
11 - 50 employees
Founded 2016
🏥 Healthcare
💼 Consulting
📣 Marketing
Healthcare • Consulting • Marketing
Gasthalter & Co. LP is a firm dedicated to supporting St. Jude Children's Research Hospital, which is at the forefront of research and treatment for childhood cancer and other life-threatening diseases. The organization aims to ensure that every child, regardless of their location, has access to the best possible medical care and innovative therapies. Through extensive fundraising, research, and community involvement, Gasthalter & Co. LP plays a vital role in advancing pediatric healthcare and improving life outcomes for children in need.
🔥 0 minutes ago
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11 - 50 employees
Founded 2016
🏥 Healthcare
💼 Consulting
📣 Marketing
Healthcare • Consulting • Marketing
Gasthalter & Co. LP is a firm dedicated to supporting St. Jude Children's Research Hospital, which is at the forefront of research and treatment for childhood cancer and other life-threatening diseases. The organization aims to ensure that every child, regardless of their location, has access to the best possible medical care and innovative therapies. Through extensive fundraising, research, and community involvement, Gasthalter & Co. LP plays a vital role in advancing pediatric healthcare and improving life outcomes for children in need.
• Enhance rule-based logic for real-time job tagging based on job metadata and runtime characteristics • Develop and implement methods for automated extraction of storage locations from job metadata • Introduce and evaluate supervised and unsupervised classification models to improve workload categorization • Collaborate with team members to integrate classification visualizations into existing dashboard platforms • Document processes, findings, and improvements for internal knowledge sharing and future development
• Currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Engineering, or a related field • Familiarity with Python and data processing libraries such as Pandas and NumPy • Understanding of basic machine learning concepts and classification techniques • Experience working with structured and unstructured data • Strong analytical and problem-solving skills • Ability to work independently and communicate effectively in a team setting • Experience with job schedulers such as LSF, Slurm, or PBS and HPC environments preferred • Knowledge of metadata parsing and log analysis preferred • Exposure to data visualization tools such as Plotly, Dash, or Grafana preferred • Familiarity with dashboard integration and web-based UI frameworks preferred • Prior experience with rule-based systems or workflow automation preferred
• Hands-on experience in a high-performance computing environment • Opportunity to contribute to impactful infrastructure and analytics tools • Mentorship from experienced professionals in HPC and data science • Flexible schedule to accommodate academic commitments
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