Genesis Therapeutics

Director, Computational Chemistry Methods

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, PharmaceuticalsIndustries

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.

Skills

Computational Chemistry
Molecular Dynamics
Enhanced Sampling
Free Energy Calculations
Quantum Chemistry
Algorithm Design
Python
Machine Learning
AI-driven Virtual Screening
Deep Learning
Software: AMBER
Software: GROMACS
Software: OpenMM
Software: Schrödinger

Genesis Therapeutics

AI-driven drug discovery for pharmaceuticals

About Genesis Therapeutics

Genesis Therapeutics accelerates the development of new medicines by using artificial intelligence in drug discovery. The company combines 3D spatial graph modeling and molecular simulation to identify potential drug candidates and explore new chemical spaces. Unlike its competitors, Genesis Therapeutics focuses on strategic partnerships with other biotech and pharmaceutical companies, generating revenue through upfront payments and future earnings based on drug success. The goal is to transform the drug discovery process and bring new therapies to market.

Burlingame, CaliforniaHeadquarters
2019Year Founded
$272.5MTotal Funding
SERIES_BCompany Stage
AI & Machine Learning, BiotechnologyIndustries
51-200Employees

Benefits

Competitive salary
Equity
Medical, dental, & vision insurance
401(k) program

Risks

Competition from AI-driven companies like Insilico Medicine and Exscientia is increasing.
Over-reliance on partnerships could lead to financial instability if drugs aren't successful.
Rapid AI advancements may render current models like GEMS obsolete without updates.

Differentiation

Genesis Therapeutics uses AI to accelerate drug discovery with 3D spatial graph modeling.
The GEMS platform integrates deep learning, molecular simulations, and generative AI for drug design.
Strategic partnerships with Eli Lilly and Gilead highlight Genesis' industry collaboration strength.

Upsides

Partnership with NVIDIA enhances GEMS platform for targeting undruggable diseases.
$224 million equity investment boosts research and development capabilities.
Recognition as a 'Fierce 15' company underscores AI's role in breakthrough therapeutics.

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