remote
Senior Research Engineer, Machine Learning - Deep Genomics
ML Engineer
Senior Research Engineer driving AI-driven drug discovery, blending cutting‑edge ML research with production‑ready systems to unlock RNA biology insights.
About the role
Key Responsibilities
- Design, prototype, and deploy scalable machine learning models that decode RNA‑biological patterns for drug target identification.
- Collaborate with computational biologists and software engineers to translate experimental findings into production‑grade pipelines.
- Implement rigorous statistical analyses and validate model performance against biological benchmarks.
- Optimize model training workflows on cloud and HPC resources, ensuring reproducibility and efficiency.
- Mentor junior team members and contribute to open‑source tool development.
Requirements
- PhD or equivalent experience in computational biology, bioinformatics, or machine learning.
- Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), and statistical libraries.
- Strong background in RNA biology, genomics, or related life‑science domains.
- Experience deploying ML models at scale in cloud or HPC environments.
- Excellent communication skills and a collaborative mindset.
Skills
machine learningpythondeep learning