Postdoc: Critical Assessment of Function Annotation
Summary of Duties and Responsibilities:
The Critical Assessment of Function Annotation or CAFA is an experiment designed to provide large-scale assessment of computational methods that are dedicated to predicting protein function, using a time challenge. The successful candidate will need to write and implement assessment algorithms for the Critical Assessment of Function Annotation (CAFA), as well as assess the methods competing in the 4th CAFA challenge which will take place late 2019-2020. The postdoc will gain experience in working with cutting-edge machine learning software in bioinformatics, produce robust software for the ongoing CAFA work, and will interact with a large and diverse international community of students and researchers participating in CAFA. They will be expected to manage the project both technically and in working with the CAFA community. More information of CAFA, including publications is available at: https://www.biofunctionprediction.org/cafa/
Required Minimum Qualifications:
A PhD in bioinformatics, software engineering, molecular biology or a related science field
Python programming Bioinformatics programming Experience in using common bioinformatics software and libraries Machine learning experience Experience with programming software using OBO ontologies such as the Gene Ontology Experience with common bioinformatics databases, with an emphasis on EBI databases specifically UniprotKB Development of robust software, preferably under an open-source model Server and client-side software development Experience writing manuscripts and grant proposals Excellent verbal and written English communication skills Experience in conference presentations
Proposed Start Date:
October 1, 2019
Proposed End Date or Length of Term:
August 31, 2020
Number of Months Employed Per Year:
To apply for this position, please click on âApplyâ and complete the Employment Application. Please be prepared to enter or attach the following:
1) Resume/Curriculum Vitae
2) Letter of Application/Cover Letter
2.1) a statement of research and fit for the position and,
2.2) a link to software the candidate has already written, such as a Github repository
3) Contact Information for Three References
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