Principal Computational Engineer

Job Responsibilities:

• Provide long-term, sustainable, and scalable technical vision and strategy for ongoing IS efforts to support basic science and translational research.
• Oversee definition and execution of IS technology strategy in line with research needs.
• Provide inputs for effective planning, analysis, and implementation of technology solutions to support basic science research.
• Lead feasibility studies, time and cost estimates, and development and implementation of new or revised computational applications and systems.
• Oversee implementation of security, and performance monitoring of computational software applications.
• Provide project management guidance to teams for delivery of projects and tasks within timelines and budget, and in accordance with design specifications.
• Guide technical management of computational and data processing applications and systems including software installation, configuration, testing, and file management.
• Conduct continuous research and assessment of new resources and technologies available for application development in RIS and deployment.
• Engage with the Institutional Review Board, Compliance, Internal Audit, Legal, and other regulatory entities to ensure proper protection of patient data.
• Develop team members through formal training and mentoring activities and ensure cross-training of mid and senior members across areas of expertise/ key skill sets.
• Perform other duties as assigned to meet the goals and objectives of the department and institution.
• Maintains regular and predictable attendance.
• Consistently meet job expectations, adhere to policies, and deliver quality work while applying. St. Jude values and principles. Managers evaluate employee performance throughout the year—specifically through the spring and fall Check-In milestones and the Annual Performance Review. All employees are encouraged to actively participate in these performance management processes.

Minimum Education and/or Training:

• Master's degree in computer science, data science, information science, mathematics, or a related field of study required.
• PHD preferred.

Minimum Experience:

• Minimum Experience: 8+ years of progressive experience developing, optimizing, or maintaining scientific or computational applications.
• Demonstrated history of successfully delivering complex projects.
• Demonstrated contribution and impact on the domain of specialty.
• Proven success collaborating across disciplines.
• Demonstrated ability to lead projects and guide team members.
• Recognized expertise with algorithms, pipelines, or systems development.

Desired/Highly Preferred Experience:

• Demonstrated history of supporting Research Computing Environments.
• Experience with Bioinformatics, Bioimage, or related Life Science pieplines.
• Experience with HPC schedulers like Slurm, LSF, and Kubernetes.

Special Skills, Knowledge and Abilities:

• Shows strong skills in thinking critically with a systemic view.
• Shows expertise in taking a structured approach to analyze and resolve issues.
• Able to distinguish between different sets of issues, set priorities, and make decisions.
• Can present/facilitate independently in senior-level meetings. Presents information as a structured story and anticipates questions well.
• Addresses difficult questions and challenges effectively.
• Able to effectively influence others using facts and logic.
• Keeps teams energized and focused on high-quality results.
• Thinks long-term in building and executing metrics-driven plans and stretch goals for St. Jude.
• Builds structures and processes with clear lines of authority and accountability so teams know what they are empowered and accountable to do.
• Is an organizational expert in parallel programming and high-performance computing using OpenMP, MPI, and Pthreads.
• Highly skilled in UNIX/Linux scripting languages and other high-level programming languages.
• Leverages expertise in computational algorithms and systems, HPC applications and data processing, design principles, and computational scalability and reliability, to analyze complex research needs and design/implement/adopt new algorithms/processes.
• Provides inputs to overall strategy in identification of critical computational tools, hardware, and resources for business/research teams.
• Proactively engages with customers to seek feedback and suggestions to deliver high quality service within own area.
• Executes new approaches to improve customer systems and processes.
• Independently seeks out and addresses complex customer needs.
• Thinks holistically and plans for interdependencies and impact of work and processes with other teams within and outside of IT.
• Always focused on quality, costs, sustainability from a complete ownership mindset and approach.
• Demonstrates a strong collaborative style with emotional empathy and is able to work/ negotiate through challenging situation

Compensation

Explore our exceptional benefits!

St. Jude is an Equal Opportunity Employer

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