Computational and Data Science Specialist

Computational and Data Science Specialist

MED-ZSFG-AIDS

Full Time

86539BR

Job Summary

The Division of HIV, Infectious Diseases and Global Medicine at Zuckerberg San Francisco General Hospital (ZSFG) is an internationally recognized global leader in HIV clinical care, research and education and has grown to encompass a network of specialty clinics, multiple research and clinical trials, an infectious diseases / HIV education program, an international research program in East Africa and a vibrant community forum for clinicians and researchers.

Dr. Lee's research group (https : / / sulggileelab.ucsf.edu / ), housed within the division, focuses on clinical and translational research, and in particular, observational cohort and clinical trial studies that focus on infectious diseases, such as HIV and SARS-CoV-2 . The Senior Computational and Data Science Research Specialist will work at an independent level to assist the Principal Investigator in running the computational aspects of Dr. Lee's research group. He / she will have the unique opportunity to work directly with project directors and research collaborators in designing and implementing data analysis methods to analyze a wide range of multidisciplinary projects. These incldue host genomewide (e.g., whole genome sequencing, GWAS microarray), single cell sequencing (e.g., 10X scRNA / VDJ / ATAC / antibody), pathogen-specific assays (e.g., HIV reservoir quantification by droplet digital PCR methods, HIV-host integration PCR assays) and applying advanced statistical modeling approaches to these data (e.g., linear and nonlienar mixed effects modeling, causal inference modeling). The incumbent will directly perform complex analyses applying novel computational methods, manage the research group's server space (UCSF Wynton HPC cluster), assist in overseeing and mentoring trainees (e.g., postdoctoral fellows, graduate students), and be a major part of bringing the analysis projects to completion.

The candidate should have a strong background in biostatistics, statistical genetics, and single cell sequencing bioinformatics. He / she should have strong interpersonal and communication skills to be able to interact with a interdisciplinary collaborators (clinical and laboratory-based). Depending on the candidate's interest, there is the potential to help build and support the new Center for AIDS Research (CFAR) Bioinformatics Core, for which Dr. Lee is the Co-Director. The new CFAR Bioinformatics Core aims to provide computational support to HIV researchers performing bioinformatics projects, with a strong emphasis on mentoring junior trainees (https : / / cfar.ucsf.edu). There is also potential for yearly travel to HIV cure conferences to meet with key international research collaborators. These are not requirements, however.

There is a strong social-justice component to this job - your work will be directly contributing to projects that are focused on improving the health of individuals through novel application of advanced laboratory and computational methods.

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 $97,100- $115,000 (Annual 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

Department Description

The Division of HIV, Infectious Diseases and Global Medicine at the University of California, San Francisco (UCSF) is an internationally recognized global leader in clinical care, research, and education. With its home-base located at Zuckerberg San Francisco General Hospital and Trauma Center (ZSFG), the Division has been ranked as the top facility in the country for AIDS care since 1983. The Division's work is featured frequently in the media, and it is often visited by numerous international, national, state, and local dignitaries and delegations. The Division consists of approximately 38 faculty members, 14 fellows / postdoctoral scholars and 170 academic and staff employees. It is the largest Division of the Department of Medicine (DOM) at ZSFG, with a total expenditure budget of approximately $52 million dollars.

Required Qualifications

• Master's degree in Math / Statistics / Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience and three or more years of relevant experience. Strong preference for those with experience in causal inference modeling
• Intermediate knowledge of HPC / data science / CI
• Advanced skills, and 2-3 years demonstrated experience in the area of bioinformatics, computational biology, physics, mathematics, and / or statistical genetics, and associated with one or more of the following : HPC hardware and software power and performance analysis and research, design, modification, Implementation and deployment of HPC or data science or CI applications and tools
• Demonstrated ability to regularly interface with management
• Ability to work independently; strong sense of accountability for their work; attention to detail; strong interpersonal skills; excellent, effective verbal and written communication skills to coordinate with Principal Investigator, team members, other departments, and outside institutions; and the ability to multi-task in a fast-paced environment while working with a diverse subject population
• Demonstrated effective communication and interpersonal skills. Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization and to external research and education audiences
• Proven skills and experience in independently resolving broad computing / data / CI problems using introductory and / or intermediate principles
• Self-motivated and able to work well independently and as part of a team. Able to learn effectively, complete projects in a timely manner, and prioritize multiple projects to ensure the completion of essential tasks by deadlines
• Thorough experience working in a complex computing / data / CI environment encompassing all or some of the following : HPC, data science infrastructure and tools / software, and diverse domain science application base
• Proven ability to successfully work on multiple concurrent projects
• Proven ability to understand research computing / data / CI needs, mapping use cases to requirements and how systems / software / infrastructure can support those needs and meet the requirements. Demonstrated ability to develop and implement such solutions
• Demonstrated broad experience in one or more of the following : optimizing, benchmarking, HPC performance and power modeling, analyzing hardware, software, and applications for HPC / data / CI
• Demonstrated experience and ability to collaborate effectively with all levels of staff; technical, students, faculty and administrators
• Solid technical understanding and proficiency with programming languages (e.g., R, Python, Perl, Matlab, C / C++) and SQL
• Expertise in working with genomic, transcriptomic, and / or immunologic (flow cytometry) data and relevant analytic tools (e.g., PLINK, SKAT, R Seurat package, FlowJo)
• Strong demonstrated ability to deliver high quality work with attention to detail and the ability to meet strict deadlines.

Preferred Qualifications

PhD degree in Math / Statistics / Computer / Computational / Data Science, or Domain Sciences with computer / computational / data specialization or equivalent experience

1 terabyte) and working within Linux-based cloud computing clusters

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.

Organization

Campus

Job Code and Payroll Title

006104 CMPTL AND DATA SCI RSCH SPEC 3

Job Category

Clinical Systems / IT Professionals, Professional (Non-Clinical)

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

Zuckerberg San Francisco General (ZSFG)

Work Style

Hybrid

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F, 8am - 5pm; Hybrid - ZSFG Pride Hall Onsite and Remote