Job Description
We are seeking a visionary AI Research Scientist to lead our computational biology division. At Nexus Bio-Systems, we are on a mission to revolutionize drug discovery and molecular modeling through the power of advanced artificial intelligence.
As a pivotal member of our elite R&D team, you will design and implement cutting-edge neural networks to interpret complex biological data. You will not only build scalable models but also bridge the gap between theoretical AI research and practical application in healthcare. Join us in a high-performance environment where innovation meets impact.
Responsibilities
- Design, train, and optimize deep learning architectures for biological sequence analysis and protein folding prediction.
- Collaborate closely with cross-functional teams of bioinformaticians, software engineers, and medical researchers to translate data into actionable insights.
- Conduct rigorous statistical analysis, validation, and benchmarking of research models to ensure accuracy and reliability.
- Author and publish high-impact research papers in top-tier scientific journals and conferences (e.g., NeurIPS, ICML, Nature).
- Mentor junior researchers and interns, fostering a culture of continuous learning and scientific curiosity.
- Stay abreast of the latest advancements in AI, machine learning, and genomics to integrate novel methodologies into our pipeline.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Computational Biology, Physics, Mathematics, or a related STEM field.
- Minimum of 3-5 years of experience in machine learning, deep learning, or artificial intelligence research.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Strong command of linear algebra, calculus, probability theory, and statistical modeling.
- A proven track record of academic publication and peer-reviewed research.
- Excellent verbal and written communication skills for technical reporting and stakeholder presentations.