Research Science Intern in United States

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI — s pecifically, applying machine learning to high-impact real-world domains like medicine, finance, and law. You'll collaborate closely with Snowflake researchers, scientists, and engineers on fundamental and applied problems, publishing high-quality work while helping shape how AI integrates with the world's most consequential industries. AS A POST-DOCTORAL RESEARCHER AT SNOWFLAKE, YOU WILL: Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission, with a focus on AI applied to medicine, finance, or law Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains Engage across teams — including with domain experts and applied engineering — to ground research in pra

ROLE SUMMARY The primary purpose of this job role is to function as a member of the Sample Logistics (SL) operations within Pfizer Vaccine Research and Development (VRD). The incumbent will be responsible for receiving samples from global clinical/study trials according to approved protocols and processes. The individual will participate in all aspects of tracking and documenting the chain of custody of samples. The incumbent’s role will include sample receipt, documentation, storage, tracking, aliquoting, distribution to the testing labs, and sample disposal. The colleague will work in a team setting and will share roles and responsibilities as assigned by the team leader/manager. ROLE RESPONSIBILITIES The incumbent will be required to complete all processes as detailed in Sample Management’s Standard Operating Procedures. The colleague will perform job responsibilities in compliance with GXP and all other regulatory agency requirements. The candidate will receive samples from clinical trial sites and enter samples into an electronic database management system. Performs sample storage and retrieval using manual freezers and BiOS (automated freezer storage system). Performs manual sample aliquoting and aliquoting using the Hamilton robotic instrument. <span style="color:#

As a leading biopharmaceutical company, Pfizer is dedicated to the discovery and delivery of high value therapies across a variety of disease areas. It is our mission to bring innovative medicines to patients that significantly improve their lives, and our priority is to ensure patients have access to these medicines. The Health Technology Assessment (HTA), Value & Evidence (HV&E) team is responsible for ensuring patients have affordable, timely access to medicines and vaccines by advancing innovative value and evidence solutions to inform healthcare decision-making. ROLE SUMMARY The HTA, Value & Evidence Senior Manager is responsible for development and execution of high-quality HV&E strategic efforts to support optimal access and reimbursement for treatments in Oncology. This role directly impacts the ability to achieve business objectives on a global basis by providing strategic guidance and robust evidence development relevant to achieve optimal global patient access by demonstrating the value of Oncology medicines. This position will be part of Pfizer’s dynamic HTA Value & Evidence team and will have the important role of managing health economics and outcomes research (HEOR) to generate data to support patient access to the GU Cancer Portfolio. This position will be working closely with the Oncology cross-functional teams (e.g., access, medical, clinical, commercial, etc.) and country teams to foster a culture that promotes innovation and thrives on doing better for Pfizer’s patients and society in general. This position will function in a closely aligned fashion with the Global Access Strategy and Pricing (GASP) team to ensure there is a single and coordinated view on strategy and project execution. This position will function with a ‘OnePfizer’ mindset and will work in a closely ali

ROLE SUMMARY Pfizer is seeking a Senior Manager of Integrated Insights & Strategy (IIS) to serve as a strategic advisor to brand leaders within the Vaccines business. Reporting to the IIS Therapeutic Team Lead, this role is responsible for generating actionable insights that drive commercial performance, inform business decisions, and unlock growth opportunities. As part of the Global Commercial Analytics organization, the Senior Manager will integrate market research, analytics, and commercial performance data to address critical business questions across vaccine brands and franchises. This individual will translate complex information into clear, compelling recommendations and serve as a trusted thought partner to cross-functional stakeholders. The ideal candidate brings strong expertise in analytics and market research, exceptional business acumen, intellectual curiosity, and a demonstrated ability to influence decisions through insight-driven storytelling. KEY RESPONSIBILITIES Strategic Partnership & Commercial Insights Partner with commercial stakeholders to identify, prioritize, and address key business questions. Deliver integrated insights and strategic recommendations that support brand performance and long-term growth. Conduct business assessments, patient journey analyses, and scenario planning to identify risks, opportunities, and performance drivers. Translate complex data into clear, actionable narratives for senior stakeholders. Support development of long-term brand and franchise strategies through evidence-based insights. Market Research & Insight Generation Design and execute research to inform vaccine brand and franchise decisions. Apply qualitative and quantitative methods to address priority business questions. Synthesize research, analytics, field insights, and perfor

About the Team Strategic Sourcing & Procurement helps OpenAI secure the products, services, and partnerships that support our research, build our products, and grow our business. We work with teams across the company to make sound commercial decisions and move important work forward. As OpenAI grows, we are rethinking how sourcing works: bringing expertise into decisions earlier, simplifying contracting, and using AI to give Procurement more time for judgment and strategic work. What we learn internally—and through our supplier and enterprise-buyer relationships—can also inform better products, partnerships, and industry adoption. About the Role We’re looking for a senior leader to head Sourcing Enablement & Delivery, leading sourcing operational delivery, contracting enablement, and AI transformation—and building Procurement’s contribution to OpenAI’s commercial growth. You will build the teams, systems, service model, and cross-functional partnerships that enable sourcing and contracting at scale, helping teams move quickly without losing commercial discipline or accountability. You will partner with GTM, Sales, and Partnerships to develop Procurement’s contribution to OpenAI adoption and commercial growth. Bring procurement-industry knowledge, buyer insights, and lessons from internal AI use into customer engagement, product feedback, and opportunities across the procurement ecosystem. Reporting to the Head of Strategic Sourcing, you will manage the Sourcing Delivery and Contract Management leaders and shape this new function’s priorities, team, and measures of success. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Priorities and what success looks like A focused roadmap: clear choices about what to build first, what to defer, and how progress will be measured. Stronger delivery: capable leaders and teams, faster execution, less rework, and fewer unres

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. The Global Procurement team drives Micron's growth through strategic sourcing, cost optimization, supplier partnerships, and supply chain resiliency initiatives. Leveraging data-driven insights, market intelligence, and innovative technologies, the team delivers value across Micron's global operations while fostering a collaborative culture focused on continuous improvement and professional development. As a Category Supplier Management Intern, you will support category management and strategic sourcing initiatives that drive business value across Micron's global procurement organization. You will gain hands-on experience in cost analysis, supplier management, category strategy development, sourcing activities, and AI-enabled process improvements while partnering with procurement professionals and business partners worldwide. Responsibilities Support category management and strategic sourcing activities through market research, supplier analysis, benchmarking, and category strategy development. Assist with cost analysis, should-cost modeling, and market intelligence activities to identify savings opportunities and support business decisions. Collaborate with Category Managers, suppliers, and internal partners to support procurement objectives and supplier relationship management efforts. Analyze sourcing trends, supplier performance, and procurement metrics to develop recommendations and drive continuous improvement initiatives. Support AI adoption initiatives by identifying u

Technical Accounting Analyst Description - US GAAP Technical Accounting – Financial Analyst Responsibilities: Technical Accounting role will handle the following types of responsibilities: Lead technical accounting research and preparation of position papers; document conclusions of key judgments and estimates with management and external auditors Providing support to finance teams and business partners on technical accounting matters as required, including research, analysis, and documentation of conclusions related to contracts and operational matters and leading the implementation of, and compliance with, new accounting requirements Ensuring the quarterly contingency and one-timer reporting process is executed with no exception. Performing extensive benchmarking evaluations Monitoring, assessing, documenting and communicating new GAAP, SEC and other accounting and disclosure issues Coordinating with various departments to assist in providing and vetting financial information Drafting and updating AFM accounting policies and memos These activities will involve actively participating in meetings across multiple organizations and identifying and solving problems. There will also be involvement with quarter end close activities including providing auditors documentation to support the accounting conclusions made. Skills needed: Detailed understanding of accounting rules Consults with business leaders to guide and influence strategic decision-making within a broad scope. Identifies opportunities for process improvement and policy development and engages in the design. Ability to influence multiple organizations within a broad scope, typically interacting with other managers and directors. Excellent understanding of accounti

About the Team The Product Policy team develops and implements policies that shape how OpenAI’s technology is built and used. We work with teams across the company to turn complex questions about AI’s benefits and risks into practical guidance for responsible research, product development, and deployment. About the Role As Product Policy Manager, Regulation, you will map external regulatory and legislative trends and synthesize them into concrete research, product, and policy requirements. You will connect deep expertise in regulation and public policy with a sophisticated understanding of AI and strong product judgment. Your remit will span frontier AI, youth, wellbeing, use in high-stakes domains, deceptive use, and other emerging issues. Working closely with Legal and Global Affairs, you will help Product, Engineering, Research, and Safety teams understand what external developments mean for their work, what decisions or evidence are needed, and how to act. We’re looking for someone who combines deep regulatory and public-policy expertise with an in-depth understanding of AI and a demonstrated ability to advise product and engineering teams. You should be able to move from complex external developments to clear decisions and requirements that teams can implement. This role can be based in San Francisco or remote. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Map and prioritize regulatory and legislative developments across jurisdictions and AI issue areas. Distinguish enacted requirements, proposals, guidance, and emerging expectations; assess their relevance, uncertainty, timing, and implications for our models and products. Translate external developments into actionable research questions, evaluation needs, product requirements, and policy recommendations. Identify gaps in evidence, define the intended outcome and acceptance criteria, and make tradeoffs and open questions c

About the Team The Monetization team is a new cross-functional group working across engineering, product, research, and design to build the foundational systems that will help OpenAI scale access to intelligence responsibly. Our mission is to develop user-first, privacy-preserving monetization products—including next-generation ads experiences—that strengthen user trust, unlock economic opportunity, and support OpenAI’s long-term innovation. Monetization plays a critical role in enabling OpenAI to continue pushing the boundaries of AI capabilities while ensuring the benefits of AGI are broadly shared. We believe monetization must be aligned with user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem of developers and businesses. This team operates in a greenfield environment and moves quickly through prototyping, experimentation, and iterative deployment. We partner closely with Product, Design, and Research to bring research breakthroughs into real-world systems at global scale. About the Role As a Research Engineer in OpenAI's Monetization Group, you will have the opportunity to work with some of the brightest minds in AI. You'll contribute to deploying state-of-the-art models in production environments, helping turn research breakthroughs into tangible solutions. If you're excited about making AI technology accessible and impactful, this role is your chance to make a significant mark. In this role, you will: Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact. Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives. Optimize and Scale: Implement scalable data pipelines, optimize mod

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Some of our publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec About the Role We’re hiring a Model Policy Manager to shape model behavior for U.S. government use, with a focus on national security applications. You’ll define nuanced policies and translate them into training and evaluation criteria, helping models navigate high-stakes scenarios while preserving their usefulness and capabilities. In this role, you will: Develop model policies that guide safe and useful behavior. Build evaluations, identify policy gaps and model failures, and use findings to improve policies and training. Work with research, engineering, and domain experts to support safe, reliable deployment. You might thrive in this role if you: Bring relevant experience in AI safety, policy, or risk assessment. Have strong judgment and can turn complex safety questions into clear, practical policies. Have the technical fluency to work hands-on with model data and evaluations. Are motivated by OpenAI’s mission and the responsible use of

About the Team Safety Systems manages the complete lifecycle of safety efforts for OpenAI’s frontier models, ensuring our models are deployed responsibly and have a positive impact on society. Our work spans diverse research and engineering initiatives—from system-level safeguards and model training to evaluation and red-teaming—all aimed at mitigating misuse, misalignment, and maintaining our high bar for safety. We lead OpenAI's commitment to developing and deploying safe Artificial General Intelligence (AGI), fostering a culture of trust, responsibility, and transparency. Our goal is to continuously learn from deployments, distribute AI’s benefits widely, and ensure that powerful tools remain aligned with human values and safety considerations. Within Safety Systems, the Model Policy team works to ensure that frontier models behave safely and reliably in real-world environments by designing policies that define safe model behavior. Our relevant publications include: Safety at every step OpenAI GPT6 System Card OpenAI Model Spec GPT-Live ChatGPT Images 2.5 About the Role We are hiring a Model Policy Manager to focus on the safety of multimodal models. In this role, you will shape how OpenAI identifies, evaluates, and addresses risks in multimodal AI models - such as GPT-Live and ChatGPT Images - as well as multimodal capabilities in frontier AI models. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: Design and maintain model policies for audio, image, video, and omni-modal behavior. Translate theories of harm and threat models into behavioral safety policies, evaluation criteria, grading guidance, and safeguards. Identify and analyze safety regressions and failure patterns to identify gaps in existing policies and inform policy iteration. Develop policy artifacts that support model training, evaluation, and deployment, including behavior i

Chicago Trading Company (CTC) is a premier proprietary trading firm specializing in options market making. Our collaborative culture fuels innovation in quantitative research, systematic trading strategies, and cutting-edge trading technology. For over three decades CTC has provided critical liquidity across derivatives exchanges worldwide - making them fairer, more transparent, and more efficient. We strive to be the most innovative firm in the industry today, tomorrow, and long into the future while upholding ethical excellence. We believe that CTC makes a positive impact on the markets, the lives of our employees, and all the communities to which we belong. Started in 1995 by a team of forward-thinking Traders, we are proud to call ourselves an industry leader that keeps making markets and each other better. The Role As a Quant Trading (QT) Intern, you will be challenged to learn and adapt in an exciting team environment and will play a substantial role in our day-to-day trading and quant-related activities. Your impact is immediate and meaningful. You will become a member of a team for the summer and play a vital role completing project work and/or identifying trading opportunities and communicating with software engineers, quants, traders, and risk managers throughout the trading day. As part of the Summer Associate cohort, you will learn and socialize alongside other QT Interns and Software Engineering (SE) Interns. What to Expect The 8-week internship program gives you insight into our culture and an inward look into what our business is all about. You will participate in three classroom learning experiences including: a week-long Basics of Options class, a multi-week class on the fundamentals of market making (Mock Trading), and a multi-week class that introduces elements of our quant framework (Quant Curriculum). You will also attend planned social activities and talks from various business leaders to propel your professional growth, and

Overview: The Insights product is a new offering for existing Guidepoint clients that offers teleconferences, in-person events and a call transcript library covering a wide of industries/topics that facilitate investment research. All content features experts from Guidepoint’s proprietary global network and is developed by former investment professionals (i.e. private equity/hedge fund) and sell-side equity research analysts. What You'll Do: Monitor a coverage universe of public companies within the technology sector by tracking earnings releases, investor presentations, SEC filings, sell-side research and industry news Create and moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for clients Review teleconference transcripts to ensure quality of content High performers will be considered for full-time employment What You Have: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Has covered Technology sector (Enterprise Software/SaaS, Internet (FANG etc) and/or Hardware/Semiconductors); candidates must be current on company/industry knowledge Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective time management and organizational skills Demonstrated ability to work both individually and as part of a team What We Offer: This is a full-time consultant role with the potential to convert to full time. The expected annual salary is $210,000 - $240,000. This rate may vary depending on job-related knowledge, skills, and experience, as well as geographic location. You will also be eligible for the following benefits: Friday happy hour, “Summer Fridays”, and free snacks and bevera

OVERVIEW: The Insights product is a new offering for existing Guidepoint clients that offers teleconferences, in-person events and a call transcript library covering a wide of industries/topics that facilitate investment research. All content features experts from Guidepoint’s proprietary global network and is developed by former investment professionals (i.e. private equity/hedge fund) and sell-side equity research analysts. WHAT YOU’LL DO: Monitor a coverage universe of public companies within a sector by tracking earnings releases, investor presentations, SEC filings, sell-side research and industry news. Create and moderate teleconferences on timely topics featuring an expert from Guidepoint’s network with the goal of producing actionable insights for clients. WHAT YOU HAVE: Bachelor’s degree or Master’s degree Minimum 10 years of sell-side or buy-side analyst experience Must follow bottoms-up, fundamental approach to investment research focusing on individual companies Must be current on multiple subsectors within consumer (packaged food, beverage, household & personal goods, apparel manufacturers, speciality retailers, broadlines, softlines, e-commerce, recreational products etc, gaming/lodging in terms of news flow and what issues matter to the buyside at any given time Ability to work in a fast-paced entrepreneurial environment Outgoing personality with the ability to speak with people at all professional levels Intellectual curiosity and desire to learn Effective time management and organizational skills Demonstrated ability to work both individually and as part of a team; must be willing to train and mentor junior professionals About Guidepoint Guidepoint powers end-to-end research workflows for the world’s best research teams. Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations

Overview: Guidepoint’s Client Service team connects leading investment firms, consultancies, and corporations with the subject-matter experts they need to make informed business and investment decisions. By understanding each client’s specific research needs and delivering targeted expert matches, often within hours, the team plays a critical role in providing a fast, high-quality client experience. As an Associate on the Client Service team, you will play a central role in delivering that experience. You will learn how to assess client needs, identify the types of experts best suited to address them, and recruit new experts into Guidepoint’s global network of more than 1,750,000 Advisors. The role offers exposure to a dynamic, results-oriented environment where strong judgment, responsiveness, and the ability to execute across multiple priorities are highly valued. Due to the collaborative nature of the Client Service team, the work schedule is hybrid with three days in the office required. Who We Are: High-performing team driven by execution, accountability, and consistent client impact Client-centric culture where responsiveness, resourcefulness, and attention to detail define how we operate Team committed to developing talent through hands-on mentorship, coaching, and leadership support Workplace that embeds continuous learning and career development as a core part of how we grow and excel Environment where strong performers take on increasing leadership, commercial responsibility, and client ownership Guidepoint is passionate about your career growth: Check out our Client Service Career Trajectory What You Will Own: Recruit new experts into Guidepoint’s network and engage them for client consultations Independently conduct targeted research across LinkedIn, press releases, company websites, case studies, and other public sources to identify relevant subject-matter experts Lead cold outreach, phone-based vetting, and screening conversations with experts to evalu