Antimalarial Drug Resistance Postdoc Opportunity at UCSF (Lab Based)

1001 Potrero Ave
Building 30
San Francisco, CA 94110
United States
Job Posted Date: 
April 5, 2024
Full-time Positions
Postdoc Positions at UCSF
Global Health

The Rosenthal/Conrad lab at UC San Francisco is seeking a talented scientist with a laboratory and analytical background to study emerging antimalarial drug resistance in Africa using genomic, parasitologic, and epidemiologic data. The successful candidate will work along with a diverse team of scientists at UCSF and international collaborators to characterize the molecular epidemiology and mechanisms of antimalarial drug resistance in Africa.

The postdoctoral fellow will be expected to develop, optimize, and apply experiments to characterize genomic mediators of drug resistance, including genotype-phenotype associations to identify novel markers and mechanisms of antimalarial drug resistances. Successful candidates will be encouraged to develop an independent line of work in this area. Our team is directly involved in all aspects of data generation and analysis including clinical and epidemiologic studies in Africa, laboratory studies of malaria parasites in Africa and at UCSF, and utilization of complex analytical tools to identify meaningful associations. (Tumwebaze, et al., Lancet Microbe, 2021; Tumwebaze, et al., Nat Commun, 2022; Conrad, et al., New Engl J Med, 2023). We are also engaged with building research capacity and communicating with malaria policy makers in Africa. Competitive salary including full benefits will be provided commensurate with experience and qualifications, and the post offers ample opportunities for career development.


Job Requirements: 

Preferred Skills

  • PhD or equivalent in a relevant field
  • Background in laboratory genomics, ideally with some experience in pathogen genomics and sterile technique for parasite culture
  • Ability to generate, analyze, and interpret next generation sequencing data
  • Demonstrated ability to produce independent, creative work
  • Ability to work well as member of a team
  • Excellent written and oral communication skills

Helpful Skills

  • Strong statistical and computational skills
  • Programming experience in R or Python
  • Experience with bioinformatic pipelines.
How to Apply: 

Salary is commensurate with experience. E-mail a curriculum vitae and a statement (no more than 3 pages) stating research interests, research experiences, and career goals to: [email protected] and [email protected]. Candidates should also arrange for at least three (3) references to email recommendations.

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.

San Francisco
Greater Bay Area