Psych-Core-Rsch

Full Time

74875BR

Job Summary

The laboratory of Matt State at the University of California, San Francisco is seeking a creative, independent, and team-oriented bioinformatics programmer to join our group. The State lab focuses on defining the etiology of childhood neuropsychiatric disorders, with particular interest in autism spectrum disorder, schizophrenia, OCD, and Tourette Disorder.  You will work on developing infrastructure updating data analysis pipelines for high throughput experiments and creating novel computational methods that integrate in-house and publicly available datasets related to neurodevelopmental and psychiatric disorders. You will work with Ph.D. and postdoctoral-level bioinformaticians and wet lab scientists within our group and collaborating groups to further this research and support the computing needs of the laboratory. While experience in biology and genetics would be a great asset, we are especially keen to hire an individual who is highly motivated with a positive attitude and team mentality, excellent organizational skills, an affinity for independent problem-solving, and the ability to learn and implement new methodologies efficiently.

Utilize and develop computational tools and statistical methodologies to analyze and interpret data generated through high-throughput experiments; in-house data types include single-cell/nucleus RNA sequencing data, protein-protein interaction data (generated via AP-MS), and whole exome sequencing data. Collaborate with wet lab researchers on the experimental and statistical design of projects and in the biological interpretation and integration of the resulting datasets. Use and adapt in-house analysis pipelines (currently mostly in the R programming language) to perform data analysis steps including data quality checks, normalization, statistical tests, correction for multiple testing, and further downstream analyses that integrate additional external datasets. Implement end-user needs in database searching and integration and provide web-based bioinformatics and access to public and proprietary databases. Help maintain the computational infrastructure and track the flow of samples and information for large-scale studies. 

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

The UCSF Department of Psychiatry and Behavioral Sciences is among the nation's foremost resources in the field of child, adolescent, and adult mental health. Psychiatry faculty members are recognized for their leadership roles in state-of-the-art, comprehensive, and compassionate patient care, pioneering research, excellence in training the next generation of leaders, advancing public policy to advance mental health, and commitment to diversity.

Required Qualifications

• Bachelor's degree in biological science, computational / programming, or related area AND three (3) years of relevant experience and/or equivalent experience/training.    
• Strong computational skills and knowledge in programming, statistics, and biology
• Proficient in the R and Python programming languages (or proficiency in one and a willingness to learn the other)
• System administration experience with UNIX/Linux/OSX
• Experience working with large-scale proteomics data and placing it in a biological context
• Application and validation of machine learning methods to complex data
• Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization.
• Knowledge of genetics, next-generation high-throughput sequencing, data security concepts and methods, Amazon Web Services
• Team player who is excited to work on collaborative, multidisciplinary projects
• Self-motivated, the ability to work independently and as part of a team, able to learn quickly, meet deadlines and excellent problem-solving skills.
• Ability to communicate technical information in a clear and concise manner.

Preferred Qualifications

• Experience in other large-scale -omics data (such as transcriptomics, and multiomics)
• Experience creating packages in R
• MS or Ph.D. in Computer Science/Biological Sciences, or equivalent combination of education and experience

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 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.

Job Code and Payroll Title

009401 BIOINFORMATICS PROGR 3

Job Category

Clinical Systems / IT Professionals, Technical & Technologist

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Location

Mission Bay (SF), San Francisco, CA

Additional Shift Details

M-F