Advanced AI Researcher in Drug Development
18 hours ago
We are seeking a highly skilled AI researcher to join our team at Roche, focusing on drug development. In this role, you will collaborate with computational biologists and chemists to develop AI algorithms, build models, and implement solutions for drug research and development.
Key Responsibilities- You will contribute significantly to our AI strategy and the AI pillar of the team, increasing the success rate of drug portfolio projects and productivity in R&D.
- You will identify, develop, and implement appropriate AI solutions to generate scientific insights, automate processes, and complement traditional approaches by close collaboration within the team.
- You will explore and apply generative AI approaches, including large language models, to aid drug R&D.
- You will communicate with data scientists, AI researchers, and informatics experts across the Roche organization to exchange learnings and collaborate on projects.
- You will have opportunities to lead AI initiatives or projects across CICoR or Roche globally.
- A degree in machine learning, computer science, mathematics, physics, biology, chemistry, or a relevant discipline.
- 3+ years of industry experience, preferred in pharmaceutical (MNC/biotech), internet, or AI startup companies.
- PASSION FOR APPLYING AI IN DIFFERENT FIELDS OF DRUG R&D: cheminformatics, bioinformatics, biomedical, lab automation, as well as learning relevant scientific domain knowledge.
- A proven track record of successfully developing ML/DL models to solve scientific problems and leading projects to implement impactful AI solutions.
- Strong expertise and hands-on experience in applying state-of-the-art deep learning model development, including graph neural networks, transformers, generative networks, and convolutional neural networks.
- Excellent analytical and mathematical capabilities, being able to identify key questions and come up with innovative AI solutions.
- Excellent programming skills in Python, as well as other commonly used machine learning and deep learning frameworks.
- Experience in training and optimizing ML/DL models, including hyper-parameter tuning, regularization techniques, and model evaluation methods.
The salary range for this position is approximately $120,000 - $180,000 per year, depending on qualifications and experience. You will have access to cutting-edge technology and collaborate with a talented team of researchers and developers.
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