Staff Scientific Computing Engineer - Quantum Education

Job Description

Join an exceptional team of researchers dedicated to advancing the mission of St. Jude Children's Research Hospital, that no child should die in the dawn of life.

The Office of Data Science at St. Jude is seeking a highly motivated, creative, and well-organized Staff Scientific Computing Engineer to support the Education Unit of a new Quantum Computing Hub. The Hub serves as St. Jude's institutional center for quantum research, education, and innovation across biomedical sciences and pediatric research.
As a Staff Scientific Computing Engineer in the Education Unit, you will play a central role in developing, delivering, and maintaining St. Jude's quantum computing educational ecosystem. You will design and implement training programs, onboarding materials, workshops, tutorials, documentation, and interactive learning experiences to help scientists across St. Jude understand and use quantum computing for biomedical and chemical research.
You will collaborate closely with quantum researchers, computational scientists, software engineers, and external partners to translate cutting-edge quantum technologies into accessible, impactful educational content.

Key Responsibilities

Develop and
maintain
educational materials for quantum computing, including tutorials, lecture content, hands-on exercises, coding examples, and self-paced training modules.

Provide technical training and onboarding for faculty, postdocs, Sr. Research Scientists, and trainees wanting to integrate quantum computing into their research.

Create, organize, and deliver workshops, short courses, lectures, seminars, and hackathons for the St. Jude scientific community.

Work with Hub leadership to
identify
educational needs and design curricula tailored to biomedical and chemical applications.

Build documentation, guides, and
best-practice
materials that support quantum algorithm development, quantum chemistry workflows, and hybrid quantum-classical pipelines.

Support collaborative research projects by helping teams understand quantum approaches relevant to their domain.

Assist
in developing outreach and community-building programs related to quantum education across St. Jude.

Evaluate and integrate new quantum hardware and software capabilities into the training ecosystem.

Help
maintain
code repositories, example notebooks, and reproducible demonstration workflows for multiple quantum platforms.

Contribute to grant proposals and project reports related to quantum education, training, and outreach.

Support the organization of symposia, workshops, summer schools, and visiting-lecturer programs.

Foster a collaborative, inclusive, and intellectually vibrant training environment within the Quantum Computing Hub.

Minimum Qualifications

Bachelor's degree with 5+ years of experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computational biology, computer engineering) (OR)
Master's
degree with 3+ years of relevant experience.

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

Preferred Qualifications

PhD in Physics, Computer Science, Chemistry, Engineering, or
a related
discipline.

Demonstrated
expertise
in quantum computing, quantum algorithms, or quantum machine learning.

Strong experience with quantum programming frameworks (e.g.,
Qiskit
, CUDA-Q, Pennylane).

Proficiency
in Python and experience developing clean, well-documented code.

Proficiency
with deep learning frameworks such as
PyTorch
or TensorFlow.

Experience with quantum chemistry, quantum simulation, or hybrid quantum-classical workflows.

Excellent teaching, presentation, and communication skills.

Proven ability to explain complex scientific concepts to diverse audiences.

Experience designing or teaching courses, tutorials, bootcamps, or computational workshops.

Experience developing scientific documentation or training material for research platforms.

Prior involvement in community-building or outreach programs.

Experience mentoring trainees or providing technical instruction.

Strong organizational and project management skills.

Familiarity with biomedical or chemical research applications.

Experience contributing to grant writing, large collaborative proposals, or curriculum development.

Ability to work independently and collaboratively in a fast-paced, interdisciplinary environment.

Minimum Education and/or Training:
Bachelor's degree in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, computer engineering) required.
Master's degree preferred.
About St. Jude

St. Jude Children's Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic childhood diseases. The first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children. Our
300 faculty
members work across the spectrum of basic, translational, clinical, and population science in a highly collaborative, multidisciplinary environment that includes a Nobel laureate and members of the National Academy of Sciences and the National Academy of Medicine. St. Jude is ranked on Fortune Magazine's "Best Workplaces in Health Care & Biopharma" and Glassdoor's "Best Places to Work
".
St. Jude is one of the best-funded research institutes in the US, with an annual budget of over
$2 billion

(https://www.stjude.org/about-st-jude/financials.html
).

Working at St. Jude is a remarkable and special experience in many ways.

Mission: At St. Jude, working is more than just a job;
it's
a calling. Each member of St. Jude is united by a shared purpose: finding cures and saving children. In addition to the meaningful work you will undertake, we offer a range of
perks
to enhance your experience.

Community and Belonging: St. Jude is like a warm family that welcomes you, largely because it is a Children's hospital. It provides an exceptionally warm and friendly atmosphere. St. Jude also fosters a vibrant scientist and postdoc community that supports a well-balanced life. A dynamic environment promotes connections and camaraderie among researchers from all backgrounds

The Best of Both Worlds - Industry and Academia: St. Jude provides academic freedom in research, along with industrial efficiency and resources. We have access to world-class shared resources/facilities led by expert scientists, coupled with
state-of-the-art
technology and funding, accelerating research productivity.

Benefits: St. Jude offers a world-class benefits package (https://www.stjude.org/jobs/hospital/benefits.html). Enjoy comprehensive healthcare, a competitive salary, tuition
assistance
for continued education, and
exceptional
work-life balance with ample paid time off.

Additional Perks: St. Jude offers many
perks
, including an on-site gym, an employee pharmacy, and more. To learn more about the unexpected
perks
of working at St. Jude, visit our website at https://www.stjude.org/jobs/hospital/talent-talks/10-unexpected-perks-of-working-at-st-jude.html

Professional and Career Growth: Experience specifically designed programs to enhance professional growth and career readiness, empowering postdocs for success beyond
their training. This includes access to grant-writing workshops, individual development plans, teaching and mentoring opportunities, non-research career advancement programs, a professional development allowance, and much more. More information can be found at https://www.stjude.org/jobs/hospital/talent-talks/5-questions-to-ask-when-looking-for-a-job-in-science.html

Top Employer

St. Jude was among the top 10 large employers in the US in 2024, ahead of Google,
Microsoft
, and Apple: https://www.forbes.com/lists/best-large-employers/?sh=70605b987b66

Top Employer for Women: St. Jude is also among the top 10 employers for women in the US: https://www.forbes.com/lists/best-employers-women/

St. Jude Children's Research Hospital is high school and college students' top "dream employer," according to the National Society of High School Scholars (NSHSS) 2018 Career Interest Survey. https://www.hrdive.com/news/st-judes-tops-list-of-students-dream-employers/526201/

St. Jude ranked second in the new 2026 list of dream employers: https://www.forbes.com/lists/best-employers-healthcare-professionals/

About Memphis

St. Jude
is located in
the heart of Memphis, Tennessee, a vibrant and friendly city at the historic American crossroads of music, trade, food, and culture. Living in Memphis provides several unique advantages, including:

Breathtaking Nature: Memphis offers unique natural scenery, including the Mississippi River (the largest river in the US) and Shelby Farms Park, which, at 4,500 acres, is one of the largest urban parks in the country. See https://www.memphistravel.com/sports-outdoors for more details.

Its Culture: It

is
, for
instance,
the home of Elvis Presley. See https://www.memphistravel.com/arts-culture for more details on the cultural aspects.

It's
Affordability: Memphis is one of the most affordable cities in the U

Minimum Qualifications

Bachelor's degree with 5+ years of experience in relevant area (e.g., applied mathematics, physics, chemistry, bioinformatics, computer science, data science, computational biology, computer engineering) (OR) Master's degree with 3+ years of relevant experience. 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