Principal Software Engineer

Department

BSD CTD - Engineering - Plan X

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/.

Job Summary

The job leads and provides expertise to the development of programs for activities relating to software support and/or development. Analyzes, designs, develops, debugs, and modifies computer code for end user applications, beta general releases, and production support. Manages development and implementation of applications, web pages, and user-interfaces using a variety of software applications, techniques, and tools. Solves complex problems in administration, maintenance, integration, and troubleshooting of code and application ecosystem currently in production.

The Principal Software Engineer is responsible for a scope of significant size or functional area critical to the team’s success, using in-depth knowledge in all technical areas of major projects and core product and responsible for design and implementation of top priority technical tasks, timely and quality delivery, leading and mentoring other engineers, and helping the organization drive toward its strategic goals, negotiating complex solutions along the way. All Software Engineers perform web application development activities of open-source software platforms, including analyzing business and technical requirements, designing/developing/testing software, reviewing and testing code, supporting and maintaining applications, and providing appropriate written documentation of project development and programming code. All engineers are expected to be flexible for full-stack development and some may have a specialty in back-end or front-end technologies.

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

• Responsible for design and implementation of top priority technical tasks and timely delivery of such tasks, meeting and defining the required level of quality.

• Participation in complex and challenging activities, including design and implementation.

• Responsible for managing activities of a complex and challenging nature, including design and implementation of large systems and/or core components.

• Provide technical leadership and effectively mentor staff.

• Actively participate in and define the hiring process and provide fair and productive interview feedback.

• Negotiate complex decisions, present options, and persuasively advocate for optimal technical solutions, internally and externally.

• Leads in the development of new systems, features, and tools. Solves complex problems and identifies opportunities for technical improvement and performance optimization. Reviews and tests code to ensure appropriate standards are met.

• Utilizes in-depth technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.

• Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.

• Leads or coordinates teams or projects for activities relating to software support and/or development.

• Performs other related work as needed.

Minimum Qualifications

Education:

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

Work Experience:

Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline.

Certifications:

---

Preferred Qualifications

Education:

• Advanced degree in computer science, mathematics, statistics, engineering, or a relevant quantitative field strongly preferred.