Postdoc in Computational Drug Design & Docking

The Rockefeller University; New York (NY); Presencial; USD 64.890 - 79.310; Jornada completa

Descripción de la vacante

The Rockefeller University in New York City is seeking enthusiastic postdocs to join the Lyu laboratory specializing in computer-aided drug design. Candidates should hold a PhD in a relevant field and demonstrate proficiency in molecular docking and programming skills, particularly in Python. Responsibilities include driving research projects, developing methods, and mentoring trainees. The position provides a competitive salary, and the lab emphasizes collaboration and innovation in drug discovery.

Formación

• Demonstrated research experience in computer-aided drug design.
• Strong programming skills in Python; familiarity with HPC/Linux.
• Ability to communicate scientific findings effectively.

Responsabilidades

• Drive independent and collaborative research projects.
• Develop methods and approaches for research questions.
• Lead preparation of manuscripts for peer-reviewed journals.
• Present findings at lab meetings and scientific conferences.
• Contribute to grant writing and funding efforts.
• Mentor trainees as appropriate.

Conocimientos

molecular docking

AlphaFold-like structural prediction

structure-based virtual screening

free energy calculations

machine learning methods

programming skills (Python)

shell scripting and HPC/Linux

Educación

PhD in computational chemistry or related field

Herramientas

PyTorch

TensorFlow

RDKit

OpenEye

Descripción del empleo

The Rockefeller University in New York City is seeking enthusiastic postdocs to join the Lyu laboratory specializing in computer-aided drug design. Candidates should hold a PhD in a relevant field and demonstrate proficiency in molecular docking and programming skills, particularly in Python. Responsibilities include driving research projects, developing methods, and mentoring trainees. The position provides a competitive salary, and the lab emphasizes collaboration and innovation in drug discovery.