Program Operations Analyst

Biological Sciences Division at the University of Chicago; Chicago (IL); Sur place; USD 65 000 - 90 000; Plein temps

Résumé du poste

The University of Chicago's Center for Translational Data Science (CTDS) invites applications for a Program Operations Analyst. Reporting to the co-Principal Investigator, you will help plan roadmaps, coordinate multi-team efforts, and communicate progress to partners, while gaining exposure to software lifecycle, cancer genomics, and data infrastructure.

You will work with business operations and finance to prepare proposals, foster collaboration, and ensure timely releases and reporting across

Qualifications

• Bachelor's degree in a related field.
• 2–5 years of experience in a related discipline.
• Experience with software development teams and release processes.
• Experience coordinating projects, events, or programs.
• Experience communicating with customers, users, or partners.
• Exposure to biology, genetics, or cancer biology.

Responsabilités

• Support team planning for roadmaps and priorities, identifying dependencies and risks.
• Coordinate meetings and collaborations, track decisions and actions.
• Participate in data and software release processes and communicate status.
• Assist with project documentation and reporting on activities and risks.
• Help prepare proposals and program materials with cross-functional teams.
• Serve as a point of contact for external inquiries and updates.
• Gain familiarity with the software development lifecycle and cancer genomics.
• Coordinate events, logistics, and post-event write ups.
• Assist with researching funding opportunities and drafting materials.
• Support other administrative projects as needed.

Connaissances

Software development

Customer interaction

Project coordination

Process improvement

Cross-disciplinary experience

Biology basics

Formation

Bachelor's degree

Description du poste

About The Department

The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https://stats.gen3.org/, and https://ctds.uchicago.edu/.

Department

BSD CTD - GDC Project Management

Job Summary

The Program Operations Analyst supports the development and operation of innovative biomedical data and software platforms that researchers rely on to advance cancer genomics. Reporting to the co-Principal Investigator and working in close partnership with the technical leads, the role contributes to planning, delivery, and communication across scientific, engineering, and operational teams, and serves as a point of contact for external partners.

Day to day, this position involves helping shape project and roadmap plans, identifying dependencies and risks, and keeping data and software releases on track. It also includes bringing the right people together and turning information into clear reports and proposals, in coordination with the Center's business operations and finance teams where needed. The Program Operations Analyst collaborates with the team to think through open questions and help develop practical solutions. Along the way, the Program Operations Analyst will gain familiarity with the software development lifecycle, data center infrastructure management, cancer genomics, and how shared data accelerates research.

The role is well suited to someone who is curious, organized, and analytical, and who enjoys solving problems, takes initiative, and is interested in how research and technology come together.

This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.

Responsibilities

• Support team planning for roadmaps and priorities, helping anticipate the dependencies and risks that shape the work ahead.
• Coordinate project meetings and collaborations, including scheduling meetings upon request, proactively identifying when discussions or cross-team coordination are needed to move work forward, and tracking decisions and action items through follow-up and completion.
• Participate in data and software release processes, including release planning, tracking progress, helping resolve blockers, assessing schedule impacts, and communicating status, risks, and potential delays in a timely manner to teams and partners.
• Assist with project documentation and reporting on activities, risks, and deliverables, including hardware asset tracking.
• Help prepare proposals and other program materials, working with technical teams as well as business operations and finance.
• Serve as a point of contact for external inquiries, triaging requests, finding answers, and drafting clear, thoughtful updates.
• Gain hands-on experience with the software development lifecycle and a broad familiarity with cancer genomics and how shared data accelerates research, with opportunities to contribute to increasingly complex and meaningful work as skills develop.
• Coordinates events, researches logistics, assists with planning and preparing presentations, event outreach, and post-event write ups.
• Assists with researching funding opportunities, preparing grant proposals, and drafting and/or editing other written materials with moderate guidance.
• Assists with other administrative projects as needed and acquire higher level guidance and skills.
• Performs other related work as needed.

Minimum Qualifications

Minimum requirements include a college or university degree in related field.

Work Experience

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Experience

• Experience working in or alongside software development teams, in roles such as developer, product, QA, technical support, or data, and familiarity with how software is built and released.
• Experience working with customers, users, or partners, such as in customer service, technical support, or customer success roles, understanding their needs and finding solutions.
• Experience coordinating projects, events, or programs, including planning timelines, working through obstacles, and supporting decision-making.
• Experience improving how teams stay organized and synthesizing information into clear, actionable reports.
• Experience with complex fields or systems, such as science, healthcare, technology, finance, or engineering, and figuring out unfamiliar concepts and processes.
• Exposure to biology, genetics, cancer biology, or a related science, through coursework or professional experience.

Preferred Competencies

• Shows curiosity and a desire to learn, quickly grasping new concepts in cancer genomics, research, and technology, adopting new software and tools with ease, asking insightful questions, and seeking knowledge beyond the tasks at hand.
• Applies analytical and problem-solving skills with a bias toward action, helping to bring structure to ambiguous situations, identifying gaps or risks, and working with the team to develop practical solutions.
• Develops an understanding of how the program's parts connect, including contracts, timelines, teams, and deliverables, and contributes ideas to improve processes that support the team's work.
• Stays highly organized and detail-oriented, tracking moving pieces, adapting to changing priorities, following up on outstanding items, closing the loop on tasks, and catching errors before they become problems.
• Helps