University of California, San Francisco Department of Biochemistry and Biophysics
The Goodarzi Lab at UCSF’s Department of Biochemistry and Biophysics is an interdisciplinary research group focused on understanding the molecular mechanisms of cancer metastasis. We take advantage of state-of-the-art computational and experimental techniques to advance our knowledge of the post-transcriptional regulatory pathways that drive cancer progression. We seek to hire a junior specialist to assist our group in building computational pipelines and implement data analytical models. Responsibilities include performing standard genomic and transcriptomic analyses, build customized model for functional genomic platforms, and implement and routinely document accessible pipelines for the community. Through this work, we expect that our junior specialist will play an integral role in advancing our knowledge of cancer biology and genomics.
We are seeking at least a two year commitment. Depending on performance and workload, opportunities for independent research may be available. At the conclusion of their tenure, the successful candidate will have deep proficiency in molecular cancer biology.
Appointees in the Specialist series will be expected to engage in specialized research, professional activities and do not have teaching responsibilities. Specialists are expected to use their professional expertise to make scientific and scholarly contributions, and may participate in University and Public Service. Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Salary will be commensurate with the applicants experience and training.
*Required Qualifications • 6 months of experience in a research setting. • BA/BS in Engineering, Biology, Computer science, Mathematics, Statistics, or closely related field. • Knowledge of, or experience with, basic techniques and methods required by the position, or equivalent combination of education and experience. • Excellent communication and organizational skills. • Ability to manage time and multitask effectively. • Ability to adhere to all campus safety policies. • Must meet the requirements by the time of appointment.
*Preferred Qualifications • Experience coding in Python and/or R environments • Experience with workflow management systems such as snakemake • Experience with Bioconductor packages.
UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence.
The University of California 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, disability, age or protected veteran status.
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 high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.