Role Description We are seeking an exceptional graduate to join Stalis as a generalist across our technical and operational functions. You will work closely with teams across the business, developing a deep understanding of how healthcare data moves through our systems and identifying opportunities to apply programming, modern tooling, and AI to improve how we work. Over time, as Stalis’s data intelligence capability matures, you will have the opportunity to contribute directly to machine learning and analytics work that shapes our next generation of products. This is a broad role, and not every task will be glamorous. Much of the early value comes from genuinely understanding how work is done at Stalis today - which means doing the work, not just observing it. Some of your time will be spent on detailed, careful data tasks that are essential to our clients. The opportunity is to use that understanding as the foundation for automation, improvement, and new capability. The best ideas will come from the ground up, and we expect you to find them. What you’ll actually do: - Work alongside our data migration and engineering teams on live client projects, contributing to the day-to-day delivery of healthcare data work. - Identify inefficiencies, repetitive tasks, and fragile processes - and build the scripts, tools, and small systems that fix them. - Write and maintain code, primarily in Python & SQL, to automate workflows, process data, and support internal operations. - Apply and experiment with AI tooling - LLMs, embeddings, classifiers - to problems across the business where they add real value, and be honest about where they don’t. - Communicate your work clearly, in writing and in person, to colleagues who are not data scientists - so that your improvements get adopted rather than sidelined. - Over time, contribute to Stalis’s emerging data science and machine learning capability, including schema mapping, clinical data analytics, and data products. Qualifications - Academic background: A strong degree from a top university in a quantitative or technical discipline - physics, engineering, computer science, mathematics, or similar. - Genuine technical aptitude: Comfortable writing code, and keen to write more of it. You should already be writing code for fun, coursework, or projects, and be able to pick up new tools quickly. - AI-savvy: Fluent with modern AI tools as a day-to-day part of how you work and think. - Self-directed: You find problems, scope them yourself, and take them to a useful end state without being spoon-fed tasks. - Discerning and pragmatic: You can tell the difference between a problem worth solving properly and one worth a fifty-line script today. - Strong communicator, in writing especially: You can write a short memo or a handover document that brings people along. - Emotionally intelligent: You can read a room, win people over, and work collaboratively with colleagues who know things you don’t. - Domain-humble: You are curious about how Stalis works today before you try to change it. Benefits - Unusual breadth of exposure for a graduate role - you will see how a specialist healthcare data company actually runs, from the data up. - A path into machine learning and data science work as Stalis’s data intelligence capability develops, with real problems and real data to work on. - Direct access to senior colleagues, reporting to the Head of Data Science, and genuine influence over how the company evolves. - A role that will grow as quickly as you do.

Role Description QuadMed is looking for an AI Solutions Intern to join our IT team. This is a remote position perfect for someone who is currently pursuing a bachelor’s degree in Computer Science, Information Systems, Data Science, or Business Analytics and looking to gain experience. The AI Solutions Intern will support QuadMed’s IT department in identifying, prototyping, and enabling AI-driven solutions across business operations. This role focuses on applying emerging AI technologies—including AI agents, generative AI tools, and automation platforms—to improve workflows, increase efficiency, and enhance user productivity. - Assist in designing and building AI-enabled solutions, including AI agents, copilots, and workflow automations. - Develop and test low- to moderate-complexity AI use cases such as prompt-based workflows and task automation. - Support integration of AI capabilities into existing business tools and workflows. - Research and evaluate emerging AI tools and document relevant use cases. - Collaborate with business teams to identify and improve workflows using AI. - Support pilot implementations and refine solutions based on feedback. - Provide support to business users on AI tools, including answering questions and troubleshooting basic issues. - Assist in creating documentation, training materials, and internal knowledge resources. - Promote responsible and effective use of AI in alignment with IT guidelines. - Track progress on assigned work and communicate status to supervisors. - Participate in team meetings, planning sessions, and knowledge-sharing activities. - Assist in identifying opportunities for process enhancements and leverage technology, including AI, to improve service delivery and operational efficiency. - Perform other duties as assigned. Qualifications - Pursuing a bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, or a related field. - Prior internship, coursework, or project experience in AI, data, or technology-related work preferred but not required. - Basic understanding of AI concepts, including generative AI and large language models. - Familiarity with at least one of the following: Python, JavaScript, C#, or low-code platforms (e.g., Power Platform). - Exposure to APIs, automation tools, or data handling concepts is preferred. - Ability to analyze business problems and identify opportunities for AI application. - Strong critical thinking skills, including the ability to evaluate AI-generated outputs. - Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical users. - Demonstrated interest in AI and emerging technologies. - Ability to independently learn new tools and manage multiple tasks effectively. - Proven ability to work effectively with diverse populations and a demonstrated commitment to fostering inclusion. - Well-versed in, and committed to growing proficiency in, the use of AI tools to drive efficiency and innovation across operations. Benefits - Comprehensive benefits for eligible employees including medical, prescription, dental and vision insurance. - 401(k) retirement savings. - Paid time off. - Holidays and additional benefits. Company Description Creating a better way. It’s more than just the philosophy we were founded on. It’s our purpose. For our employees, it means more time with patients. Unrushed visits to build meaningful relationships. And most importantly, an opportunity to empower our patients to achieve their full potential – at work and in life. Harry Quadracci was determined to do things differently, and to do them better. In 1991, the visionary print manufacturing CEO founded QuadMed out of the belief that there had to be a better way to provide his employees with access to affordable, high-quality health care. And what started as doing the right thing, ended up sparking a health care revolution. Now 30 years later, we partner with employers across the nation to provide value-driven health and wellness services in or near the workplace. With a focus on breaking down cost, access and quality barriers, we empower employees and their families to live healthier, happier lives. QuadMed and Quad are proud to be an equal opportunity employer. We are committed to creating a place of belonging — a space where employees do not need to sacrifice who they are to exist and grow in our workplace. QuadMed and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. QuadMed and Quad also prohibit harassment of applicants and employees based on any of these protected categories. Drug-Free Workplace.

• Process Transformation — Map broken processes, identify inefficiencies, and redesign how teams operate. Convert vague business problems into structured workflows, dashboards, and system changes. • AI & Automation Implementation — Build real AI-powered workflows for lead research, reporting, CRM updates, support automation, document processing, and internal assistants. Using tools like Claude, ChatGPT, n8n, Make, Zapier, Power Automate, UiPath, and APIs. • Systems Rollouts — Implement and improve CRM, Helpdesk, ERP, HRMS, and reporting platforms. Gather requirements, configure systems, support UAT, clean data, and drive real user adoption. • Data, Reporting & Dashboards — Analyze business data, build Advanced Excel dashboards, create KPI reports, and give leadership clean, actionable data to make faster decisions. • Portfolio Enablement — Work across multiple acquired SaaS companies to standardize processes, automate workflows, and build scalable operating models. New business, new problem, every week.

• Advise C-suite stakeholders on AI and platform strategy, directly aligning Boomi's data activation & Agentic AI capabilities to their most critical business priorities • Lead commercial strategy for strategic pursuits, conducting executive-level discovery and developing insight-driven narratives that reframe investment decisions • Construct rigorous business cases linking Boomi's platform to measurable P&L impact, including NPV, IRR, and payback period modelling • Partner with sales teams to drive new and expansion revenue, contributing to account planning and embedding AI GTM strategy across key accounts • Define and operationalise value realization frameworks in coordination with Customer Success and Professional Services to validate outcomes post-sale • Codify deal cycle learnings into scalable GTM best practices across sales, marketing, and product functions