Postdoc or Staff Computational Biologist: The Moi Exposito-Alonso Lab at Stanford University is seeking a highly motivated and skilled Postdoctoral or Staff Computational Biologist to contribute to the study of quantitative evolutionary genomics and ecology in plants. The lab focuses on understanding the impacts of climate change on plant species from a genomics perspective. This position offers the opportunity to work on projects involving large-scale Evolve & Resequence data, global population genomic datasets, and the genetic and demographic drivers of population extinction.
Designation: Postdoc or Staff Computational Biologist
Research Area: Genomics, bioinformatics, population/quantitative genetics, or evolution
Location: Stanford, CA, USA
Eligibility/Qualification:
- BSc + PhD in genomics, bioinformatics, population/quantitative genetics, or evolution.
- Strong research productivity and independence.
Job Description:
Postdoc or Staff Computational Biologist: Quantitative Evolutionary Genomics and Ecology in Plants
Lab Location | 260 Panama st., Stanford, CA 94305, USA |
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Annual Salary | $70,000 (Postdoc) / $80,000 (Staff Comp. Bio) |
Contract Duration | 1 year, with potential extensions up to 4-5 years |
Publication Date | May 2023 |
Starting Date | Flexible |
Closing Date | Accepting applications until filled |
Responsibilities
- Lead independent research and prepare publications.
- Collaborate closely with lab members and external collaborators.
- Contribute to a positive and productive lab environment.
- For Staff Computational Biologist: Build and maintain lab pipelines, train lab members, administer computational facilities, and serve as a team leader.
The successful candidate will be responsible for:
- Leading independent research, including publication preparation and presentation at scientific meetings.
- Collaborating closely with lab members and external collaborators.
- Contributing to lab-wide tasks to foster a productive and positive research environment.
- For the Staff Computational Biologist position: Building and maintaining lab pipelines, training lab members, administering computational facilities, and serving as a team leader.
How to Apply: Interested candidates should email Moises (Moi) Exposito-Alonso at admin@moilab.science. Please include the following documents:
- Cover letter
- Curriculum Vitae (CV)
- Contact information of three referees for letters of recommendation
Last Date for Apply: Accepting applications until filled
For more information about the Moi Exposito-Alonso Lab and their values, please visit our website at https://www.moilab.science/our-values
For any informal inquiries regarding this position, please email Moises (Moi) Exposito-Alonso at admin@moilab.science.