Open date: September 10, 2021
Most recent review date: Tuesday, Aug 9, 2022 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Friday, Mar 10, 2023 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.
The Lynch lab is seeking a part-time and full-time Specialist to work on translation mass spectrometry research projects. The position will be in the Department of Laboratory Medicine at the University of California San Francisco. Our lab is based at Zuckerberg San Francisco General Hospital and works closely with the hospital’s Clinical Laboratory. We primarily focus on identifying and quantifying endogenous and exogenous small molecules in biological specimens using novel diagnostic technologies, such as mass spectrometry and thin-film interferometry. We are involved in translational research studies aimed at the clinical evaluation of novel biomarkers or biomarker panels to diagnosis, treat and monitor disease. The methods we develop are used to investigate perturbations in metabolic pathways caused by disease and drug use. An important part of our work is translating results into information that can be used in clinical practice. We bridge laboratory research and clinical research through multidisciplinary collaboration and methodologies.
Specialist responsibilities may include preparing specimens for mass spectrometry analysis; performing tandem or high-resolution mass spectrometry testing; and thin-film interferometry experiments; handling clinical research specimens and evaluating test performance of laboratory diagnostics.
We are seeking an exceptional and enthusiastic candidate with appropriate academic background:
• A Bachelor’s degree (or equivalent degree) to be appointed at the Junior rank.
• A Master’s degree (or equivalent degree) or five to ten years of research experience to be appointed at the Assistant or Associate ranks.
• Research experience to lead their own independent project(s) and assume roles in collaborative projects across the spectrum of translational research.
• Mass spectrometry experience and associated data analysis are preferred though not required.
• Candidate’s must meet the required qualifications at the time of hire. Candidate’s CV and/or cover letter must state basic qualifications (or if pending) upon submission.
Salary and rank will be commensurate with the applicants experience and training.
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.
Please apply online at https://aprecruit.ucsf.edu/JPF03588, with a CV, cover letter, and three reference contacts.
Curriculum Vitae - CV must clearly list current and/or pending qualifications (e.g. board eligibility/certification, medical licensure, etc.).
Statement of Research (Optional)
Statement of Teaching (Optional)
Statement of Contributions to Diversity (Optional)
Misc / Additional (Optional)
- 3 required (contact information only)
As a condition of employment, you will be required to comply with the University of California SARS-CoV-2 (COVID-19) Vaccination Program Policy found here: https://policy.ucop.edu/doc/5000695/SARS-CoV-2_Covid-19.
UC San Francisco seeks candidates whose experience, teaching, research, or community service that 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.