Genomics Computational Systems Biologist

Overview

The Geneva Foundation is possibly looking for a Genomics Computational Systems Biologist to provide research support administration services in Frederick, MD. This role may become available in the near future. Resumes are reviewed on an ongoing basis, and you could be contacted for this role or similar at any time.

• Support and maintain high-throughput analysis pipelines for omics data, pathogen discovery, and genome analysis, and integrate with in-house databases.
• Work in a Linux environment with scripting languages to develop large-scale parallel data pipelines and server-side compute workflows. Proficiency in Python, Perl, Shell, R, C++, and JAVA is preferable.
• Process large-scale genomics datasets from sequencing platforms (e.g., Oxford Nanopore, Illumina) including WGS and RNA-Seq; build and maintain analytical workflows and tools for automated deployment of bioinformatics pipelines for parallel processing of NGS data.
• Set up and maintain travel laptops for overseas training missions (where applicable).
• Monitor and respond to hardware/server issues; manage and administer the Microsoft HPC cluster, install and configure HPC software, optimize performance, and resolve bottlenecks.
• Collaborate with researchers and end-users to understand computing and data requirements, provide guidance, implement solutions, monitor HPC jobs and queues, and troubleshoot to ensure on-time delivery.
• Conduct regular system backups and develop disaster recovery plans; stay current with HPC technologies and best practices; document configurations, procedures, and troubleshooting guides.
• Assist in maintaining laboratory records for sample processing, analysis pipeline design and usage, and data management/backups in accordance with CGS and institutional requirements; communicate issues to the PI or TPOC.
• Assist in maintaining laboratory equipment and data storage management; maintain a safe, organized, and professional work environment.
• May require travel to provide training or support to external collaborators; variable work schedules (second shift) and occasional weekends may be required to accomplish time-sensitive tasks.
• May present work, attend meetings and training, and, in collaboration with government partners, engage with external collaborators to support biosurveillance and training missions (CONUS or OCONUS travel approximately 1–2 times per year).
• Other duties as assigned by Supervisor.

• Bachelor’s degree in Bioinformatics or a relevant field;
  Master’s degree preferred.
• 3–5 years of experience working with genomics datasets.
• Proficiency in a Linux environment.
• Proficiency with Python, Perl, Shell, R, C++, and JAVA is preferable.
• PRP enrollment highly preferred.

• Mid-Senior level

• Full-time

• Research, Analyst, and Information Technology
• Industries:
  Research Services

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