Director, Computational Chemistry Methods

Position Overview

• Location Type: [Not Specified]
• Employment Type: Full-time
• Salary: [Not Specified]

Genesis Therapeutics is seeking a Director of Computational Chemistry Methods to lead their methods development team and shape the company's computational strategy. This role will drive the development and application of cutting-edge computational chemistry methods to design transformative therapeutics, integrating AI with physics-based techniques.

Requirements

• Ph.D. in Computational or Theoretical Chemistry, Physics, or Biophysics, or a related field with a robust emphasis on computational method development.
• 8+ years of experience in computational chemistry within biotech, pharma, or related industries.
• Proven track record in leadership, with the ability to mentor scientists and drive cross-functional collaboration.
• Deep expertise in molecular dynamics simulations, enhanced sampling techniques, free energy calculations, and quantum chemistry methods.
• Strong background in method development, including algorithm design and implementation tailored for drug discovery.
• Proficiency with computational chemistry software (e.g., AMBER, GROMACS, OpenMM, Schrödinger, etc.).
• Strong programming skills in Python.
• Experience applying machine learning to molecular modeling challenges, such as generative models, deep learning for structure-based design, or AI-driven virtual screening.
• Exceptional problem-solving, analytical, and communication skills.
• Ability to thrive in a fast-paced, multidisciplinary environment.

Responsibilities

• Define and execute a comprehensive computational chemistry strategy that leverages both physics-based and AI-driven approaches to accelerate drug discovery.
• Collaborate with cross-functional teams—including CADD scientists, medicinal chemists, biologists, and ML researchers.
• Design and execute state-of-the-art molecular dynamics simulations, enhanced sampling techniques, quantum chemistry calculations, and free energy calculations to improve ligand binding predictions and optimize molecular properties such as ADMET.
• Develop novel computational methodologies integrating physics and AI/ML to address complex challenges in drug discovery.
• Stay abreast of emerging computational techniques and incorporate innovative methods into our research workflows to maintain a competitive edge.
• Work closely with internal stakeholders to generate actionable insights that drive lead optimization and structure-based drug design.
• Effectively communicate scientific findings, strategic approaches, and progress updates to both technical and non-technical audiences, including leadership teams and external partners.
• Lead and grow a high-performing team of computational scientists by fostering a collaborative, innovative, and results-oriented work environment.
• Mentor team members and encourage professional development, ensuring continuous improvement and thought leadership within the field.

Application Instructions

• [Not Specified]

Company Information

• Company: Genesis Therapeutics
• Description: Genesis Therapeutics is redefining drug discovery by integrating advanced AI with physics-based computational techniques.