Commercialization Data Analyst
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.
Responsibilities
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
Requirements
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
Qualifications
Interest in science and innovation
Familiarity with datasets relating to innovation and academia, such as patents and academic publications
Skills
Not specified
Benefits
Not specified
Pay
$66,004.00 - $76,707.00
Schedule
Onsite