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PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.) Oncology, Neurology, and/or Immunology experiences are a plus.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Requirements: PhD in Chemical Biology, Biochemistry, Biotechnology, or a related field plus two years of drug development experience identifying Key Opinion Leaders/physicians, searching, identifying, and comprehending scientific and medical literature, and reviewing scientific literature and preclinical findings associated with the protein structure function.
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We’re seeking a future team member for the role of VP, Data Scientist to join our Business Intelligence team. Experience with Financial, particularly Investment management data a plus.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Medical technologist, clinical laboratory scientist, medical tech, clinical laboratory technologist, medical laboratory technologist, laboratory, clinical laboratory tech, allied, allied health, cls, mt, med tech.
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Qualifications · Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics) · 1-3 years of Property-Casualty insurance work experience preferred.
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High School Diploma or equivalent required, preferred currently enrolled in college courses in Digital Forensic Science, Computer Science/ Engineering, Computer Information Systems, Mathematics, Criminal Justice, or a related field and one or more years work experience in computer hardware, network administration, or cyber-crime investigations.
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Extensive experience with bid date and tools such as Excel, SQL, ArcGIS, R, and Python - Experience with commercial data systems such as Accurint, Talx, USPS Address Forwarding is a plus - Background in project management or fraud investigations is a plus.
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Master of Science degree in Computer Science, Engineering (Any Branch), Information Technology, Computer Applications/Applied Computer Science or Computer/Management Information Systems plus two (2) years of experience as Software Developer, Software Engineer, Computer Programmer, Systems Analyst, or related position.
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Minimum education and experience required: Bachelor's Degree in Electronic Engineering, Computer Engineering, Computer Science, Computer Information Systems, Statistics, or related field of study plus 7 years of experience in the job offered or as Data Scientist Lead, Analytics Solutions Manager, Service Architect, IT/Systems Engineer, or related occupation.
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Ability to design cloud and on premise data solutions and provide guidance across storage, big data platform services, Big Data ecosystem, vendor SaaS integrations, RDBMS and NoSQL databases is a plus.
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Familiarity with Agile Scrum principles and ceremoniesPreferred Qualifications 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, exposure to reliability engineering best practices a plus.
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