HPC Systems Analyst

The Jackson Laboratory fo Genomic Medicine
Job Location
Ten Discovery Drive
Farmington, CT 06030
Job Description

The Jackson Laboratory for Genomic Medicine, based in Farmington, CT is seeking a HPC Systems Analyst to plan, design and launch efficient systems in support of scientific research functions and processes. This includes gathering and analyzing data and documenting business processes and requirements. This individual will apply proven communication, analytical, and problem-solving skills to help maximize the benefit of HPC IT system investments.


  • Based on the scientific needs of the community, identify and recommend innovative solutions, and integrated proposals for server, storage, and network systems, including hardware and software acquisition, installation and administration.
  • Install and update scientific and research applications in the HPC environment, document system changes, write and maintain documentation for end users.
  • Partner with scientists to ensure that applications and HPC services are current, appropriate and sufficient to serve their needs.
  • Investigate application issues, document findings: communicate with scientists to answer questions, troubleshoot problems and develop appropriate computational strategies to process and analyze their data.
  • Benchmark application, pipelines and workflow performance, and determine areas for improved efficiencies.
  • Stay current with new trends and emerging information technologies and informatics tools, advocate for and lead the adoption of these technologies at JAX.
  • Provide guidance, support, training and advice in HPC systems to JAX scientists.





  • The ideal candidate will have a PhD in life/natural sciences with 3 years’ experience in genomic data processing and analysis, or an equivalent combination of proven education/training/knowledge/experience at a research-intensive organization.
  • Genomics background; hands-on experience with a broad spectrum of genomics and bioinformatics applications and next-generation sequence data collection, processing, and analysis.
  • Expertise with Unix/Linux systems, shell scripting, C/C++ programming, Python/Perl and other relevant tools.
  • Strong technical knowledge of research computing systems architecture, hardware components, and software stack.
  • Experience with building, installing, configuring, and supporting a wide range of commercial, open-source, and in-house developed scientific applications such as Matlab, R, SAS, STATA, MySQL.
  • Proficient in large datasets analysis in a related scientific discipline such as biology, biomedical informatics, Pharma, or clinical research.
  • Familiar with Cloud Computing and storage infrastructure (e.g. AWS, EC2).
  • Excellent oral and written communication and presentation skills.
  • Able to work independently, and as part of a team.
  • Strong analytical and problem-solving skills.
  • Develop and maintain effective working relationships with scientists at all levels.                                                                                             
How to Apply

Please forward a copy of your CV to dawn.scott@jax.org.

About Our Organization

The Jackson Laboratory (www.jax.org) is an independent, nonprofit biomedical research institution and National Cancer Institute-designated Cancer Center with more than 1,700 employees. Headquartered in Bar Harbor, Maine, it has a facility in Sacramento, Calif., and a new genomic medicine institute in Farmington, Conn. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, the Laboratory applies its eight decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease.  It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and empowers the global biomedical community by providing critical data, tools and services. 

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