Computational Biology Job at ByteDance – Apply Now for Research Scientist Role
Research Scientist – Computational Biology
Seattle
Regular
R&D – Algorithm
Job ID: A134179
Responsibilities
Founded in 2012, ByteDance’s mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
Why Join Us
Creation is the core of ByteDance’s purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.
Together, we inspire creativity and enrich life – a mission we aim towards achieving every day.
To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
At ByteDance, we create together and grow together. That’s how we drive impact – for ourselves, our company, and the users we serve.
The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine
Learning, Computational Chemistry, High-throughput Computation.
Our goal is to create breakthroughs in natural science with new methodology and help the world.
Responsibilities:
- Follow the latest progress in computational science such as material and biology.
- Solve real-world problems in material and biology, 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.
Qualifications
Qualifications:
- Experience in at least one of the following fields machine learning / computational biology / computational chemistry / molecular dynamics
- Proficient in python or C/C++, and have solid programming skills.
- Able to solve problems independently, good teamwork and communication skills.
Preferred Qualifications:
- Experience in applying machine learning to biological problems.
- In-depth domain knowledge of computational biology, e.g. protein structure prediction, protein-ligand interaction, molecular property prediction, molecule generation, etc.