Job Description

Position Overview:
The Department of Biology Research & AI Development (BRAID) within Genentech Research and Early Development (gRED) seeks a bioinformatics associate to serve a critical role on an internal project. This work will enhance our understanding of our vast collection of molecular data and will facilitate new downstream capabilities not possible without its implementation. You will be responsible for organizing internal data, collecting external data, implementing (and potentially enhancing) bioinformatics pipelines, and leading specific downstream analyses after the data is fully processed. This position is expected to be 100% (40 hours/week) time, and available for meetings during Pacific timezone if needed. 

Responsibilities:
● Develop systems for processing large amounts of internal data with established
pipelines
● Locate useful external datasets and work with data ingest team to efficiently bring
the public datasets in-house
● Communicate with BRAID and Data Management team members to ensure all
data is being handled properly and efficiently
● Organize the storage and management of the raw and processed data
● Lead specific downstream analysis tasks and produce figures that can be used in
final presentation of project
● Document all processes and maintain clear and detailed records of the data
handling and analysis steps

Requirements:
● Hands on experience working with NGS bioinformatics pipelines
● Familiarity with Python and data organization packages (e.g. pandas)
● Proficiency with UNIX/Linux operating system
● Strong organizational skills and attention to detail
● Enthusiastic about working in a scientific environment, especially one focused on
drug discovery and development
● Have a flexible learning mindset and be able to work in a fluid and dynamic
environment
● Demonstrated ability to effectively communicate about complex bioinformatics
problems to peers, users and leadership

Additional Valuable Experience
● Experience with CellRanger and 10X scRNA-seq data processing
● Familiarity with workflow languages such as WDL or NextFlow
● Knowledge of basic machine learning concepts and experience with scikit-learn
and PyTorch
● Experience with cloud computing platforms (e.g., AWS, Google Cloud) for
large-scale data processing
● Understanding of single-cell RNA-seq data analysis techniques and tools
● Proficiency with version control systems such as Git

Job Tags

Contract work, Flexible hours,

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