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QualificationsBachelor`s degree in quantitative field with 7+ years, typically 10 or more years, of related experience with economics, financial markets and data science. This level reflects broad knowledge of economics, financial markets, analytics and data science and experience applying technical knowledge to business issues.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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3+ years experience in clinical informatics, bioinformatics, clinical data science, or clinical data engineering. As a Senior Health Information Scientist at Ontada, you will design information systems that power analytics and data science, guiding the delivery of precise cancer care.
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Strong background in at least two of the following areas: computer vision, machine learning, localization and mapping, and data science. Bachelor's degree in Computer Science, Computer Engineering, or related discipline.
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Strong experience in at least one ML framework (PyTorch/TensorFlow/Jax) and robust experience in Python data science ecosystem (Numpy, SciPy, Pandas, etc.) PhD in Computer Science, Applied Mathematics, quantitative disciplines with strong focus in ML, or related field.
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As a new hire you will be provided on-the-job training that will allow you to supplement your subject matter expertise with IQVIA data-science, develop the analytic, skills and business acumen capabilities that will enable you to deliver differentiated necessary to be successful on client engagement solutions.
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The Role We are seeking a hands-on leader in behavioral science and data science! The Expertise and Skills You Bring Bachelor's or master's degree in statistics or data science with experience working with consumer behavior data or a bachelor’s or master’s degree in behavioral science with strong skills in statistics and data science.
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Career Advancement: Gain a competitive edge in the job market and unlock new career opportunities in data analysis, data science, business intelligence, and related fields with Google certification.
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Pioneering Research: Engage in groundbreaking research projects that are driving the forefront of biomedical science. Experience using quantitative data analysis software helpful (e.g., SPSS, SAS, Minitab.
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We are looking for a passionate Data Visualization Analyst. Technical expertise regarding data models, database design development, data mining and segmentation techniques. BS in Mathematics, Economics, Computer Science, Information Management or Statistics.
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Bachelor's degree in a Chemical or Biological science, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements. Benefits: All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
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About Us :At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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MSc or preferably PhD in Mathematics/Physics/Engineering/Data Science or similar. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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Offering expert guidance from concept-through-commercialization, including product design and engineering, preclinical and clinical development, data management, market access, regulatory affairs and quality assurance, Veranex enables accelerated speed to market, controlled development costs, development risk mitigation, and accelerated market viability assessment.
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Bachelor's degree in computer science, system analysis or a related study, or equivalent experience. Provide options for data integration other than the current interface landscape. Minimum of five years in a Business Analyst role with implementation experience in one or more of the following disciplines: large scale data integration across platforms, application development, application programming interfaces (APIs) or database management.
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data science jobs in Boston, MA
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