Location : Pearl River New York 10965 We are seeking a highly motivated full-stack web application developer (contract) with exceptional programming skills to join Vaccines R&D in Pearl River, NY, contributing to the research efforts for various vaccine research programs.

Location : Wilmington, DE, 19805 Detail-oriented and results-driven professional with a Bachelor’s degree in a technical field and over 3 years of experience in the chemical industry, specializing in SAP Material Master Data management. Skilled in data governance, system optimization, and cross-functional collaboration across supply chains, quality, purchasing, and finance teams. Recognized for strong problem-solving abilities, effective stakeholder management, and a proven track record of driving process improvements while meeting critical deadlines. Adept at working independently, delivering high-quality results, and ensuring seamless ERP integration to support business operations.

Location : REMOTE (Chicago IL) We are seeking a highly skilled and motivated Machine Learning/Deep Learning Engineer with expertise in neural network development, GenAI technologies, and cloud-native deployment on Azure. This role will be instrumental in designing, training, and deploying advanced AI models across text, image, and audio domains, while also managing scalable cloud infrastructure and APIs.

Location : Phoenix AZ USA 85281 This role is a part of the Data Engineering and Analytics team within our Technology group. You’ll bring your data engineering, collaboration and analytics skills to help cultivate a data driven culture by designing and delivering analytics solutions and making data analytics easier and more effective for American Airlines.

Location : Tampa FL The Site IT lead is responsible for effective collaboration between IT and the business functions at the locations under his assignment. Ensure adequate, reliable and consistent IT services are delivered at the sites. Act as a key contact & escalation point towards site business leadership team for any IT related matters.

Fully Remote (EST, CST preferred, but will consider PST) Initial Assignment is 10 weeks (10/6/25-12/19/25), but will be an additional 10 weeks beginning sometime around end of January. The manager hopes to not have to recruit twice. We are seeking a Contingent Content Licensing Associate to support Client’s Content Licensing team on a temporary basis. This individual will assist in maintaining relationships with content providers, coordinating licensing workflows, and ensuring the accuracy of content-related data across Client’s Consumer and Professional Information products. This role will involve vendor coordination, contract administration, financial tracking, and cross-functional collaboration with operations, procurement, and finance teams. The ideal candidate will have experience working with external partners, attention to detail, and the ability to manage multiple tasks in a fast-paced environment

The ideal candidate is digital-focused but print-familiar and able to seamlessly shift between design, art direction, and data visualization for complex financial and business stories. This Art Director will be part of a three-person design team and will report to the Head of Visuals. This full-time hybrid role is based in NYC, in office 3 days per week. No possibility for an extension on this particular assignment, but the manager sees it as a great way to get your foot in the door at Organization and their many publications

Location : Parlin, NJ 08859. Provide technical support and troubleshooting for desktops, laptops, and network systems, ensuring smooth operation and user satisfaction. Handle application and OS installations, basic network issues, and printer configurations while maintaining clear communication and thorough documentation. Utilize experience with IT infrastructure, ticketing systems, and industry-standard certifications to support efficient IT service delivery.

Location : Princeton, NJ (hybrid, 2 days on-site for meetings) The successful candidate will develop AI agents and apply machine learning to enable delivery of robust results from proteomics experiments performed by the proteomics team at Client. The successful candidate will develop a process, working with team members, to programmatically run R-scripts and python programs and develop AI agents and ML tools to expedite decision making and reduce processing time to turn processed data into reported results in a more efficient manner than currently done by team analysts.