The World’s Most Dedicated Never Give Up

There’s a reason St. Jude Children’s Research Hospital is recognized as a great place to work. Because at our world-class pediatric research hospital, every one of our professionals shares our commitment to make a difference in the lives of the children we serve. There’s a unique bond when you’re part of a team that gives their all to advance the treatments and cures of pediatric catastrophic diseases. The result is a collaborative, positive environment where everyone, regardless of their role, receives the resources, support and encouragement to advance and grow their careers and be the force behind the cures.

Job Responsibilities:

• Assists Vice President of Research Informatics in (i) assessing institution’s needs and (ii) developing strategic architecture and expansion roadmaps for AI infrastructure and AI-enabled services.
• Architect, design, develop, and implement scalable and high-performance computing infrastructure and application stacks for AI/Machine Learning (ML) and Data Mining.
• Leads and works with scientists, business stakeholders, analysts, and IS professionals in the design, development, and implementation of AI solutions and services, including technology proof-of-concepts, pilots, and the adoption lifecycle.
• Be responsible for building new and innovative solutions leveraging data science and AI/ML skills and technologies to solve non-trivial problems.
• Develops AI demonstration use-cases and workshop materials and provides workshops and training classes.
• Evaluate commercial and open-source approaches in AI/ML, Data Mining, and Analytics to solve business problems.
• Identifies, develops, and implements standards and operating procedures for solutions and systems consistent with best practices.
• Documents current and future state architecture roadmaps and reference architectures.
• Provides clear written and spoken communications to customers, teams, and vendors.
• Keeps abreast of new and emerging technologies and stays adaptable to their potential applicability.
• Identifies and develops disaster recovery and business continuity plans regarding AI computing infrastructure in collaboration with other IS teams and vendors.
• Performs other duties as assigned or directed to meet the goals and objectives of the department and institution.

Minimum Education:

• Master’s degree in computer science, computer engineering, data science, information technology or related field required.
• PhD degree in data science, computer science, computer engineering, information technology or related field preferred.

Minimum Experience:

• 5 years in designing high level architectures and developing solutions for large scale AI/ML systems and/or building solutions for a product on AI/ML features and capabilities.
• Strong background in industry use cases built on deep learning and machine learning (unsupervised and supervised techniques) is a must.
• Deep learning frameworks such as TensorFlow, Keras, PyTorch, Time series analysis, anomaly detection, forecasting, predictive modeling, graph- based neural networks, Bayesian statistics, and text analytics are a must.

Special Skills, Knowledge and Abilities:

• Advanced knowledge and strong understanding of predictive analytics, AI/ML, and text analytics with natural language processing (NLP).
• Advanced knowledge and skills in deep learning architectures like RNN, CNN, LSTM and Transformers including generative AI and LLMs.
• Strong command of Python language for AI/ML; Graph databases, analytics, and graph neural networks; data structures and ability to develop efficient solutions.
• Advanced knowledge and skills in high-performance AI computing platforms running with Kubernetes and Machine Learning Operations (MLOps) for streamlining the process of taking AI/ML models to production, and then maintaining and monitoring them.
• Advanced knowledge and skills in using Linux and shell scripting in a high-performance AI computing environment is required.
• Excellent verbal and written communication skills; the ability to share technical results and recommendations with both technical and non-technical audiences.
• Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
• Strategic systems capacity planning, updates, and migration of hardware and software to enhance computing capabilities and performance.
• Strong interpersonal skills with the ability to communicate technical issues and ideas to nontechnical personnel.

St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay.  Learn more about our history and commitment.

Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success.  With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive.  View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future.

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