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Expert knowledge of at least one data science programming language (e.g. Python, R, Julia, etc.) Earned graduate degree (Ph. D. or M.Sc. + 2 years relevant industry experience) in a highly quantitative discipline (e.g., machine learning, statistics, computer science, applied mathematics, theoretical physics, physical chemistry, econometrics, bioinformatics.
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2+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, PL/SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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Experience with quantitative research tools and libraries (e.g., pandas, NumPy, SciPy, TensorFlow) and data visualization techniques. Strong proficiency in programming languages such as Python, R, MATLAB, or C.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Implements quantitative strategies and portfolio analytics platforms, using R, Python, Git, subversion, and data science pipelines' best practices in data extraction, transformation, and computing.
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The team will work closely with Research, Investment Operations, Data Science and Risk across topics such as portfolio construction, rebalancing, collateral management, technology infrastructure and automating processes.
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Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study. Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Experience with general programming and data analysis tools/languages such as MATLAB, Python, R, Spotfire, etc., is required. Our QSP & PBPK team has established expertise, impact, and tools, and we are looking for a highly motivated scientist to develop and apply Quantitative Systems Pharmacology (QSP) models with a primary focus on hematology, oncology, and cell therapy applications to primarily impact clinical development.
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Knowledge of immunology especially as applied to immuno-oncology applications is a plus. + Knowledge of current practices and issues in pharmaceutical R&D in disciplines such as clinical pharmacology, bioanalytical, biopharmaceutics, and toxicology.
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Hands on experience in applied economic analysis with big data, machine learning, causal models, and data science. The FBA team is looking for a Senior Economist with strong machine learning, causal inference, and econometrics skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists.
$127,300 - $247,600 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Biophysics, PKDM, CompChem, R/R-shiny or Python expertise. We are seeking a highly skilled Product Consultant (Technical) with 8 to 10 years of experience in AI/ML modeling and building Biophysics systems on R/R-shiny.
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Experience with processing quantitative data sets, including familiarity with analytical software tools (Matlab, R, Python, C#, LabVIEW, etc. + Concept development of sensor systems that can be applied to detecting hazardous materials (chemical, biological, radiological, nuclear or explosive.
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Master's Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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applied quantitative data science r python jobs Company: Atlantic Group
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