5 jobs found

As part of the Data Monitoring and Management group, an integral delivery unit within the Global Biometrics and Data Management (GBDM) organization, the Data Manager is responsible for timely and high quality data review and query management of clinical data supporting the Pfizer portfolio. The Data Manager develops and maintains key data management deliverables used to collect, review, monitor, and ensure the integrity of clinical data. ROLE RESPONSIBILITIES Serve as Data Manager for one or more clinical trials assuming responsibility for DMM activities including selection and application of data acquisition standards, database design (including specification documentation and testing of clinical data collection tools, both CRF and non-CRF, using an EDC system and/or other data collection systems), development and maintenance of the Data Management Plan, data review and query management, data access and visualization, Data Management metrics reporting, database release, and...

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. Snowflake is looking for an experienced Website Optimization Manager to drive performance optimization of snowflake.com and related subdomains plus various online-focused marketing campaigns. RESPONSIBILITIES: Leverage web analytics tools (GA, Bizible, Snowplow, etc.) to provide data-driven suggestions to demand generation functional areas (inbound, outbound, product marketing, content, field) to improve website performance. Monitor key site performance metrics and manage...

About the Job Join us and be a part of a start-up cell of a large international company where you will be working with state-of-the-art technology, make use of NLP and Machine Learning, and where your career can grow exponentially. You will be part of the Paperpal team powered by CACTUS, where we are rethinking how science is communicated and helping scientists write better science smarter. You will be part of an international working environment with employees across the EU and Asia, who work together to build cutting-edge web experiences and APIs used globally by scientists. This is a remote working opportunity . Responsibilities: Write new functionality in an existing frontend framework, a modern tech stack with React, Node.js, Redux and Typescript , with focus on the Typescript part of the stack Working with tools, technologies and plugin architectures that will challenge your abilities to write and work in asynchronous editing scenarios to achieve...

Provides automation solutions for complex projects from an end-to-end perspective including, front-end, middle-tier, and back-end data providers, using Automation frameworks (Selenium), Java and JavaScript, Cucumber DBB framework, and REST Assured. Participates in Scrum activities -- test coverage reviews, story grooming sessions, and sprint planning. Develops and automates manual test concepts using Behavior Driven Development (BDD). Provides business solutions by developing complex or multiple software applications. Primary Responsibilities: Develops original and creative technical solutions to on-going development efforts. Designs applications or subsystems on major projects and for/in multiple platforms. Develops applications for multiple projects supporting several divisional initiatives. Supports and performs all phases of testing leading to implementation. Assists in the planning and conducting of user acceptance testing. Develops comprehensive...

Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...