Johnson & Johnson · 1 day ago
Computational Protein Structures using MD, AI/ML with HDX-MS Intern
Johnson & Johnson is a leader in healthcare innovation, striving to develop treatments and find cures for complex diseases. They are seeking an intern to work on computational characterization of protein structures, utilizing AI/ML methods and HDX-MS to aid in drug discovery efforts.
Hospital & Health Care
Responsibilities
Develop Python scripts to automate the integration of public methods into the JNJ computational platform
Perform scientific computations, such as co-folding and molecular dynamics, to generate protein structure models within a Linux environment
Carry out statistical and AI/ML data analyses, and evaluate existing HDX modeling approaches for prioritizing structural candidates
Qualification
Required
Completion of Undergraduate Freshman year at an accredited University is required
Applicants must be currently enrolled undergraduate or graduate students pursuing a bachelor's, master's, PharmD, or PhD degree at an accredited college or university in Computer Science, or related fields. Continuous enrollment is required throughout the entire internship period
Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework
Fluent in written and spoken English, great interpersonal, verbal and written communication and presentation skills
Self-motivated, passionate about structure-based drug discovery and computational programming in linux and windows system
Enthusiastic, collaborative, able to build relationships and work within global matrixed and cross-functional teams
A foundational knowledge of protein and protein complex structures is essential, along with proficiency in scripting using Python, Shell, and GitHub and PyTorch framework
Experience with HDX-MS, molecular dynamics and AI/ML data analysis is considered advantageous
Company
Johnson & Johnson
At Johnson & Johnson, we believe health is everything.
Funding
Current Stage
Late StageLeadership Team
Recent News
2025-10-07
2025-10-07
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