Research Scientist (Multiple Positions)

$150,987 - $237,500/Yr

Bytedance - Bellevue, WA

Full-time

Bellevue, WA

Professional, Scientific, and Technical Services

About the position

The Research Scientist position at ByteDance involves developing and optimizing computational models and simulations for complex chemical computations and machine learning applications. The role requires collaboration with cross-functional teams to enhance the understanding and analysis of chemical and biochemical processes, utilizing advanced computational techniques.

Responsibilities

• Build, optimize, and maintain models, algorithms, and/or simulations for complex chemical computations, formulations research and development, and machine learning techniques.
• Assist ByteDance's Scientific Computing team in solving problems and creating simulations requiring large datasets by understanding the underlying principles of a simulation, optimization, or other calculation to set up the conditions and parameters of their study.
• Solve queries with computational approaches such as molecular dynamics, quantum chemistry, and machine learning.
• Optimize and speed up classical molecular dynamics and quantum chemistry algorithms with artificial intelligence and high-throughput computational methods.
• Develop computer models and simulations of chemical and biochemical processes and entities.
• Perform and interpret quantitative analysis of large datasets.
• Partner with cross-functional team to design, optimize, and accelerate the creation and analysis of models and predictions focusing on computational chemistry modeling, informatics, and structural biology aspects.

Requirements

• PhD degree in Chemistry, Physics, Computer Science, Engineering (any), Mathematics, Statistics, or a related field, and 1 year of research or work experience; or a Master's degree in Chemistry, Physics, Computer Science, Engineering (any), Mathematics, Statistics, or a related field, and 3 years of research or work experience.
• 1 year of research or work experience in simulating protein-drug molecule interactions using molecular dynamics simulations and applying virtual docking techniques to facilitate computer-aided drug design.
• Providing scientific support and/or advice to cross-disciplinary research projects using Cheminformatics techniques including molecular fingerprint representation, molecular surface extraction, and molecular graph convolution.
• Developing python-based rotation-translational equivariant neural networks to model molecular interactions in 3D Euclidean space.
• Processing large-scale biological and chemical databases using Python scripts to extract molecular descriptors for statistical analysis.
• Preparing technical documentation, including technical proposals, patents, or publishing conference or journal papers.