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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, Computational Policy Lab - **Company:** Harvard Medical School - **Location:** Cambridge, MA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Cloud Computing, Python (Programming Language), Machine Learning, Natural Language Processing, Svelte, Software Deployment, Software Engineering, TypeScript, ReactJS, Information Technology, GPT - **Published:** September 4, 2026 - **Apply:** https://universityjobs.com/job/job/apply?id=7343914 ## About the Role o Confirmation that you are legally authorized to work in the United States without sponsorship for at least two years, * Minimum of five years' post-secondary education or relevant work experience, * Bachelor's degree and/or relevant work experience in computer science, data science, or a closely related field, with a strong emphasis on advanced software engineering, machine learning, artificial intelligence, and empirical research methodologies * Experience working with generative AI pipelines. * Experience deploying software in a cloud environment. * Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor. * Full stack development experience with Python / TypeScript and familiarity with Svelte / React preferred. ## Description * Independently perform complex applications/web development for projects of large to very large size and complexity * Design and develop complex software systems for large-scale research projects, with a focus on education technology, the delivery of public benefits, and generative AI-based tools. * Leverage recent breakthroughs in machine learning and natural language processing to build, test, and deploy advanced algorithmic tools that underpin rigorous empirical research in real-world environments. * Lead and collaborate on technically challenging projects involving AI, machine learning, natural language processing, and large-scale experimentation. * Contribute to the design and execution of randomized controlled trials and other empirical methods used to evaluate the impact of AI-driven interventions. * Collaborate closely with other researchers to translate theoretical models and experimental designs into high-performance, production-ready systems. * Co-author or contribute to academic publications and technical reports intended for peer-reviewed journals, conference proceedings, and lay audiences. * Stay abreast of emerging technologies and research developments related to AI, computational social science, and causal inference. * Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct. Projects you will work on include, but are not limited to: AI in Education: We are designing and testing AI-powered technologies that go beyond generic tools like ChatGPT to provide tailored support for student learning. Our flagship tool, PingPong, is currently being evaluated through a large-scale randomized experiment across universities and community colleges nationwide. In addition, we are piloting innovations such as virtual lectures, personalized student diagnostics, and teacher co-pilot tools. This role will help design, implement, and scale these technologies so they can be rigorously tested and used in real classroom settings. AI in Public Policy: We are engineering AI systems that improve public service delivery and decision-making. Examples include tools that assist county prosecutors in making unbiased charging decisions, help public defender clients to avoid jail time due to missed court dates, and support adjudicators as they process unemployment insurance claims. In this role, you will work on building robust, production-quality systems that can be deployed in high-stakes government environments where reliability, fairness, and performance are critical. ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Svelte ♥ TypeScript and so will you](https://www.wearedevelopers.com/videos/493-svelte-typescript-and-so-will-you) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [On tour with heroes == Moving from Angular to WebComponents](https://www.wearedevelopers.com/videos/63-on-tour-with-heroes-moving-from-angular-to-webcomponents) - [AI in the Open and in Browsers - Tarek Ziadé](https://www.wearedevelopers.com/videos/1787-ai-in-the-open-and-in-browsers-tarek-ziade) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)