Genesis Therapeutics

Director, Computational Chemistry Methods

Remote

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

Requirements

Candidates should possess a Ph.D. in Computational or Theoretical Chemistry, Physics, or Biophysics, with a strong emphasis on computational method development, and at least 8 years of experience in computational chemistry within the biotech, pharma, or related industries. They must demonstrate a proven track record in leadership, including the ability to mentor scientists and drive cross-functional collaboration, and possess deep expertise in molecular dynamics simulations, enhanced sampling techniques, free energy calculations, and quantum chemistry methods. Proficiency in Python and experience applying machine learning to molecular modeling challenges are also required.

Responsibilities

The Director of Computational Chemistry Methods will define and execute a comprehensive computational chemistry strategy, collaborate with cross-functional teams to design and execute simulations and calculations, develop novel computational methodologies, stay abreast of emerging techniques, and communicate scientific findings to internal and external stakeholders. They will also lead and grow a high-performing team, mentor team members, and effectively communicate scientific findings, strategic approaches, and progress updates to both technical and non-technical audiences.

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.

Key Metrics

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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