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Assistant/Associate/ Full Specialist on Bioinformatics/ Computational Biology study selective vulnerability in human neurodegenerative diseases
Assistant/Associate/ Full Specialist on Bioinformatics/ Computational Biology study selective vulnerability in human neurodegenerative diseasesUniversity of California - San Francisco • San Francisco, CA, United States
Assistant / Associate / Full Specialist on Bioinformatics / Computational Biology study selective vulnerability in human neurodegenerative diseases

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

University of California - San Francisco • San Francisco, CA, United States
24 days ago
Job type
  • Full-time
Job description

Application Window

Open date : February 5, 2025

Next review date : Wednesday, Dec 31, 2025 at 11 : 59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date : Wednesday, Aug 5, 2026 at 11 : 59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

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.

    Application Requirements

    Document requirements

    Curriculum Vitae - CV must clearly list current and / or pending qualifications (e.g. board eligibility / certification, medical licensure, etc.).

    Cover Letter - letter of interest

    Misc / Additional (Optional)

    Reference requirements

  • 3 required (contact information only)
  • About UC San Francisco

    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.

    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.

    UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.

    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.

  • "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, or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035 : Affirmative Action and Nondiscrimination in Employment
  • Job location

    San Francisco, CA

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    Computational Biology • San Francisco, CA, United States

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