Bioinformatics Programmer

University of California San Francisco • San Francisco, CA

4d • $34 - $74

About The Position

Under direct supervision, Bioinformatics Programmer applies machine learning and artificial intelligence (AI) concepts for the analysis of large scale genomics, single cell, and other biological data. Will be responsible for the development and implementation of AI agents and pipelines as innovation tools for biological discovery. Follow standard programming procedures for documentation and data analysis. 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 salary range for this position is $34.48 - $74.04 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https://ucnet.universityofcalifornia.edu/compensation-and-benefits/index.html The Anatomy Department is a basic science department within the School of Medicine that performs scientific research, training and teaching. The Department includes 15 faculty members with primary full-time appointments, 15 faculty with joint appointments, and about 150 postdoctoral fellows and students engaged in research that covers questions in cell biology, developmental biology and the neurosciences. Faculty have laboratories at both the Parnassus Heights campus, where there is a focus of interest in cancer biology, and at the Mission Bay campus, where many of the neurobiology faculty are located. The administrative office of the Department is located at the Parnassus Heights campus. Anatomy faculty and staff are committed to building a diverse community that is welcoming and supportive, one that will nurture education and research. About UCSF The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and excellence in patient care. It is the only campus in the 10-campus UC system dedicated exclusively to the health sciences. We bring together the world’s leading experts in nearly every area of health. We are home to five Nobel laureates who have advanced the understanding of cancer, neurodegenerative diseases, aging and stem cells. Pride Values UCSF is a diverse community made of people with many skills and talents. We seek candidates whose work experience or community service has prepared them to contribute to our commitment to professionalism, respect, integrity, diversity and excellence – also known as our PRIDE values. In addition to our PRIDE values, UCSF is committed to equity – both in how we deliver care as well as our workforce. We are committed to building a broadly diverse community, nurturing a culture that is welcoming and supportive, and engaging diverse ideas for the provision of culturally competent education, discovery, and patient care. Additional information about UCSF is available at diversity.ucsf.edu Join us to find a rewarding career contributing to improving healthcare worldwide. Equal Employment Opportunity The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

Requirements

• Bachelor's degree in biological sciences, computational biology, bioinformatics, engineering or related area and / or equivalent experience / training
• Basic knowledge in programming languagues like Python and common ML frameworks (PyTorch, TensorFlow, Huggingface etc.).
• Basic knowledge in applying AI/ML approaches to biological data such as sequences, single cell or bulk genomics, multi-omics, spatial and imaging or other biological datasets.
• Basic knowledge experience in state-of-the-art Generative AI application development, LLM model tuning, agentic AI, and model context protocol (MCP).
• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization.
• Ability to communicate technical information in a clear and concise manner.
• Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills.
• Basic knowledge of bioinformatics methods for genomic data processing and analysis.
• Basic knowledge of modern biology and applicable field of research.

Responsibilities

• Will be responsible for the development and implementation of AI agents and pipelines as innovation tools for biological discovery.
• Follow standard programming procedures for documentation and data analysis.

What This Job Offers

• Career Level: Entry Level