Applications Programmer

Job Description

Job Description:
Job Summary : Under direct supervision, applies professional programming concepts and established UCSF policies to assigned tasks within the Shan Lab. Works on well-defined projects of limited scope, with a focus on developing software that applies AI to medicine in areas such as disease classification, clinical decision support, early disease detection, and telemedicine to expand health access. Implements standard coding practices and troubleshoots routine technical issues. Follows established procedures to support system integration, data workflows, and software functionality for clinical and research applications, with guidance provided for more complex problems. The Application Programmer will contribute to the Shan Lab’s research and clinical initiatives by developing desktop, web, and mobile applications that apply modern software engineering and machine learning to advance the usability of medical AI tools. Working under direct supervision, the programmer will take on small projects or components of larger initiatives, focusing on building secure, compliant, and scalable software to manage sensitive medical data. Responsibilities include designing, developing, testing, and maintaining applications that integrate with a variety of research tools, clinical systems, and lab-built platforms. The final salary and offer components are subject to additional approvals based on UC policy. Your placement within the salary range is dependent on a number of factors including your work experience and internal equity within this position classification at UCSF. For positions that are represented by a labor union, placement within the salary range will be guided by the rules in the collective bargaining agreement. The hourly rate for this position is $22.00 - $31.00. To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html Department Description: The UCSF Department of Ophthalmology is one of the leading ophthalmology departments in clinical care, training, and research nationwide. The department is one of the largest recipients of federal grant funds among peer departments, ranked 2nd in overall National Institutes of Health (NIH) funding in the country. UCSF’s renowned eye care services are located in a state-of-the-art home, the Wayne and Gladys Valley Center for Vision (WGVCV). Located at UCSF's Mission Bay Campus, the center houses the Vision Clinics, where many of UCSF's eye care programs relocated, as well as research and teaching facilities. Ophthalmology conducts its patient care, teaching, research, and public service activities currently at multiple UCSF campuses: Parnassus, Mt. Zion, Veteran’s Administration Medical Center (VAMC), San Francisco General Hospital (SFGH), East Bay (BOPC) and Benioff Children’s Hospital at Mission Bay and in Oakland. The Department sponsors numerous invited speakers, research seminars, journal clubs, as well as a postdoctoral training program focused on mentorship, networking, and recognition. The UCSF Department of Ophthalmology consists of approximately 300 full time employees including clinical faculty, basic scientists, clinical and research trainees, and administrative staff (including UCSF Health employees).

Qualifications:
Required Qualifications: - Bachelor's degree in related area and minimum one year of experience or equivalent experience/training. - Proficient in 1 each of database (e.g. SQL or R) and programming languages (e.g. Python, C++, JavaScript) - Experience with deep learning models - Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts. - Demonstrated effective communication and interpersonal skills. - Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization. - Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines. Preferred Qualifications: - Experience with database management, query, mining and reporting software - Proficient in statistical (e.g., SAS or STAT) languages - Experience contributing to scientific writing and presentations