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This contract position provides the opportunity to join the Genentech Research group and implement and deliver bioinformatics tools for a wide range of applications working with high-throughput proteome analysis. The candidate will work with a team focused on infrastructure developments for proteomics and will collaborate with different research groups at Genentech.

The candidate will be responsible for migrating existing software and scripts to the existing workflow management system for proteomics data analysis and making them available to different research teams.

Top skills:
A masters degree or equivalent experience in a quantitative discipline such as bioinformatics, biotechnology, computational biology, computer science, or a related field is required.
Excellent analytical, communication, and organizational abilities, coupled with a keen eye for detail in coding practices.
Team-oriented focus and the ability to work independently.
Proficiency in Python and the ability to build Python applications.
Proficiency in GNU/Linux.
Key responsibilities
The candidate will be responsible for migrating existing software and scripts to the existing workflow management system for proteomics data analysis and making them available to different research teams. Existing R scripts will be converted to R packages, or converted entirely to Python. The code will be prepared for integration into the workflow management system by ensuring that the nodes are connecting properly to existing workflows. The candidate will use the workflow interface designer to ensure that users will be able to execute the software node correctly by having access to the right parameters. The candidate will also be responsible for testing the new workflow implementation to make sure the results are as expected.

Required qualifications
A masters degree or equivalent experience in a quantitative discipline such as bioinformatics, biotechnology, computational biology, computer science, or a related field is required.
Excellent analytical, communication, and organizational abilities, coupled with a keen eye for detail in coding practices.
Team-oriented focus and the ability to work independently.
Proficiency in Python and the ability to build Python applications.
Proficiency in GNU/Linux.
Proficiency with git version control.
Proficiency with Docker containers.
Familiarity with R and the ability to build structured R applications.
Familiarity with issue tracking systems, and CI/CD.
Familiarity with web development and how to interact with REST interfaces.
Familiarity with high-performance computing environments. •

Last updated on Nov 28, 2023

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