Job Description
Join an excellent team of researchers dedicated to coming closer to the mission of St. Jude Children's Research Hospital, that no child will die at the dawn of life. The Quantum AI for Bio (QAI4Bio) Lab led by Dr. Christoph Gorgulla in the Center of Excellence for Data-Driven Discovery in the Structural Biology Department, seeks a skilled and highly motivated student intern in deep learning research / engineering for problems in the life sciences (chemistry, biology, drug discovery). Our research group is focused on developing state-of-the-art computational methods for ligand / drug discovery, using machine learning, high-performance / cloud computing, and quantum chemistry and quantum computing. Our group also includes a wet lab dedicated to experimentally verifying the computationally predicted results in real-world drug discovery projects.
We are seeking a highly motivated student intern with deep expertise in machine learning and deep learning. You will join an interdisciplinary team to push the boundaries of what’s possible at the intersection of artificial intelligence and molecular modeling.
More information about our lab can be found here : -lab.html
Key learning objectives :
- Design, implement, and optimize novel deep learning architectures for applications in drug discovery, biology, or quantum chemistry.
- Train and rigorously evaluate the performance of deep learning models.
- Integrate and deploy models into our computational discovery pipelines.
- Collaborate with an interdisciplinary team of computational chemists, structural biologists, and experimental scientists.
- Contribute to high-impact scientific publications and present research findings.
Study levels this internship would complement :
Actively enrolled as a student in a BS, MS, or PhD program at an accredited university.Proven hands-on experience in deep learning through projects, research, or previous internships.Proficiency in at least one major deep learning framework, such as PyTorch or TensorFlow.Experience with various deep learning architectures (e.g., GNNs, CNNs, Transformers, Diffusion Models).Excellent programming skills in Python.A degree (BS, MS, or PhD) in Computer Science, Machine Learning, Mathematics, Physics, Chemistry, Engineering, or a related discipline.Familiarity with molecular modeling software (e.g., RDKit, OpenBabel) and / or structural biology concepts is desirable, but not required.Experience with cloud or HPC environments and GPU-based training pipelinesThis is an opportunity to develop independent research skillsAbout St. Jude
St. Jude Children’s Research Hospital is a world-class research institution dedicated to pediatric cancer and other catastrophic diseases of childhood. The first and only National Cancer Institute (NCI)-designated Comprehensive Cancer Center devoted solely to children. Our 300 faculty 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 Science 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 per year ( -st- jude / financials.html ).
Being at St. Jude is a remarkable and special experience in many ways.
Mission : Being at St. Jude is a calling. Each member of St. Jude is united by a shared purpose : finding cures and saving children. In addition to the meaningful projects you will be part of, we offer a range of perks to enhance your experience.Community and Belonging : St. Jude is like a warm family that welcomes you, to a large part 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 backgroundsThe Best of Both Worlds - Industry and Academia : St. Jude provides academic freedom in research and 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.Additional Perks : St. Jude offers many special perks, such as an on-site gym, an employee pharmacy, and many others. To learn more about the unexpected perks of being at St. Jude, visit our website at -talks / 10-unexpected-perks-of-working-at-st-jude.htmlAbout Memphis and St. Jude
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 provides unique nature and scenery, such as the Mississippi (the largest river in the US) or Shelby Farms Park, with which 4,500 acres is one of the largest urban parks in the country. See -outdoors for more details.Its Culture : It is for instance the home of Elvis Presley. See -culture for more details on the cultural aspects.It’s Affordability : Memphis is one of the most affordable cities in the US, meaning the same income will bring you farther than in other places in the US (for more details, see -affordable-cities-live / ).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. -judes-tops-list-of-students-dream-employers / 526201 /
Position Details
This is a paid internship.Duration : Flexible, 3-12 months, depending on the project and the candidate's availability.Location : Memphis, TN. We highly value in-person collaboration, but hybrid or remote arrangements can be considered for exceptional candidates.Start date : FlexibleApplication
Please submit your application here on LinkedIn, as well as per email to application@qai4bio -lab.org
In your application email, please mention your preferred start date and preferred duration, and whether you will be enrolled in a university during the entire duration of the internship (required). Please attach the following documents :
A cover letterYour CVThank you for your interest in joining us!