Sr/Pr. Scientist, ML/AI

Responsibilities:

1. Design,develop, and validate ML/AI models for a range of applications relevant to mRNA vaccines and therapeutics;
2. Apply and adapt modern architectures (transformers, GNNs, diffusion models, foundation models) to biological and chemical data;
3. Build and maintain end-to-end ML pipelines, from data processing through model training, evaluation, and production deployment;
4. Establish MLOps best practices: experiment tracking, version control, model monitoring, and reproducibility;
5. Partner with biology, chemistry, and clinical teams to translate scientific questions into well-defined ML problems;
6. Communicate results clearly to both technical and non-technical audiences;
7. Mentor junior ML/AI scientists; also help cross-train computational scientists from other fields with an interest in learning ML/AI.

Requirements:

Education & Experience

1. Ph.D. in Machine Learning, Computer Science, Computational Biology, Bioinformatics, Cheminformatics, or related field;
2. Senior Scientist: 2–4 years of post-degree experience in applied ML/AI, including experience with biological and/or chemical data;
3. Principal Scientist: 4-6 years of post-degree experience with a track record of leading ML/AI projects end-to-end and mentoring technical staff.

Technical Skills

1. Deep expertise in PyTorch (or equivalent) and modern deep learning methods;
2. Experience with and deep understanding of biological or chemical data modalities (genomics, proteomics, small molecules, imaging, or similar);
3. Familiarity with biological foundation models is strongly preferred, including protein structure and RNA/DNA sequence models;
4. Production-level Python; proficiency with relevant scientific libraries (scikit-learn, RDKit, etc.);
5. Experience with ML pipeline tools, cloud or HPC environments, and model deployment;
6. Solid grounding in statistics and rigorous experimental design.

Other

1. Strong written and verbal communication skills in English; Mandarin proficiency is an advantage.
2. Ability to work independently and drive projects in a fast-moving environment.