Software Developer

Job Summary
Job Summary The Scientific Computing and Imaging ( SCI ) Institute at the University of Utah invites applications for one full-time (1.0 FTE ) research software engineer to design develop optimize and deploy deep learning solutions for large-scale medical images to automate various medical imaging tasks to support scientific and application-driven research. The SCI Institute looks for highly talented motivated disciplined research software engineers with professional experience and interest in state-of-the-art image analysis and machine learning technologies. We are seeking committed researchers who have demonstrated ability to work effectively and independently with minimal supervision within a multi-disciplinary research environment. This position is a perfect fit for individuals with a background in research. Still they love to write code thrive in an environment of cutting-edge science in academia and apply their programming expertise to compelling research problems. Why Join Us This role offers an exciting opportunity to work at the intersection of deep learning and medical science developing tools that directly impact patient care and clinical workflows. Our team provides a supportive collaborative environment where innovation is encouraged and your contributions will have a tangible impact on advancing healthcare technology. The successful candidate will enjoy being part of a world-renowned research institute and working closely with graduate students post-doctoral researchers software developers/engineers research scientists and faculty members to develop cutting-edge tools. The SCI Institute The Scientific Computing and Imaging ( SCI ) Institute at the University of Utah is an internationally recognized leader in visualization scientific computing and image analysis applied to a broad range of domains. The SCI Institute brings together faculty in bioengineering computer science mathematics and electrical engineering in applying advanced computing technologies to challenges in a variety of domains including biology and medicine. The SCI Institute includes 19 faculty members and over 200 other scientists administrative support staff and graduate and undergraduate students. The overarching goals of the SCI Institutes scientific computing research are to create new techniques tools and systems by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state-of-the-art and create meaningful computational solutions for such complex systems one needs to advance research in a number of areas within scientific computing including image analysis visualization simulation and modeling. The SCI Institute presents a highly challenging collaborative work environment that can be deeply rewarding for the right individual. At the SCI Institute we offer flexible working hours the potential for career development and personal growth diversity of work and interaction with students. We also foster and support the sense of community among principal investigators software engineers and researchers in a collaborative environment. Furthermore the University of Utah offers a competitive benefits package. Further information is available at Opportunities for Professional Development The successful candidate will have the opportunity to develop their research publication and presentation skills under mentorship from established faculty investigators. In addition successful candidate will benefit from mentoring activities at the SCI Institute and Kahlert School of Computing (KSoC) to prepare them for the next phase of their careers. Through the Cyberinfrastructure Professionals ( CIP ) Cooperative (Co-Op) at the SCI Institute successful candidate will access a community of research computing and data experts working together to support and sustain SCIs world-class research efforts. Successful candidate will also have the opportunity to join the Future Faculty Fellow Program offered by the KSoC. This program trains postdoctoral candidates in elements needed for an academic career as researcher teacher mentor and computing citizen. Professional development opportunities including training in teaching are also available on campus through the Office of Postdoctoral Affairs (). Work Environment - You will be contributing to cutting-edge computational methods for image analysis. - We offer flexible working hours. - We offer professional career development opportunities. - The University of Utah offers a very competitive benefits package. Benefits - Health dental and wellness coverage Free public transportation pass ( (Utah Transit Authority) Paid leave time ( - Tuition reduction for employee and family members ( and more: Location The SCI Institute is a world-class research institute located within the Warnock Engineering Building on the University of Utah campus located in Salt Lake City Utah the hub of many emerging tech start-ups. Surrounded by stunning mountain views and fantastic hiking and camping destinations just 20 minutes outside the city Salt Lake is an excellent place for networking in tech and outdoor activities.

Responsibilities
Research and development: Conduct research to design implement and refine deep learning algorithms particularly focusing on analysis tasks relevant to medical imaging including semantic segmentation and classification. Data handling: Work with large-scale medical imaging datasets developing pre-processing and data curation pipelines managing data storage and ensuring data quality. Scalability: Develop scalable deep learning solutions capable of handling large-scale gigantic imaging data during training as well as providing scalable and real-time inference. Explainability and interoperability: Design and implement methods to make deep learning models more interpretable and explainable to clinicians and other stakeholders. Benchmarking and evaluation: Set up robust benchmarking tests for comparing models analyzing metrics such as accuracy computational efficiency memory footprint and scalability. Collaboration: Work closely with a multidisciplinary team of engineers clinicians and domain experts to ensure models are tailored to medical needs balancing precision and operational efficiency. Reporting: Document and present research findings to stakeholders preparing comprehensive reports papers and presentations to showcase project progress and achievements. This job description is not designed to contain or be interpreted as a comprehensive inventory of all duties responsibilities and qualifications required of employees assigned to the job. Work Environment and Level of Frequency typically required Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting hearing listening talking. Often: Repetitive hand motion (such as typing) walking. Seldom: Bending reaching overhead.

Minimum Qualifications
Requires a bachelors degree in a related area or equivalency (one year of education can be substituted for two years of related work experience) and 3-5 years of experience in the field or in a related area. Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.