computational biology, (bio)statistics, statistical genetics, computer science, mathematics, or a related quantitative discipline desired.
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Expertise in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in the Python data science ecosystem. PhD in applied mathematics, computer science, physics, computational biology or other quantitative disciplines.
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Currently pursuing Bachelor’s, Master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
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Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred. This will entail working closely with our portfolio management, quantitative research, platform, data, and technology teams.
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The Multidisciplinary Eating Disorders Research Collaborative (MEDRC) at Massachusetts General Hospital and Brigham and Women's Hospital is seeking a full-time post-bac clinical Research Assistant (I or II) with a strong interest in neuroscience and quantitative subjects including data analysis or computer science.
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Basic Qualifications:PhD in a quantitative subject e.g. Bioinformatics, Biostatistics, Computational Biology, Epidemiology with combined academic and or industry experience of 8+ years. Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous.
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Significant relevant experience after your MD/PhD/postdoc including quantitative expertise in biostatistics, bioinformatics, computer biology, statistical genetics, clinical imaging, machine learning, or data science; interpreting and publishing studies consisting of "omics" data e.g. genetics, genomics, proteomics; closely partnering with/leading data scientists.
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At least five (5) years of professional experience in institutional research leadership and conducting outcomes assessment and/or applied social science research (quantitative, qualitative, mixed- and multi-method) preferably in a higher education setting and including three (3) years of team supervision.
Starting at $164,900 - $206,150Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A degree related to transportation, urban/regional planning, geography, data science, economics, or public policy. Interest in planning and policy research and the ability to blend qualitative and quantitative analyses.
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Using advanced neuroimaging techniques, you will lead the development and implementation of fMRI protocols, data analysis, and interpretation to provide valuable insights into the impact of mindfulness, compassion and IFS on brain function.
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Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics or a related quantitative discipline with at least 3 years experience working on real-world data. The successful candidate will focus on developing and applying innovative computational approaches to analyzing proteogenomics data spanning genomics, transcriptomics, proteomics, phosphoproteomics and other posttranslational modifications from cancer, cardiovascular, infectious and other diseases being actively studied in our group at Broad.
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data science quantitative jobs in Somerville, MA
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