8 jobs found

Stanford Medicine Catalyst was created to cultivate and advance the unmatched innovation that occurs at Stanford. We select the inventions and ideas that have the highest potential to have a transformative effect on health and biomedicine at global scale and support them to evolve and prepare for commercialization through pilot projects, prototyping, deployment in active health systems, business planning, market analysis, connections with the investment community and the development of future executive leadership teams. The program leverages the full range of resources and capabilities of Stanford, including all aspects of the University and Stanford’s health systems (Stanford Health Care and Stanford Children’s Health). Catalyst was formed as part of the Stanford Medicine Integrated Strategic Plan and is supported by the Dean of the School of Medicine and the two CEOs of the health systems.  At Stanford Medicine we are inventing the future and improving patient...

Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of healthcare data for machine learning applications in the department of biomedical data science.  Duties include: Collect, manage and clean datasets. Employ existing tools to interpret, analyze, and visualize multivariate relationships in data. Develop machine learning models Create databases and reports, and perform basic statistical analyses appropriate to data and reporting requirements. Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. Analyze data processes in documentation. Collaborate with research staff on data collection and analysis methods. Contribute to...

What you'll do... Collaborates with stakeholders to obtain market research and data. Reviews key performance indicators and builds action plans to improve performance. Researches, evaluates, and analyzes data to identify and analyze operational and driver experience gaps. Develops and implements solutions to improve program and process metrics . Leads process improvement projects and utilizes data to provide insights. Understands and participates in all end-to-end aspects of store fulfillment (for example, picking, staging, dispensing, delivering customer/member orders through all channels). Drives the execution of multiple business plans and projects by identifying customer, delivery service provider, and operational needs. Develops and communicates business plans and priorities. Removes barriers and obstacles that impact performance or associate, customer, and driver experiences. Provides resources, identifies performance standards, measures progress, and adjusts...

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun. Apply today and take the first step to Destination: Progress.   As a  data engineering lead  within the Personal Lines Media Data Operations team, you’ll play a pivotal role in empowering data scientists, analysts, and business stakeholders with cutting-edge tools, technologies, infrastructure, and data solutions. This team is responsible for enabling data-driven decision-making by optimizing advertising campaigns, deploying predictive analytics, and maintaining robust data systems. In this role, you’ll design and implement real-time APIs, scalable data pipelines, and cloud-based infrastructure to support machine learning model deployment and advanced analytics, while also growing your expertise in cloud infrastructure, generative AI, machine learning, and data engineering. As a lead, you’ll take ownership of projects...

In this role, you will translate the needs of our cross-functional stakeholders into user-facing applications and lead the development of AI-driven applications, including conversational interfaces, chatbots, text summarizers, and recommendation engines, tailored to the needs of our community. Partnering with Product Managers, Machine Learning Engineers, Data Scientists, and Cloud Platform Engineers, you will build production-ready AI solutions that drive personalized engagement, expand educational reach, and support new learning models. Your contributions will reinforce HBS’s leadership in education and business by shaping the future of AI-driven learning experiences. Responsibilities Include: Design and develop the architecture and infrastructure for GenAI products, including search interfaces, chatbots, and text summarizers, ensuring optimized performance that meets specific product goals. Collaborate closely with product management and engineering leads to...

Harvard Business School will not offer visa sponsorship for this opportunity. We are seeking a talented Generative AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users. As a Senior Data Scientist specializing in Generative AI applications, you will play a pivotal role in developing innovative generative AI products that support the Harvard Business School (HBS) Foundry team and learners on our platform. This key technical role requires hands-on expertise across data science, machine learning, and AI solutions. You will manage the lifecycle of artificial intelligence algorithms and tools across a variety of domains. The Foundry Team will support with domain knowledge. AI Tool Development and Implementation Design and implement efficient data pipelines for data collection, cleaning, labeling, and...

Your role in helping us shape the future: U.S. News empowers everyone to thrive. As a data analyst on our Money team, you will collaborate closely with a cross-functional team to guide the development of products and services from conception to launch, and engage closely with our partnerships and editorial teams to help maximize success on both fronts. The primary responsibilities of the Data Analyst are Providing tactical support to product managers through the entire development lifecycle, including assisting with technical specifications and QA. Analyzing key metrics to understand product performance, including running A/B tests, predictive modeling, and dashboard development Generate revenue yield analysis and recommendations on partner campaigns/budgets (including both paid media and on page placements across the US News experience) Access and manipulate large external datasets to enable our editorial experts to publish unique data...