Research Data Analyst

Research Data Analyst

PEDS-CRITICAL CARE

Full Time

86369BR

Job Summary

statistical analyses and / or research software programming techniques. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.

The Bodansky and DeRisi laboratories at the University of California at San Francisco are seeking a Research Data Analyst (open to hiring levels 1 through 4 depending on the skills of the applicant) with recognized expertise in the analysis and interpretation of highly complex multidimensional data sets to lead the analytic support for numerous projects of broad scope and complexity in order to support the combined research enterprises of the Bodansky and DeRisi Laboratories.

The DeRisi Lab at UCSF , led by Joe DeRisi (former HHMI Investigator, CZ Biohub SF President), is known for combining genomics, bioinformatics, and innovative technology development to investigate infectious diseases, autoimmunity, and unexplained illnesses. They pioneered approaches like microarrays, next-gen sequencing for pathogen discovery, and high-throughput proteome-wide protein display technologies, leading to the discovery of novel viruses and autoantibodies, and improving diagnostics for global health and clinical medicine.

The Bodansky Lab at UCSF , led by Aaron Bodansky (Assistant Professor of Pediatric Critical Care, Burroughs Wellcome Fund CAMS awardee, UCSF PSSP Scholar, recent DeRisi Lab post-doc) is dedicated to solving a broad range of currently poorly understood and devastating pediatric diseases.

Together, they are deeply interested in understanding the role of autoantibodies in health and disease. This builds upon their recent work helping define the "autoreactome" (a new 'omic' biological frontier; paper here), and applying these discoveries to solve previously enigmatic severe pediatric diseases (paper here; featured locally UCSF; Mission Local and nationally : New York Times, NPR).

The successful candidate would function with a high degree of autonomy to process high dimensional data, ensure the data meets high standards of quality and reproducibility, and use both existing computational platforms, and create new analytic platforms to both compile and interpret the data. Though no previous experience is expected in PhIP-Seq analysis, the candidate would be expected to quickly learn, apply, and analyze large scale PhIP-Seq data (next generation sequencing readouts of antibodies targeting proteins expressed by a phage library; for example all human proteins or all viral proteins), including newer iterations of PhIP-Seq for high-resolution epitope mapping. The candidate would also develop systems to design new bespoke PhIP-Seq libraries.

Additionally, the successful candidate should have significant experience with traditional single cell and bulk transcriptomic analysis, as well as immune receptor repertoire sequencing (BCR / TCR) analysis. It would be expected that the successful candidate would prepare data for scientific publications, and present data at meetings and national scientific conferences. This candidate would serve as an analytical hub for the lab, integrating with the existing laboratory members and computational biologists, serving to train students and postdoctoral fellows in basic computational analysis.

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 $87,900 - $126,900 (Annual Rate).

To learn more about the benefits of working at UCSF, including total compensation, please visit :

Department Description

The Department of Pediatrics is one of the largest and most complex departments in the School of Medicine. The department is comprised of 19 divisions employing over 400 faculty, 83 fellows, 84 residents, 31 Post Docs and non faculty academics and 170 staff. The Department has annual clinical income from inpatient and outpatient activities totaling over $90 million and annual extramural funding (contracts and grants) exceeding $40 million. The department ranks 17th in the nation among Pediatric departments for funding from the National Institutes of Health.

The Department's clinical enterprise is based at the 183-bed UCSF Benioff Children's Hospital San Francisco, the 191-bed UCSF Benioff Children's Hospital Oakland, Mount Zion, Zuckerberg San Francisco General, and at a number of outreach clinics throughout Northern California, providing the Department with an unsurpassed opportunity to meet the needs of infants, children, and young adults throughout the Bay Area. In 2019, UCSF Benioff Children's Hospitals ranked in all 10 children's specialties in U.S. News and World Report.

Required Qualifications

• Bachelor's degree in related area and / or equivalent experience / training
• Advanced skills associated with statistical analysis, database management, and programming with at least 2 years prior experience in the analysis of single cell transcriptomic datasets and immune receptor repertoire analysis
• Thorough, in-depth knowledge of research function
• Thorough skills associated with statistical analysis and systems programming
• Thorough skills in analysis and consultation
• Skills to communicate complex information in a clear and concise manner both verbally and in writing
• Skills in project management
• Research skills at a level to evaluate alternate solutions and develop recommendations
• Advanced skills in analysis and consultation
• Advanced ability to communicate complex information in a clear and concise manner both verbally, visually and in writing
• Advanced ability to think creatively to recommend action steps or strategize solutions relative to research

Preferred Qualifications

NA

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

006257 RSCH DATA ANL 3

Job Category

Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

San Francisco, CA

Campus

Mission Bay (SF)

Work Style

Flexible

Shift

Days

Shift Length

8 Hours

Additional Shift Details

M-F, 8am - 5pm; Flexible (Primarily Bodansky and / or DeRisi lab but some remote work acceptable