I am seeking a Postdoc in Biodiversity Informatics to develop new open
source scientific software to make specimen-based data (phenotypic,
genomic, spatial) easily accessible and ready to use in taxonomy
and other downstream studies. This will make specimen-based research
transparent, explicit, reproducible, and extensible. The postdoc will
develop a computational workflow to integrate data and analyses via
modular pipelines, automatize "data wrangling", generate data-driven
interfaces to interact with "big data", and create dynamic/reactive
documents native to the Web. This is a great opportunity to work in a
small research group that uses computational biology to support research
and training in quantitative taxonomy and evolutionary biology.
The ideal candidate will be comfortable with databases (relational
or graph) and experienced in writing efficient code and documentation
in at least one commonly used programming language (Python, R, Julia,
Ruby, C/C++, etc). The BIR will be familiar with standard practices in
scientific computing and software engineering including version control,
continuous integration, test-driven development, and a focus on minimum
viable products.
The postdoc will be part of a research group in the Department of Ecology
& Evolutionary Biology at the University of California, Los Angeles. The
postdoc will work and report to the principal investigator and other team
members, participate in the organization and management of data sets,
and ensure the integrity of complex data sets.
Qualifications:
Required:
- PhD in related area (bioinformatics, biodiversity, ecology evolution
systematics)
- At least 2 years of related Software Development in Biodiversity
Informatics experience
- Strong background in databases
- Programming and scripting experience (e.g. bash, Python, R, Julia,
Ruby, C/C++)
- Experience with version control technology such as Git
- Experience with continuous integration technology such as Travis CI
- Excellent verbal, written, and interpersonal communication skills
Preferred:
Experience using HPC and parallel systems
Experience with Machine Learning
Experience with JavaScript
Experience creating technical documentation
Experience with cloud technologies including: AWS, Docker, CyVerse
Application:
Please send a cover letter describing your qualifications and interest,
and your updated CV. Make sure to include links to your repositories
(e.g. GitHub, GitLab, BitBucket). Include the names and contact
information (email) of 2 references.
If you have any questions and to apply to the position, please
email fzapata@ucla.edu with the subject line Postdoc in Biodiversity
Informatics. The position will start as soon as possible and will remain
open until filled.
Job Location:
Los Angeles, CA
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. For the complete
University of California nondiscrimination and affirmative
action policy, see: UC Nondiscrimination & Affirmative Action
Policy. (http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct)
7 de diciembre de 2019
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Postdoc in Biodiversity Informatics