Manifold Bio is seeking an exceptional Machine Learning Scientist to lead research initiatives within their AI team and drive innovation in protein design methodologies. The role will involve conceiving, designing, and executing high-impact research projects that push the boundaries of AI applications in protein design.
Requirements
- PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field
- 5+ years of industry experience in machine learning research, preferably in biotechnology or pharmaceutical settings
- Expert-level proficiency in PyTorch and/or JAX with extensive experience in novel architecture development
- Deep expertise in protein structure analysis, molecular dynamics, computational biology, or structural bioinformatics
- Extensive knowledge of modern AI advances in protein analysis, design, and optimization
- Advanced understanding of deep learning architectures, particularly transformers for molecular applications, as well as generative modeling approaches (autoregressive, diffusion, flow-matching, etc.)
- Proven experience leading research teams and mentoring junior scientists
- Strong background in statistical analysis, experimental design, and rigorous scientific methodology
- Experience with distributed computing, high-performance computing, and large-scale ML system design
- Outstanding written and verbal communication skills with experience presenting to scientific and business audiences
- Demonstrated ability to translate research innovations into practical applications