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Malaria genomic epidemiology & immunology. Spatial & temporal trends in transmission, strain specific immunity, using genomics.

The fellow will be expected to lead laboratory-based efforts to study the malaria parasite and/or the host response, and ideally lead or engage fully in related bioinformatic and analytical work. Our team is directly involved in all aspects of data generation and analysis including field work, generating laboratory data, modeling, communicating directly with malaria control programs in endemic countries, and helping build research capacity. Competitive salary including full benefits will be provided commensurate with experience and qualifications and the post offers ample opportunities for career development.

Essential Skills

• PhD or equivalent in a relevant field
• Experience with next generation sequencing technologies
• Strong statistical, bioinformatic, and computational skills
• Ability to work well as member of a team
• Excellent written and oral communication skills
• Background in basic biology, population genetics, immunology, ecology, and/or epidemiology

Helpful Skills

• Experience performing and/or analyzing highly multiplexed serologic assays
• Experience in analysis/modeling of infectious diseases
• Programming experience​​​​

University of California San Francisco
San Francisco
Closing date
August 30th, 2021
Posted on
May 20th, 2021 20:12
Last updated
May 20th, 2021 20:12