Junior, Assistant, Associate, or Full Specialist - He Lab

Junior, Assistant, Associate, or Full Specialist - He Lab

Department of Pathology

University of California, San Francisco

The He lab, a newly established lab in the Department of Pathology at UCSF, is seeking a highly motivated and skilled computer scientist/bioinformatician to join as a Junior, Assistant, Associate, or Full Specialist to lead or support cross-disciplinary projects involving single-cell and spatial transcriptomics and epigenomics.

Our previous work has leveraged in-house computational approaches to build cell atlases of developing human tissues with unprecedented resolutions (Mouse limb atlas, human limb atlas, human lung atlas, human lung immune atlas). As the scales of data increases and the spatial and multiomic technologies advance, more sensitive discoveries can be made with more optimized computational methods. Our lab is diligently working on developing creative models and algorithms to solve key problems in tissue heterogeneity and cell fate decision, as well as on synthesizing first-hand ground-truth annotations to guide the algorithm development.

Area of Specialization / Responsibilities: We are interested in candidates who are familiar with data science and reproducible research workflows with good mathematical instinct / programming habit. The successful candidate will be supporting routine data processing tasks from internal and external collaborators or/and driving independent algorithm development projects to advance their career.

Required Qualifications:

• Junior Specialist: BA/BS degree in quantitative subjects such as Computer Science, Bioinformatics/Biomath/Biostatistics, Statistics, Applied Math, or related field OR at least four years of research experience in quantitative analyses. Must have hands-on research experience.
• Assistant Specialist: Master's degree in quantitative subjects such as Computer Science, Bioinformatics/Biomath/Biostatistics, Statistics, Applied Math, or related field OR a bachelor's degree in quantitative subjects such as Computer Science, Bioinformatics/Biomath/Biostatistics, Statistics, Applied Math, or related field with 3 or more years of research experience, with significant hands-on research experience.
• Associate Specialist: Master's degree (or equivalent degree) in quantitative subjects such as Computer Science, Bioinformatics/Biomath/Biostatistics, Statistics, Applied Math, or related field OR five to ten years of experience in the relevant specialization, with strong record of independent research and publications.
• Full Specialist: Terminal degree (or equivalent degree) in quantitative subjects such as Computer Science, Bioinformatics/Biomath/Biostatistics, Statistics, Applied Math, or related field OR ten or more years of experience in the relevant specialization.
• Being able to organize workflow scrupulously and responsibly.
• Experience in Github.
• Applicant must have all requirements met by time of hire.
• Applicant's materials must list (pending) qualifications upon submission.

Preferred Qualifications:

• Assistant Specialist: A Master's degree.
• Associate Specialist: A PhD.
• Strong experience in python.

Required Application Materials:

• CV: An updated CV with undergrad GPA and publication list and description of contributions.
• Statement of Research: A brief statement explaining why you are interested in our lab, your past research experience, future research interest, and career goals (1 page).
• Cover Letter.
• Contact information for 3 references

See Table 24B for the salary range for this position. A reasonable estimate for this position is $53,100 - $188,200.

Please apply online at https://aprecruit.ucsf.edu/JPF05334.

• 3 required (contact information only)

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. The University of California 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, disability, age or protected veteran status.