> Markdown version of [/jobs/ext/1769815-commercialization-data-analyst](https://www.wearedevelopers.com/jobs/ext/1769815-commercialization-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Commercialization Data Analyst - **Company:** Cornell University - **Location:** Ithaca, NY, United States (Remote available) - **Experience:** Starter - **Salary:** $66,004.0 - $76,707.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Big Data, Python (Programming Language), Program Design Languages, Software Tools, Software Engineering, Multithreading, Large Language Models, Information Technology, Data Analytics, Programming Languages - **Published:** July 8, 2026 - **Apply:** https://cornell.wd1.myworkdayjobs.com/CornellCareerPage/job/Ithaca-Main-Campus/Commercialization-Data-Analyst_WDR-00059640-2 ## About the Role Cornell Research & Innovation seeks candidates for a new entry-level data science position working with large datasets to analyze and connect new scientific discoveries with potential commercialization opportunities. Prospective candidates will possess experience working with terabyte-size datasets and be adept working with applicable software and LLM-based tools. The position will report to and work closely with the Vice Provost for Entrepreneurship, Innovation, and External Engagement., * Bachelor's degree in a relevant field, such as computer science or data analytics; an equivalent combination of relevant experience and education also may be considered * Keen understanding of software development * Demonstrated facility with software tools for merging and reporting on terabyte-size datasets, including programming languages like Python and LLM-based tools like Claude Code, Grok Build, and Codex * Experience with multithreaded program design * Experience modeling values that support inclusion, belonging, and wellbeing Additionally, although not required, the following would represent pluses: * Interest in science and innovation * Familiarity with datasets relating to innovation and academia, such as patents and academic publications ## Description * Developing, documenting, and maintaining datasets related to the production and commercialization of scientific discoveries * Conducting analyses to support entrepreneurship, innovation, and engagement initiatives with corporations and alumni * Assisting other campus entities in the adoption and use of large datasets for their own needs * Supporting efforts by Cornell IT and the Cornell AI Initiative to incorporate dataset products into dashboards, websites, and other resources for faculty and staff use * Staying abreast of and recommending improvements to data sources, including LinkedIn, PitchBook, and OpenAlex As part of the Cornell community, you will help foster a culture of belonging and a healthy work environment by communicating across differences; being cooperative, collaborative, open, and welcoming; showing respect, compassion, and empathy; engaging and supporting others regardless of background or perspective; speaking up when others are being excluded or treated inappropriately; and supporting work/life integration of oneself and others. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [ Secure Code Superstars: Empowering Developers and Surpassing Security Challenges Together](https://www.wearedevelopers.com/videos/422-secure-code-superstars-empowering-developers-and-surpassing-security-challenges-together) - [Asynchronicity and multithreading in C#](https://www.wearedevelopers.com/videos/447-asynchronicity-and-multithreading-in-c) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Old tools, new tricks](https://www.wearedevelopers.com/videos/1916-old-tools-new-tricks) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [System change: restart as developer?](https://www.wearedevelopers.com/magazine/39-system-change-restart-as-developer)