Principal QM Research Scientist / Engineer

Genesis Therapeutics is bringing together a world-class computational team to build out the industry's fastest and most accurate small molecule property predictions by combining the power of machine learning and physics-based methods. We are seeking QM experts to help build state of the art molecular force fields and machine learned potentials that will be foundational to our computational platform.

You will:

• Empower the development of state of the art molecular FFs, MLPs, and QM methods, to achieve unparalleled accuracy in predicting potency and conformational landscapes of previously un-druggable targets.
• Utilize our cluster of 1,000s of GPUs and 10,000s of CPUs to build expansive QM training and test sets that achieve comprehensive coverage of chemical space.
• Benchmark and develop QM methods and basis functions to achieve an exceptional balance of accuracy and throughput.
• Work closely with our ML researchers, computational chemists, and medicinal chemists to validate and quickly deploy improvements to our ML/MD platform for our chemists' daily use on our internal drug programs and collaborations.

You have:

• A PhD, and a proven track record of using QM to push the accuracy of computational chemistry methods, ideally in drug discovery contexts.
• A strong understanding of non-covalent interactions (especially between organic molecules and with metals), many-body effects, and Nuclear quantum effects.
• A drive to build models that achieve state of the art performance at predicting experimental observables from purely QM foundations with minimal empirical correction.
• A skilled programmer, preferably in Python, such that you can quickly implement your research ideas and analyze their performance across our benchmark suite.

What we offer:

• The opportunity to work on challenging, high impact computational chemistry research that is immediately deployed to accelerate the discovery of new medicines.
• A world-class, tight-knit team of good-hearted people across software, machine learning, computational chemistry, medicinal chemistry, and biology.
• Competitive salary and equity. Medical, dental, and vision insurance, and a 401(k) program.

Genesis Therapeutics is unifying AI and biotech to discover novel and breakthrough treatments for patients with severe and devastating conditions. Genesis was founded on groundbreaking molecular ML research and since has established itself as the industry leader in AI for small molecule drug discovery. Our team of accomplished biotech leaders and expert drug hunters joins forces with deep learning researchers and software engineers who are pioneering predictive and generative AI technologies for molecules. Our team has created the industry's most advanced molecular AI platform called GEMS (Genesis Exploration of Molecular Space), to accelerate and optimize small molecule drug discovery and to enable the discovery of novel first-in-class and best-in-class small molecule drugs for challenging and/or undruggable targets.  The company has leveraged GEMS to build an internal pipeline with multiple programs against high-value targets, including data-poor and canonically undruggable targets where GEMS is uniquely advantaged. In addition, Genesis has two AI platform collaborations across a range of therapeutic areas: Eli Lilly (signed in 2022, with a $20M upfront payment and a $670M total deal size), and Genentech (signed in 2020).We raised a $200M series B in August 2023, and have raised over $280M in funding from top technology and biotech investors, including Andreessen Horowitz, Rock Springs Capital, T. Rowe Price, Fidelity, Radical Ventures, NVentures (NVIDIA's VC arm), BlackRock, and Menlo Ventures.  Genesis is headquartered in Burlingame, CA, with a fully integrated laboratory in San Diego. We are proud to be an inclusive workplace and an Equal Opportunity Employer.   Finding the best talent is our top priority at Genesis Therapeutics. If you are interested in potential partnership on recruitment, please reach out to recruiting@genesistherapeutics.ai.