Job Search Results for data scientist

One of our large Pharmaceutical clients is actively hiring for a Digital Automation Engineer to join their project team for a 12 month engagement. The goal of this project is bringing in a new... More integrated automation platform, and taking manual processes to automated. They will be integrating the experimental data they are generating on those platforms into the client system, tying to LIMS, and then publishing to corporate data bases.This role is pivotal in driving the digital transformation of our research processes through automation and advanced technology integration. The successful candidate will collaborate with engineers, scientists, and IT colleagues to deliver cutting-edge digital automation solutions to enhance productivity, efficiency, and high-quality data generation within our research teams. The Principal Scientist, Digital Automation will work with stakeholders to identify and prioritize opportunities to implement new digital approaches to enable automated data generation, analysis, and archival. The role will be responsible for the collaborative configuration of data pipelines, integration with IT systems, and deployment of necessary tools within the clients data ecosystem to facilitate connectivity to enterprise systems. These tools will deliver substantial improvements in data availability and speed to inform decision-making during the drug discovery process. In addition, the Digital Automation team will pioneer utilization of digital tools (including but not limited to Digital Twins and Data Orchestration Software) to enhance accessibility and user experience for scientists across RTech. Duties:- Develop and implement digital automation solutions within Research Technologies, aligning with the clients broader digital transformation goals.- Coordinate the planning, design, development, and deployment of digital automated solutions that improve research workflows, data management, and experimental processes. - Monitor and evaluate the performance of digital automation solutions, continuously seeking opportunities for improvement and innovation to deliver robust, annotated data to AIML and Predictive Science colleagues for analysis. -Provide training and support to research teams on the use of new digital tools and automation systems.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Less

Client is seeking a contract AI/ML Engineer to support the development and deployment of scalable, end-to-end AI solutions across the enterprise. As an AI Engineer on the Data Science team, you will... More play a key role in productionizing machine learning models, building robust pipelines, and enhancing the overall AI platform. This role requires hands-on experience with Azure, Docker, and Azure Kubernetes Service (AKS), as well as strong knowledge of cloud-native MLOps best practices.**Responsibilities** Design and implement scalable, cloud-native ML pipelines for production AI solutions. Collaborate with data scientists to operationalize ML models from prototypes to production. Manage deployment of ML models using Azure Machine Learning and AKS. Develop, containerize, and orchestrate services using Docker and Kubernetes. Optimize cloud data and compute architectures to ensure cost-effective and reliable deployments. Implement robust monitoring, logging, and CI/CD practices to support AI operations (MLOps). Work closely with enterprise cloud architects to align AI solutions with clients infrastructure standards. Contribute to the evolution of the best practices around AI/ML systems in production environments.We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form. The EEOC "Know Your Rights" Poster is available here. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .Less