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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Requirements: Requires a Bachelor's degree, or foreign equivalent, in Statistics, Business Analysis, Administration (any) or related field and 5 years of progressively responsible, post-baccalaureate experience as a, Data Science Lead Analyst, Data Science Senior Analyst, Compliance AML Core Senior Analyst, Compliance AML Risk Management Senior Analyst, or related position using AML and KYC to develop customer risk scoring models for the banking industry.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Relevant Sciences include Neuroscience, Psychological/Cognitive Science, Social Work and Biological Science. Strong analytical skills, with experience in data analysis, data management, and potentially computer coding, as applicable to research in dental biomaterials or related scientific inquiries.
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Responsible to analyze the trade / transaction monitoring alert from a trading platform and apply modern data science modeling techniques to predict future disputes & anomalies to proactively manage the risk.
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Hands-on development experience with Snowflake features such as Snow SQL; Snow Pipe; Python; Tasks; Streams; Time travel; Zero Copy Cloning; Optimizer; Metadata Manager; data sharing; and stored procedures.
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Various modeling, simulation, and data analysis roles including but not limited to COMSOL, ANSYS, Python, C. Enrolled in a STEM undergraduate or graduate program (mechanical engineering, aerospace engineering, materials science, electrical engineering, etc.
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Citibank, N.A. seeks a Data Science Lead Analyst for its Jersey City, New Jersey location. Design, develop and improve process to automate end-to-end analytics cycle from source data to final deliverable for senior management.
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Master's degree in information systems, mathematics/statistics, data science, education or a related field requiring data use, research, and/or analytics. Reporting directly to the Director of Operations for Academic Affairs, the Retention Data Specialist will support data-informed decision making, assist in retention and graduation efforts using predictive analytics, early alerts and other early flagging activities based on accurate, real-time data, and train employees in using Navigate and related retention tools.
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7+ years of data engineering experience, including in senior and team leadership roles, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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PhD in psychology, cognitive neuroscience, cognitive science, clinical/health/rehabilitation sciences or related fields. Experience/interest in analysis of behavioral and neuroimaging data using analysis software, for example, R, FSL, Freesurfer, Python.
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As aPeople Analytics Senior Consultant,you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
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Quantitative Finance Analyst -Financial Crimes Data Analyst. 2+ years of experience in model development, statistical work, data analytics or quantitative research or PhD. Python and PySpark serve as our primary programming languages, in addition to SQL for extracting data from Hadoop and other databases.
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data science jobs Title: senior manager Company: Apple in Nutley, NJ
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