CADD Summer Intern

At Johnson & Johnson, we believe health is everything.

Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:
Career Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

All Job Posting Locations:
US064 CA San Diego - 3210 Merryfield Row

Job Description:

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Computer-Aided Drug Design Group in La Jolla, CA, is seeking a current PhD student for a 10–12 week summer research internship.

In this role, the intern will use computational methods to investigate novel strategies for modeling ternary complex formation, with a focus on understanding targeted protein degradation for disease treatment.

The intern will work alongside a computational chemistry scientist and assist in experimental design, execution, and analysis.

 This work will be performed in close collaboration with medicinal chemistry coworkers and the intern will be encouraged to discuss ideas and share results with the team.

The intern will be a member of a supportive and respectful environment where they will be able to learn and develop new skills while making a difference.

QUALIFICATIONS


* Currently enrolled in a PharmD or PhD program in computational chemistry or a related discipline.


* Experience with molecular dynamics simulations is required, and familiarity with advanced sampling methods is preferred (e.g., Desmond/Schrödinger, Amber, NAMD).


* Familiarity with targeted protein degradation (TPD) is preferred.


* Experience with commercial computational chemistry packages (e.g., Schrödinger, MOE, OpenEye, knime workflows) and their applications in drug discovery (e.g., protein-protein docking, virtual screening, AI/ML, cheminformatics) is preferred.


* Proficiency in python or any other scripting language is preferred


* Candidates should be self-motivated, possess strong interpersonal and analytical skills, and be eager to share fresh perspectives and tackle new challenges.

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.  Studen...