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Genomics software engineer
1 month ago
Role: Genomics software engineer
Duration: 3-4 months
Location: 100% Remote
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. Remote working is accepted
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
Leadspecific 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
Handsonexperience 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
Haveaflexible 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
Best Regards,
Santosh Cherukuri
Email: scherukuri@bayonesolutions.com
