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The Department of Data Science at Dana-Farber Cancer Institute welcomes recent Ph. D. graduates and doctoral candidates nearing graduation who have research interests in applied statistics, machine learning, or computational biology to apply for our postdoctoral fellows program.
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This could include a Master's or Ph. D. in Computer Science, ML, Data Science, or a related field, with a focus on machine learning or NLP. 3+ years of professional experience (or equivalent) in software engineering, data science, AI/ML development.
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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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The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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Perform deep-dive analyses using SQL & Python, leveraging data science and big data tools to garner actionable insights and identify and clean complex data quality issues. Bachelor’s degree (Statistics, Math, Computer Science, or related field) and a minimum of 2 to 5 years related experience and/or training; or equivalent combination of education and experience as a data engineer/analyst/scientist.
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Master’s degree or equivalent experience in statistics, computer science, data science, psychometrics, or related fields. With a focus on analytics, data science, machine learning, and AI, we aim to anticipate workforce trends, optimize talent management practices, and create personalized experiences that empower employees to thrive.
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Experience with cloud-based data storage, analytics & data science platforms. Strong Programming skills with good understanding of concepts such as OOPS, design patterns, master data management & Ontology development.
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BU ECE faculty lead and participate in several high-profile, multidisciplinary research centers, including the Photonics Center, the Rajen Kilachand Center for Integrated Life Science and Engineering, the Neurophotonics Center, and the Center for Computing and Data Science.
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ACCOUNTABILITIES: Contribute to representing data science function on project teams in support of nonclinical studies throughout analytical development, formulations development, and other CMC functions.
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Explores and excels in synergistic relationships with experts in digital health, global outcomes/epidemiology, biostatistics, and other key data science disciplines. These scientists (from quantitative clinical pharmacology, statistics, programming, outcomes research and epidemiology, patient safety & pharmacovigilance, digital strategy, library sciences and data architecture/governance) bring their expertise to our global program teams and reimagine our disciplines.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Understanding of biomedical/biomarker data and/or other life science data. Rancho Biosciences is seeking a data curator with a solid foundation in life science for a full-time role with the company.
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Develop and implement a comprehensive data strategy that includes all aspects of data quality, data governance, data management, information strategy, and data science.
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This individual will lead high profile data science and artificial intelligence projects working closely with Technology, Product Management, and others across multiple business units and teams to develop AI-based solutions by developing advanced AI models and technologies with Natural Language Processing(NLP), Large Language Model(LLM) and Machine Learning(ML), and developing 401K Plan Knowledge Graph and Ontology to enable high performance of the AI models.
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Minimum of one (1) year of experience with strong domain knowledge in data science and informatics with a focus on experimental data interpretation and specimen management. Degree requirement: PhD in Computational Biology, Bioengineering, Applied Mathematics, Bioinformatics, Cheminformatics, or a related discipline with a multidisciplinary focus on computational science.
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data science jobs Company: Nike Inc in Jamaica Plain, MA
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