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Doctoral degree and 7+ years of experience in a research discipline relevant to patient-centered outcomes research (e.g., clinical epidemiology, health services research, sociology, psychology, health policy, biostatistics, economics, bioinformatics, data science, education or health education.
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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role spans the spectrum of data capabilities from data vision and strategy all the way through data science, in addition to cloud, DevSecOps , and integration capabilities.
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This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science. Data Science contributions include assessing, understanding, designing, and implementing machine learning and AI applications, designing MLOps pipelines, and supporting data scientists.
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The Mission of Sanofi's MSL Team and the Medical Science Liaison is to be the trusted scientific partners in the field for external experts and decision-makers; engaging in mutual scientific exchanges to accelerate data dissemination.
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We are looking for a Principal Product Manager-Technical to own whole page organization and layouts across search. Principal Product Manager, Technical, Search Customer Experience Hundreds of millions of customers.
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SUMMARY: Cornerstone Search Group’s HEOR/Market Access/RWE/Data Science practice has been retained by a profitable, commercial-stage, and publicly-traded rare disease pharma for a newly-created and remote-based Associate Director, Health Economics & Outcomes Research position.
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Technology Tools: AWS, Open Search and Python Data Science tools. , AWS, Big Data/Cloudera, VMWare, Scrum Master. and sophisticated data analysis in support of key Agency, US national security, and foreign policy.
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Religion, social and forensic psychology, and data science/statistics. various fields, including (but not limited to): political science, international relations, study of. Criminal History Screening, Education/Degree/Certifications Verification, Social Security Number Trace, and Sex Offender Registry Search.
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Experience with two or more of the following: Python, Silk, JSON, Data Analytics, MongoDB, Elastic Search, Postgress, Ansible, Vue.js, React, HTML, Kubernetes, Docker, Podman, AWS, View Jazz Framework, Process Automation, UI Development, CI/CD knowledge.
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Data Science frameworks such as Keras, Tensorflow, or Theano. Experience with search architecture tools (ex - Solr, ElasticSearch) Our work depends on Software Engineer Senior joining our team to develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning and use the right combination of tools and frameworks to turn a set of data points into objective answers to help senior leadership make informed decisions.
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Big Data Frameworks such as Spark or Hadoop. BS/BA in Software Engineering, Science, Mathematics, or similar OR equivalent combination of education and experience. Experience with JavaScript / Typescript Experience with front end development (ex - Angular 2+, React, HTML, CSS, JQuery.
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Proficiency in Apra’s Body of Knowledge Prospect Research and Leadership domain with general understanding of Relationship Management and Data Science domains. Skill in using data to inform strategy, execution, planning, resource allocation, and measurement of activity and performance.
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Advanced Technology Account Executive-Federal NAVAIR The role of the Advanced Technology Account Executive is to drive product gross profit (GP), service revenue, and Data Center revenue across a balanced portfolio in Advanced Technology Solutions.
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You will closely partner with outstanding talent across engineering, data science, seller communications and marketing as we build an industry leading search experience. At BagZag, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe.
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Perform data science/engineering with little guidance and independently write reports detailing methods, results, and impacts to assigned issues. Support in the acquisition of systems, software, and data science related capabilities.
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