Machine Learning Scientist
Core
Lead the development and application of next-generation AI technologies for designing DNA and RNA sequences for nucleic acid-based medicines.
Role type
Senior IC machine learning scientist (nucleic acid sequence design)
Builds
Predictive and generative models for DNA/RNA sequence optimization
Domain
Biotechnology / Pharma / Nucleic acid therapeutics
Deliverable
production ML models
Required skills
Python programming, deep learning frameworks (PyTorch), sequence-to-function model development, wet-lab collaboration, scientific publication writing
Preferred skills
Generative modeling (diffusion, autoregressive, masked language models), active learning, model interpretability, uncertainty quantification, high-throughput functional genomics data processing
Responsibilities
Build, train, and fine-tune machine learning algorithms to optimize nucleic acid-based medicines; Design candidate sequence libraries for lab-in-the-loop optimization cycles; Analyze experimental readouts (e.g., MPRA, NGS) and iteratively update designs; Collaborate cross-functionally with wet-lab scientists and project leads; Present technical findings, candidate designs, and model performance metrics to stakeholders; Stay current with advancements in biological sequence modeling and nucleic acid therapeutics
Seniority
Senior, hands-on IC