Associate Director, Cheminformatics Machine Learning & Artificial Intelligence. The Cheminformatics team within Bristol Myers Squibb is seeking an exceptional scientific leader interested in artificial intelligence and machine learning for molecular design.

Lead a highly motivated hybrid-remote team tackling diverse AI projects ranging from traditional machine learning to cutting-edge imagery and LLM. Take ownership over your work, embrace continuous learning, and above all, find joy in what you do.

Algorithm Development: Implement and scale innovative physics-based methods and machine learning algorithms to optimize the drug discovery pipeline. This leader will drive the development and application of advanced physics-based algorithms and machine learning techniques to overcome critical bottlenecks in drug design.

Algorithm Development : Research, design, and develop novel algorithms for various modalities, including microscopy and spectroscopy, using machine learning techniques such as neural networks, reinforcement learning, and clustering.

We seek a talented Associate Director, Machine Learning to report to the Executive Director, Machine Learning and collaborate on development of statistical models leveraging multi-modal data (genetics, omics, EHR/text) to drive new insights and therapeutic hypotheses.

Experience with machine learning techniques and experience with predictive modeling are preferable. Craft knowledge in customer experience analytics with known methodologies and industry tools (i.e. Gainsight, Qualtrics, Medallia, etc) in CX such as customer sentiment, Voice of the Customer (VOC), survey infrastructure, measuring customer retention, trends in customer behavior which will help the business drive actionable insights, enhance customer service strategies, and drive improvements in business performance such as quality, revenue and expense.

Proven experience in AI, machine learning, or deep learning, and video streaming AI applications. Proven experience in AI, machine learning, or deep learning, and video streaming AI applications.

The Netradyne Driveri® Vision-Based Driver Recognition Safety Program significantly advances the technology category through the application of Artificial Intelligence, Machine Learning, and Edge Computing.

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

Bachelors degree in Engineering, Information Systems, Computer Science, Humanities, or related field. Serve as a bridge between customers and engineering, understanding the deep dive Qualcomm AIoT software stack and directing efforts to address customer-specific use cases.

Oversee the development and implementation of machine learning models to improve golfer experience, content optimization, and skill-based wagering. As the Director of Data Science, you will be responsible for overseeing the data science team, developing strategic plans for data analytics, and driving the implementation of advanced analytics solutions.

MD with clinical experience (e.g., residency), Ph. D. or Masters degree in Medicine, Biotechnology, Statistics, Machine Learning & Artificial Intelligence, Physics, Mathematics, Computational Chemistry, Computational Biology, Biology or a related field.

In partnership with AI and data leaders and other functional stakeholders across the organization, this role will be responsible for driving our organization's comprehensive data and AI strategy, including data science, machine learning, data architecture, data governance, data engineering, and business intelligence to deliver actionable insights and business value.

An innovative biotech company focused on addressing complex challenges in drug discovery is seeking an accomplished Director of Computational Drug Discovery. Parallel Programming & HPC: Experience in parallel computing with MPI, OpenMP, OpenACC, CUDA C/C.

Experience with AI and machine learning, with record of practical application of these technologies. The Director of People Data and Analytics will lead the transformation of our HR data and analytics function, ensuring that we have the tools, capabilities and insights needed to make data-driven decisions about our people.