Top Data & Analytics Jobs
The Procurement Analyst will manage vendor engagement, oversee purchasing processes, negotiate contracts, reconcile invoices, and support asset management efforts. This role requires attention to detail, strong communication skills, and the ability to handle multiple responsibilities effectively.
The Study Manager oversees preclinical studies involving Neuralink devices, ensuring compliance with GLP, managing project timelines, compiling and analyzing data, and writing scientific reports while collaborating cross-functionally with various teams.
The Patent Scientist/Agent will prepare patent applications and responses to Office Actions for the U.S. Patent and Trademark Office, while working towards certification to practice as a Patent Agent. The role requires strong writing skills and a detail-oriented approach, perfect for scientists interested in intellectual property law.
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As a Geospatial Data Scientist, you will derive and visualize geospatial insights using customer datasets in a visualization application. Responsibilities include working with geospatial software, conducting data science methodologies, and utilizing visualization software for large datasets.
The Sr. Data Engineer will design, code, and maintain data pipelines, ensuring data is clean, processed, and harmonized from various sources. Responsibilities include implementing scalable data pipelines using ETL, optimizing data architecture, and utilizing cloud technologies to meet business objectives.
The Database Administrator will manage PostgreSQL and MySQL databases, focusing on security, performance optimization, backup, and disaster recovery. They will assist in capacity planning, automate tasks, and work collaboratively with development groups to enhance database applications. The role requires a proactive approach to learning new technologies and maintaining database reliability.
The Cellular Assay Scientist will develop, validate, and execute assays in a clinical immunology lab, focusing on Neutralizing Antibody Assays and other immunocellular assays. Responsibilities include designing experiments, analyzing data, improving SOPs, troubleshooting scientific issues, and ensuring safe lab practices while collaborating with technical teams and supporting new equipment qualifications.
The Business Analyst will manage project plans, schedules, and success criteria while acting as a liaison between customers and development teams. Responsibilities include gathering requirements, writing functional specifications, overseeing user acceptance testing, and serving as a subject matter expert on projects.
The Data Engineer will develop advanced AI solutions, process large data sets, and create prototypes using algorithms. Responsibilities include data organization, real-time business analytics, and collaborating with data scientists. The role requires developing efficient Python code, using Azure tools, and ensuring best practices in data management.
The Data Scientist will design and develop solutions to support USINDOPACOM J6 programs, utilizing data science skills to create data pipelines, models, and visualizations. Responsibilities include project formulation, dataset structuring, collaboration with experts, maintaining solutions, and producing technical documentation within a fast-paced Agile environment.
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