onsite
AI Research Scientist II - 1910
Research Engineer
Lead advanced AI research to accelerate drug discovery, developing deep learning models on multimodal biomedical data using Python, PyTorch, and TensorFlow.
About the role
Key Responsibilities
- Design, implement, and evaluate deep learning architectures for multimodal biomedical data integration.
- Collaborate with computational biologists to translate model insights into experimental pipelines.
- Optimize model performance and scalability on large datasets using PyTorch and TensorFlow.
- Publish findings in peer‑reviewed journals and present at scientific conferences.
- Mentor junior researchers and contribute to open‑source AI tools for the biotech community.
Requirements
- Ph.D. or M.S. in Computer Science, Bioinformatics, or related field with 3+ years of AI research experience.
- Proficiency in Python and deep learning frameworks (PyTorch/TensorFlow).
- Strong background in machine learning theory and practical model deployment.
- Experience with large‑scale data processing and high‑performance computing.
- Excellent communication skills and a track record of scientific publications.
Skills
pythonmachine learningdeep learningpytorchtensorflow