About the position
The AI for Science team at ByteDance is dedicated to addressing challenges in natural sciences, including biology, physics, and materials, utilizing advanced computational tools such as Machine Learning, Computational Chemistry, and High-throughput Computation. Our mission is to create breakthroughs in natural science through innovative methodologies and contribute positively to the world. We are currently looking for a highly skilled Machine Learning Scientist with a strong background in computational biology to join our dynamic team. The ideal candidate will possess robust coding skills and extensive experience in machine learning methodologies. This position will involve modeling biological complexes using both data-driven and physics-driven approaches to foster innovation in our research and development initiatives.
Responsibilities
- Model biological complexes using data-driven and physics-driven approaches.
- Develop and implement machine learning methodologies for computational biology.
- Collaborate with team members to drive innovation in research and development efforts.
- Analyze and interpret complex biological data to derive meaningful insights.
Requirements
- Strong expertise in machine learning methodologies.
- Robust coding abilities in relevant programming languages.
- Extensive experience in computational biology and related fields.
- Ability to work collaboratively in a dynamic team environment.
Nice-to-haves
- Experience with computational chemistry techniques.
- Familiarity with high-throughput computation methods.
- Background in natural sciences such as biology or physics.
Benefits
- Competitive salary and performance bonuses.
- Opportunities for professional development and growth.
- Collaborative and innovative work environment.
