OverviewChenega Services and Federal Solutions, LLC., a
Chenega Professional Services' company, is looking for a
Genomics Computational Systems Biologist to provide scientific, computational, and analytical support within the Center for Genome Sciences (CGS). The position supports computational and analytical tool installation, bioinformatics pipeline development, high-throughput omics data analysis, pathogen discovery, genome analysis, and integration with in-house databases. The incumbent develops, maintains, and optimizes analytical workflows for large-scale genomics datasets generated from Oxford Nanopore and Illumina sequencing platforms, including whole genome sequencing and RNA-Seq data. This role also supports high performance computing (HPC) cluster administration, automated bioinformatics pipeline deployment, data management, laboratory equipment connectivity, technical documentation, and collaboration with researchers and end-users to support biosurveillance, training, and scientific research missions.
Responsibilities- Support and maintain high-throughput analysis pipelines for omics data, pathogen discovery, genome analysis, and integration with in-house databases.
- Develop, support, and maintain large-scale parallel data pipelines and compute node server-side workflows in a Linux environment.
- Process large-scale and high-throughput genomics datasets generated from Oxford Nanopore and Illumina sequencing platforms, including whole genome sequencing and RNA-Seq datasets.
- Build and maintain analytical workflows and tools for automated deployment of bioinformatics pipelines supporting parallel processing of Next Generation Sequencing data.
- Install, configure, and maintain computational and analytical tools and pipelines on HPC clusters.
- Manage and administer the Microsoft HPC cluster, including HPC software, related tools, system performance, and operational readiness.
- Monitor and respond to hardware, server, and infrastructure issues.
- Monitor and optimize HPC infrastructure performance and resolve performance bottlenecks.
- Monitor HPC jobs and queues, troubleshoot issues, and perform system debugging to support job completion and on-time delivery.
- Collaborate with researchers and end-users to understand computing and data requirements, provide technical guidance, and implement solutions to address research needs.
- Conduct regular system backups and develop disaster recovery plans to minimize downtime in the event of system failure or data loss.
- Stay current with HPC technologies, tools, and best practices and make recommendations for system upgrades and optimizations.
- Document system configurations, procedures, and troubleshooting guides for internal reference and knowledge sharing.
- Maintain laboratory records documenting sample processing, analysis pipeline design and usage, data management, and backups in accordance with CGS and institutional requirements.
- Communicate experimental data, laboratory issues, and task-related concerns to the Principal Investigator or TPOC.
- Maintain laboratory equipment, network connectivity to equipment, equipment-specific updates, and data storage management.
- Set up and maintain travel laptops for overseas training missions.
- Provide training and technical support for pipeline installation to external collaborators as required.
- Present work, attend meetings and training, and engage with partners in support of biosurveillance and training missions.
- Maintain an organized, safe, and professional work environment.
- Other duties as assigned
Qualifications- Master's degree in biomedical science, bioinformatics, mathematics, computer science, or a related field.
- Minimum of five (5) years of related experience.
- Experience providing scientific, computational, or analytical support within genomics, bioinformatics, computational biology, systems biology, or a related scientific discipline.
- Experience installing, maintaining, and supporting computational and analytical tools or pipelines on HPC clusters.
- Experience constructing high-throughput analysis pipelines for omics data.
- Experience integrating computational pipelines or analytical workflows with in-house databases.
- Experience working in Linux environments.
- Experience using scripting languages such as Shell, Python, and Bash to automate administrative or analytical tasks.
- Understanding of HPC concepts, parallel computing, and distributed storage.
- Experience processing large-scale genomics datasets generated from Oxford Nanopore and Illumina sequencing platforms.
- Experience supporting NGS data analysis and automated bioinformatics pipeline deployment.
- Ability to support data management, backups, documentation, troubleshooting, and technical communication requirements.
- Ability to travel CONUS or OCONUS as required.
- Ability to work variable schedules, including second shift and occasional weekends, when required for time-sensitive laboratory tasks.
- Successfully pass background and drug screening
Preferred Qualifications:
- Experience supporting genomics, pathogen discovery, biosurveillance, genome analysis, or omics data analysis programs.
- Experience with Python, Perl, Shell, R, C++, or Java.
- Experience developing automated workflows for parallel processing of NGS data.
- Experience analyzing whole genome sequencing and RNA-Seq datasets.
- Experience working with Oxford Nanopore and Illumina sequencing outputs.
- Experience administering Microsoft HPC clusters.
- Experience monitoring HPC jobs, queues, compute infrastructure, system performance, and troubleshooting activities.
- Experience developing internal technical documentation, troubleshooting guides, system configuration records, or knowledge-sharing resources.
- Experience supporting travel laptop configuration for overseas training missions.
- Experience providing pipeline installation training or technical support to external collaborators.
Knowledge, Skills and Abilities:
- Knowledge of genomics, computational biology, systems biology, bioinformatics, omics data analysis, and pathogen discovery workflows.
- Knowledge of NGS data analysis, whole genome sequencing, RNA-Seq analysis, and high-throughput genomics data processing.
- Knowledge of HPC concepts, parallel computing, distributed storage, and computational pipeline deployment.
- Knowledge of Linux operating environments and scripting for computational workflow automation.
- Knowledge of Python, Bash, Shell scripting, and related programming or scripting languages used in scientific computing.
- Knowledge of Oxford Nanopore and Illumina sequencing data outputs and associated analysis workflows.
- Knowledge of HPC cluster administration, software installation, configuration, performance monitoring, system optimization, and troubleshooting.
- Knowledge of data management, backup procedures, disaster recovery planning, and system documentation practices.
- Ability to build, maintain, troubleshoot, and optimize bioinformatics workflows and high-throughput analysis pipelines.
- Ability to collaborate with researchers and end-users to understand technical requirements and implement computational solutions.
- Ability to monitor system performance, identify bottlenecks, troubleshoot failures, and support timely completion of computational jobs.
- Ability to document system configurations, technical procedures, troubleshooting steps, and internal reference materials.
- Ability to communicate technical information, data issues, laboratory issues, and task-related updates to the Principal Investigator, TPOC, researchers, and end-users.
- Strong analytical, technical troubleshooting, organizational, documentation, written communication, and verbal communication skills.
- Ability to work independently and collaboratively in a scientific, computational, and laboratory-support environment.
