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Bioinformatics Programmer 3

University of California - San Francisco Campus and Health
United States, California, San Francisco
April 24, 2024

Bioinformatics Programmer 3

M_Biochem-Lab Genomics Resrch

Full Time

78022BR

Job Summary

The LGR is in search of a motivated computational biologist/bioinformatician, who will use their skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems to apply computational and statistical methods to analyze and interpret data obtained from the next generation of functional genomics screens. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently.

The ideal candidate will have a strong grasp of NGS technologies, particularly single-cell sequencing, and practical experience using tools such as Seurat or scanpy for bulk and single-cell analysis.Additionally, familiarity with CRISPR technologies (CRISPRi/a/n) and a solid understanding of biology are essential. Imaging may be involved, and applicants with imaging analysis would be preferred.

We highly value self-motivation and a commitment to continuous learning, as well as the ability to thrive in a collaborative research environment. Effective communication skills, both with technical and non-technical team members and external collaborators, are crucial.

The final salary and offer components are subject to additional approvals based on UC policy.

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

Please note: 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:

Department Description

The Laboratory for Genomics Research, (LGR), situated adjacent to the UCSF Mission Bay campus in San Francisco is a groundbreaking functional genomics center, uniting researchers from UC Berkeley, UC San Francisco, and GSK. This unique hybrid model fosters collaborative and independent projects. Additionally, the laboratory serves as a resource for UC campus investigators to address their biomedical inquiries. Utilizing CRISPR/Cas9-based tools, LGR aims to unveil gene functions, discover new drug targets, and pioneer technologies for academia and industry. Emphasizing deeper phenotypic insights, such as single-cell sequencing and imaging, the lab delves into novel biology. Explore our research at .

Required Qualifications


  • Bachelor's degree in biological science, computational / programming, or related area and minimum 3 years' experience and / or equivalent experience / training
  • Experience in NGS bioinformatics methods, familiarity with popular databases (e.g. NCBI, ENCODE) and various NGS file formats
  • Fluency in data science methods, including clustering, dimensional reduction and basic machine learning concepts
  • Communication and interpersonal skills with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization
  • Ability to interface with management on a regular basis
  • Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills
  • Proficiency in R or Python, as well as Unix/Linux shell scripting
  • Strong statistical, mathematical, and analytical skills
  • Ability to produce well-documented, high-quality code and troubleshoot problems independently

Preferred Qualifications


  • Masters or PhD in biological science, computational / programming, or related area and / or equivalent experience / training
  • Strong project management skills
  • A strong understanding of biology
  • Thorough knowledge of bioinformatics and machine learning methods used in image processing for high-throughput screens
  • Hands-on experience analyzing single-cell datasets using Seurat or scanpy
  • Familiarity with visualization libraries such as R Shiny
  • Ability to communicate technical information in a clear and concise manner
  • Thorough knowledge of web, application and data security concepts and methods

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

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.

Organization

Campus

Job Code and Payroll Title

009401 BIOINFORMATICS PROGR 3

Job Category

Clinical Systems / IT Professionals, Research and Scientific

Bargaining Unit

99 - Policy-Covered (No Bargaining Unit)

Employee Class

Career

Percentage

100%

Location

Mission Bay (SF)

Shift

Days

Shift Length

8 Hours

Additional Shift Details

Monday-Friday, 8AM-5PM

Applied = 0

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