What are the responsibilities and job description for the Assistant/Associate/ Full Specialist on Bioinformatics/ Computational Biology to position at University of California - San Francisco?
Open date: August 20, 2025
Next review date: Tuesday, Sep 8, 2026 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Saturday, Feb 20, 2027 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.
Assistant/Associate/ Full Specialist on Bioinformatics/ Computational Biology to study women's health in brain aging and Alzheimer's disease.
Job Summary
We are seeking a Bioinformatician to join a multidisciplinary lab focused on women's health, the X chromosome, brain aging and Alzheimer's 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 molecular biologists, neuropsychologists, and neuroscientists, the candidate will help design, implement, and analyze high dimensional data (e.g., cell free RNA and DNA sequencing; epigenetics, fragmentomics, and topology of cell-free DNA in plasma; single nuclei RNA and ATAC sequencing) from human samples, 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 fields of women's health and neurodegenerative disease. The discoveries generated could contribute to new, and urgently needed, diagnostics and treatments for brain aging and neurodegenerative conditions, including Alzheimer's disease.
The appointment will be with the Dubal Lab and the Casaletto Lab, both in close proximity in the Department of Neurology at UCSF. The Casaletto lab 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 PhD 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 - PhD (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
- Application materials must state qualifications (or if pending) upon submission.
- Applicants must possess the required qualifications by the time of the appointment.
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/JPF05754, with a letter of interest, CV, and three references (contact information only).
For other inquiries, please contact: dena.dubal@ucsf.edu
See Table 24B for the salary range for this position. A reasonable estimate for this position is $63,500-$194,800.
APPLICATION REQUIREMENTS
Document requirements
- Curriculum Vitae - CV must clearly list knowledge of techniques, publications, etc.).
- Cover Letter - letter of interest
- Misc / Additional (Optional)
Reference requirements
- 3 required (contact information only)
Curriculum Vitae - CV must clearly list knowledge of techniques, publications, etc.).
Cover Letter - letter of interest
Statement of Research (Optional)
Statement of Teaching (Optional)
- 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.
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
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.
Salary : $63,500 - $194,800