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Assistant/Associate/ Full Specialist on Bioinformatics/ Computational Biology study selective vulnerability in human neurodegenerative diseases

Job Summary
We are seeking a Bioinformatician to join a multidisciplinary lab focused on neurodegenerative disease.

The ideal candidate will bring a strong background in bioinformatics, computer science, or computational biology, as well as general experience in the life sciences. Working with neuropathologists, neurologists, and neuroscientists, the candidate will help design and implement analyses of high dimensional data (e.g., [single-cell] RNA sequencing, genotype or WGS data, proteomics, digital pathology, etc.) from human brain tissue, utilizing bioinformatics tools and databases to reach biologically meaningful insights. Successful candidates should be scientifically motivated self-starters, comfortable working in a highly productive academic environment, and keen on modeling biological processes using rich datasets.

This position presents an outstanding training experience for a computational/bioinformatics scientist seeking to break into the neurodegenerative disease field. Neurodegenerative conditions, including Alzheimer’s disease and frontotemporal lobar degeneration, selectively target specific neuronal subpopulations, making the identification of molecular signatures of these vulnerable populations imperative for developing new treatments.

The appointment will be with the Seeley Lab, which is part of the Memory and Aging Center at UCSF.

Required Qualifications:

• Assistant Specialist - Master’s degree or a baccalaureate degree in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related field with three or more years of research experience.
• Associate Specialist - Master’s degree (or equivalent degree) in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related field or five to ten years of experience in the relevant experience.
• Full Specialist - terminal degree (or equivalent degree) in Bioinformatics, Computational Biology, Computer Science, Mathematics, Statistics, or a related field or ten or more years of experience in the relevant experience.
• Strong experience with pipeline development, bioinformatic tools, and data management, and demonstrated competence in programming languages such as R or Python for bioinformatics analyses.
• Experience with cloud-based storage and service tools is essential

Preferred Qualifications:

• MS or PhD degree
• Familiarity with the use or administration of laboratory information management systems is a plus.

Please apply online at https://aprecruit.ucsf.edu/JPF05474, with a letter of interest, CV, and three references (contact information only).

For other inquiries, please contact: bill.seeley@ucsf.edu.

See Table 24B for the salary range for this position. A reasonable estimate for this position is $61,300-$188,200.

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.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.
• “Misconduct” means any violation of the policies or laws governing conduct at the applicant’s previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
• UC Sexual Violence and Sexual Harassment Policy: https://policy.ucop.edu/doc/4000385/SVSH
• UC Anti-Discrimination Policy for Employees, Students and Third Parties: https://policy.ucop.edu/doc/1001004/Anti-Discrimination
• APM - 035: Affirmative Action and Nondiscrimination in Employment: https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-035.pdf