Scientific Computing Engineer in Structural Biology

The Staff Scientific Computing Engineer advances data analysis projects by developing hardware/software solutions and providing technical leadership for critical scientific computing analysis platforms.

• Department system administrator responsible for managing and maintaining Linux based workstations and servers within the Department including Core Centers.
• Daily operational department support including configuring, troubleshooting, and software installation/updates of Linux machines both physical and virtual.
• Provide technical guidance to users including strategic recommendations for effective deployment of Linux workstations and related hardware.
• Data retrieval from remote and local sites and transferring the data to the proper storage spaces including data between Structural Biology Core Centers and High Performance Computing.
• Liaison between end user and support teams outside of the department including Information Services, Information Security, Laboratory Information Technology, and High Performance Research Computing.
• Work independently to advance data analysis projects in collaboration with the team and other researchers.
• Develop hardware and/or software solutions that include guidelines and best practices to ensure data analysis workflow robustness, functionality, usability, reliability, and availability.
• Provide technical leadership in design, technical implementation, and operational health of critical scientific computing analysis platforms.
• Serve as a technology advocate and thought leader within the St. Jude Data Science community, inspiring productive change through practical scientific computing solutions, guiding implementation strategy, and providing strategic recommendations.
• Engage with leadership and other internal/external technical experts driving data analysis initiatives strategically within St. Jude.
• Perform other duties as assigned to meet the goals and objectives of the department and institution.
• Maintains regular and predictable attendance.

• Bachelor's degree in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, computer engineering) required.
• Master's degree preferred.

• Minimum Requirement:
  Bachelor's degree with 5+ years of relevant experience in applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computational biology, computer engineering, or relevant area.
• Experience Exception:
  Master's degree with 3+ years of relevant experience.
• Motivated self-starter with an open mind to continuous improvement efforts and long‑term, scalable solutions.
• Critical thinker with proven ability to manage multiple priorities concurrently and successfully.
• Demonstrated knowledge of multiple computing languages (C/C++, Python, HTML, Jinja, Java script, CSS, etc.) through proven application to resolve technical problems.
• Experienced and well versed with Red Hat Enterprise Linux is preferred.
• Proven ability to effectively communicate technically challenging and complex issues to non-technical team members.
• Significant experience (including code repositories or published works) in independent scientific analyses and/or image data management.
• Demonstrated experience in one or more applied computational fields: application of modern machine learning methodology, algorithms, computational modeling, finite element analysis, computational geometry, fluid mechanics, scientific visualization, HPC and distributed computing.
• Substantial experience in programming (i.e., fluent in two or more common computer languages).
• Demonstrated experience in the analysis and management of scientific data, including one or more of the following: scientific data visualization, scientific computer code optimization, development of machine learning solutions, deep learning, numerical optimization, application of advanced statistical methods, and development of scientific software.
• Experience working with large data volumes.
• Proven performance in earlier role/comparable role.

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