Lead AI Research Scientist
4 weeks ago
Deep Genomics stands at the forefront of innovation, harnessing the power of artificial intelligence to transform the landscape of pharmaceutical development. Our team, comprised of specialists in machine learning, bioinformatics, and drug development, is dedicated to advancing the field of medicine. With a presence in major tech hubs, we are committed to expediting the drug discovery process through AI technologies.
Role Summary: Lead AI Research ScientistWe invite you to join Deep Genomics as a Lead AI Research Scientist, where you will play a pivotal role in crafting advanced AI algorithms tailored for drug discovery. Collaborate with esteemed researchers and industry experts to enhance our AI framework and address intricate challenges within RNA biology.
Key Responsibilities:- Develop and deploy innovative machine learning algorithms for predictive analytics and sequence evaluation.
- Engage with interdisciplinary teams to tackle significant issues in RNA biology and pharmaceutical innovation.
- Keep abreast of cutting-edge advancements in machine learning and contribute to the evolution of the discipline.
- Doctorate in Computer Science, Machine Learning, or a related discipline with a robust publication history.
- Proficient in machine learning, deep learning, and neural network methodologies.
- Strong command of programming languages such as Python, along with frameworks like PyTorch, TensorFlow, and Scikit-learn.
- Solid foundation in mathematics and statistics.
- Exceptional communication and teamwork abilities.
- Background in bioinformatics or pharmaceutical research.
- Understanding of RNA biology or similar fields.
- Experience with cloud computing solutions and distributed computing systems.
- An opportunity to revolutionize drug discovery through AI.
- Attractive salary and equity options.
- Comprehensive benefits and flexibility for remote work.
- Opportunities for professional development within a leading team.
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