Position duration: The initial appointment is for a duration of 2 years with the expectation of extension based on satisfactory performance and funding availability.
Application Window Open date: April 25, 2023
Next review date: Friday, Jun 9, 2023 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Monday, Jun 26, 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 lab of Dr. Spencer Diamond at UC Berkeley's Innovative Genomics Institute (IGI) is recruiting postdoctoral scholars to join a highly collaborative team of researchers, including Prof. Jennifer Doudna and Prof. Jillian Banfield, who are tightly integrated within IGI's Berkeley Initiative for Optimized Microbiome Editing (BIOME). Projects will focus on characterizing model microbiomes using genome-resolved multi-Omics methods, statistical/metabolic modeling, and machine learning. The postdoc will apply these approaches to generate a systems level understanding of microbiomes including the importance of individual microbial species, microbe-microbe interactions, plasmids, and phages in the behavior of a whole microbiome. These efforts will be closely integrated with those of a multidisciplinary team from UC Berkeley, UCSF, and UC Davis to design strategies to alter microbiome behavior through targeted genetic editing. Specific projects are flexible but could range from modeling microbiome influences that contribute to inflammatory process in the human gut to characterizing the mobilome of livestock rumen. This work is supported by a long term fully funded grant program, will allow significant flexibility in project design, and is supported by IGI core resources such as large sequencing allowances and a comprehensive in-house computational infrastructure.
Qualifications Basic qualifications (required at time of application) PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program.
Additional qualifications (required at time of start) PhD (or equivalent international degree) required by the appointment start date. No more than three years of post-degree research experience by start date.
Preferred qualifications Doctoral degree in Microbiology, Computational Biology, Genomics, Systems Biology, Statistics or related discipline
Publication record in Microbiology, Metagenomics, Metabolic/Statistical Modeling, Bioinformatics, Systems Biology or related fields.
Demonstrated experience in the some or all the following areas:
Environmental Microbiology / Microbiomes
Genome Resolved Metagenomics
Microbial Statistical Ecology
Metabolic and/or Statistical Modeling
Machine Learning and Machine Learning Frameworks
NGS Data Analysis
Programming proficiency in R or Python
Training and Mentoring Junior Scientists
Excellent verbal and written communication skills
Curriculum Vitae - Your most recently updated C.V.
Statement on Contributions to Advancing Diversity, Equity, and Inclusion - Statement on your contributions to diversity, equity, and inclusion, including information about your understanding of these topics, your record of activities to date, and your specific plans and goals for advancing equity and inclusion if hired at Berkeley. More Information and guidelines.
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