Precision BioPartners
Precision BioPartners | Computational Scientist, Biomolecular Design (TechBio)
Precision BioPartners, Cambridge, Massachusetts, United States
Develop & Implement novel methods and algorithms for small molecule drug discovery.
This is an opportunity to: Truly innovate @ the intersection of biophysics & AI for designing and predicting small molecules and their interactions. Develop and implement novel methods and algorithms for the modeling and designing of small molecules and their interactions with proteins. Have high visibility in a world-class organization with the opportunity to make meaningful contributions on a global scale. Conceive and develop cutting-edge computational strategies to address key research and healthcare needs. Develop, test, deploy, and maintain industry-quality pipelines on cloud infrastructure.
MUST have: PhD in a STEM field with expertise in developing computational approaches to solve biological problems. Biotech, TechBio, BioPharma experience OR leading author, publishing relevant research. Experience developing and implementing novel methods and algorithms for the modeling and designing small molecules and their interactions with proteins. Experience developing novel AI, structure, or sequence-based methods for small molecules. Biotech, TechBio, BioPharma-related experience OR publishing research/tools in said area.
HIGHLY favored experience: Prediction software and design work for small molecule–protein interactions(Autodock, Dock, DiffDock, Rosetta, RoseTTAFold-AllAtom) Training AI models for small molecules. Virtual screening approaches. Molecular dynamics simulations experience, conformational sampling, and dynamics-related calculations (e.g., FEP) Cheminformatics building block software such as RDKit. Understanding of modern deep learning & ML frameworks. Modern software development and cloud services, e.g., Git, Docker, AWS Batch, Step Functions, EKS, etc.
This is an opportunity to: Truly innovate @ the intersection of biophysics & AI for designing and predicting small molecules and their interactions. Develop and implement novel methods and algorithms for the modeling and designing of small molecules and their interactions with proteins. Have high visibility in a world-class organization with the opportunity to make meaningful contributions on a global scale. Conceive and develop cutting-edge computational strategies to address key research and healthcare needs. Develop, test, deploy, and maintain industry-quality pipelines on cloud infrastructure.
MUST have: PhD in a STEM field with expertise in developing computational approaches to solve biological problems. Biotech, TechBio, BioPharma experience OR leading author, publishing relevant research. Experience developing and implementing novel methods and algorithms for the modeling and designing small molecules and their interactions with proteins. Experience developing novel AI, structure, or sequence-based methods for small molecules. Biotech, TechBio, BioPharma-related experience OR publishing research/tools in said area.
HIGHLY favored experience: Prediction software and design work for small molecule–protein interactions(Autodock, Dock, DiffDock, Rosetta, RoseTTAFold-AllAtom) Training AI models for small molecules. Virtual screening approaches. Molecular dynamics simulations experience, conformational sampling, and dynamics-related calculations (e.g., FEP) Cheminformatics building block software such as RDKit. Understanding of modern deep learning & ML frameworks. Modern software development and cloud services, e.g., Git, Docker, AWS Batch, Step Functions, EKS, etc.