CADD (Computational Aided Drug Discovery) Intern Opportunity - Summer Internship
Location: Johnson & Johnson Innovative Medicine, San Diego, CA 92121
Pay Rate: $ 30.00
Duration: 8 weeks
Looking for a cutting-edge scientific internship in an industry setting? Discover hands-on research opportunities at the forefront of innovation. Kelly® is seeking motivated candidates for CADD (Computational Aided Drug Discovery) - Summer Internship for 3rd or 4th year PhD students at Johnson & Johnson Innovative Medicine, a premier global healthcare innovator. Internship opportunity is located at San Diego, CA. Discover the next step in your career while making a meaningful impact on scientific innovation.
Why You Should Apply:
- Join a leader in healthcare innovation, transforming medicine and quality of life.
- Work side-by-side with industry-leading scientists in cutting-edge drug discovery.
- Gain hands-on experience in advanced Computer Aided Drug Discovery (CADD) and real-world research applications.
- Present your research in a culminating presentation and expand your professional network.
What You’ll Do:
- Apply computational methods to accelerate early-stage drug discovery, focusing on rapid hit expansion and molecular/chemical space exploration.
- Collaborate with a Computer Aided Drug Discovery (CADD) scientist and participate in multidisciplinary R&D teams.
- Prepare and deliver a final presentation to showcase your research findings.
Requirements:
- Currently enrolled as a 3rd or 4th year PhD student in Computational Chemistry, Molecular Modeling, Bioinformatics, Medicinal Chemistry, Structural biology, or related disciplines.
- Experience or coursework in Molecular Modeling, Computational Chemistry, or Computer-Aided Drug Discovery (CADD).
- Hands-on experience with ligand enumeration, docking, molecular dynamics, virtual screening, free energy calculations (FEP), Structure Activity Relationship (SAR), or related computational techniques.
- Previous internship or research experience in CADD strongly preferred.
- Experience in scientific programming such as Python, R, bash, etc. preferred
- Understanding of structure-based drug design and protein-ligand interactions is required
- Strong organizational, time management, and detail-oriented skills.
- Ability to work independently and collaboratively within a diverse scientific team.
- Ability to complete required Safety & Environmental Training and commit to full-time (40 hours/week) during the internship.
This is your opportunity to contribute to impactful projects and develop your expertise with world-class professionals. Let us help you grow your career and make meaningful connections for the future!
