Job description
This is a collaborative project with a Stanford University laboratory. The position is for two to three years, with the possibility of extension for another 1-2 years depending on the funding. The SRA I/II is preferably to have knowledge of neuroanatomy and bioinformatics. They will perform histological studies and computational analysis and conduct analyses under Dr. Paredes' direct supervision.
To aid in the lab’s efforts, the SRA I/II will assist the lab with collection and processing of brain tissues from hospital operating room and morgue. They will perform various downstream experiments with these samples, such as immunohistochemistry and fluorescent microscopy.
In addition, they will be expected to work with a team to perform tissue processing, such as nuclei isolation protocols, and sequencing experiments. The individual ideally should also have experience with Python, R studio, or equivalent programming skills.
As we work with precious patient samples that typically must be processed as soon as they arrive in our laboratory, some scheduling flexibility and a positive attitude are important. In return, you will receive the opportunity to work with innovative technology and unique, fascinating patient populations in a collaborative work environment. We are an innovative, passionate group of researchers and hope to find someone who shares our commitment to the exciting work we are doing.
To see the salary range for this position (we recommend that you make a note of the job code and use that to look up): TCS Non-Academic Titles Search (ucop.edu)
Please note: The compensation ranges listed online for roles not covered by a bargaining unit agreement are very wide, however a job offer will typically fall in the range of 80% - 120% of the established mid-point. An offer will take into consideration the experience of the final candidate AND the current salary level of individuals working at UCSF in a similar role.
For roles covered by a bargaining unit agreement, there will be specific rules about where a new hire would be placed on the range.
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
Required Qualifications
- BA/BS in a related science and knowledge of, or experience with, the basic techniques or methods required by the position; or an equivalent combination of education and experience
- BA/BS in a related science and one or more years of recent, directly related work experience, utilizing the techniques or methods required by the position; and/or equivalent experience/training.
- Data analytics skills including computer programming (e.g., R, Python, MATLAB), familiarly with common statistical techniques like ANOVA and regression
- Communication skills
- Organizational skills
- Detail oriented; works with a high level of accuracy
- Ability to work independently
Preferred Qualifications
- Prior experience with computer vision methods.
About UCSF
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
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