The Data Services Team within Research Information Technologies is on a mission is to enable, facilitate, and accelerate research and discovery at the Jackson Laboratory (JAX). Reaching this goal by working both internally and externally with other research institutions, JAX is leading this mission of data democratization, open science, and best practices of data governance, provenance, software development, high performance computing, cloud computing. The Data Services Team supports this goal by applying best-in-class approaches for data acquisition (including metadata capture), linked-data infrastructuresupporting a future of infrastructure flexibility, and scalability.
The Systems Analyst’s role is 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 Research 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 JAX compute environment, document system changes, write and maintain documentation for end users.
- 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.
- Create system design proposals: Stay current with new trends and emerging information technologies and informatics tools, advocate for and lead the adoption of these technologies at JAX.
- PhD in life/natural sciences with 3 years’ experience in relevant area of data processing and analysis or Mastersdegree in life/natural sciences with 5 years experience in relevant area of data processing and analysis.
- Life sciences research background; hands-on experience with a broad spectrum of biological data collection, processing, and analysis (for example: genomics, bioinformatics, next-generation sequencing, microscopy, imaging).
- Advanced interpersonal skills sufficient for developing complex, dynamic relationship with a diverse variety of individuals representing a broad cross section of cultures, disciplines and levels of sophistication.
- Ability to develop, recommend and execute solutions to complex problems often under time constraints.
- Ability to handle multiple tasks/projects at the same time and complete projects successfully and on time.
- Work closely with scientists to ensure that applications and Research IT services are current, appropriate and sufficient to serve their needs.
- A positive attitude and the ability to perform successfully in a fast-paced environment.
- Expertise with Unix/Linux systems, shell scripting, C/C++ programming, Python/Perl and other relevant tools.
- 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 relationship with scientists at all levels.