Biological Data Scientist

Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. The Fragiadakis (Data Science) and Combes (Disease to Biology) Labs are seeking researchers in computational biology, bioinformatics, and data science to tackle current challenges in immunology. As a member of the lab, you will learn the analysis methods, as well as the conceptual and biological background, to analyze -omics datasets such as CyTOF, single-cell sequencing, and spatial transcriptomics. Once comfortable with these methods, under direct supervision, you will perform analyses to contribute to our understanding of immune state in our patient cohorts. You will integrate molecular data with clinical information to understand how the immune system impacts disease outcomes. You will be expected to document your analyses, present your progress and results, and participate in lab meetings. We currently have several projects examining the relationship between immune state and health outcomes in a variety of UCSF patient cohorts, including infection, autoimmunity, and cancer. Our aim is to better understand how the immune system is wired and responds, to develop better disease diagnosis and treatments. As a member of our labs, you will contribute to the design of new experiments, help maintain our computational infrastructure, and track the flow of samples and information for large-scale studies. This position is jointly offered by Dr. Alexis Combes and Dr. Gabriela Fragiadakis, who both direct CoLab teams that often collaboratively pursue questions of immune state using single-cell methods, providing an environment of wet-lab and computational biologists with whom to work. While this position requires some proficiency in programming and data analysis, candidates who are fast and eager learners, who can readily adopt new bioinformatics pipelines/workflows that have been developed in the lab and the field at-large and apply them to a series of diverse projects can be successful in this role. An aptitude for collaborative work and organization is required to excel in our environment of diverse researchers. The candidate will receive training in data analysis, as well as develop expertise and intuition in biology. This position is ideal for recent graduates and can serve as a stepping-stone for a graduate program or career in bioinformatics, computational biology, or data science. Department Description CoLabs is a new model for research collaborations for the UCSF community. CoLabs centralizes research teams and creates a set of common pipelines and workflows. It recruits and retains world-class staff and trainees and develops transformative methods and technologies through engagement with the research community and institutional investments. The CoLabs initiative is comprised of five labs: Biological Imaging Development (BIDC), Data Science (DS), Disease to Biology (D2B), Flow Cytometry, and Genomics. The CoLabs help organize and integrate the UCSF community through common pipelines and data curation and pursue a set of collaborative “CoProjects” that tackle fundamental questions in biomedical research. Required Qualifications Bachelor’s degree in biological science, computational/programming (bioinformatics, computational biology, statistics, computer science, engineering), or related area and/or equivalent experience/training. Knowledge in a programming language such as R, Python, or similar programming languages. Knowledge in flow/mass cytometry and/or bulk/Single-cell RNAseq. Basic knowledge of biology. 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. Preferred Qualifications Basic knowledge of the execution and optimization of biological pipelines. Basic knowledge of databases. Basic project management skills. Basic knowledge of GitHub or equivalent. 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. 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. Join us to find a rewarding career contributing to improving healthcare worldwide. The University of California San Francisco is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Organization Campus Job Code and Payroll Title

009403 BIOINFORMATICS PROGR 1

Job Category Professional (Non-Clinical) Bargaining Unit 99 – Policy-Covered (No Bargaining Unit) #J-18808-Ljbffr shefsolutionsllc