Description

In this role, you will collaborate with AI researchers and data scientists to create innovative AI solutions that enhance drug discovery. Your work will involve staying abreast of AI advancements and translating model insights into practical applications, ultimately driving efficiency and new therapeutic discoveries.

Requirements

• •4+ years of significant experience in innovation, development, deployment and continuous support of Machine Learning and modeling
• •Strong hands-on coding proficiency in Python and deep learning frameworks
• •Wide exposure to representation learning, deep generative modeling, probabilistic reasoning, and explainability approaches
• •Strong understanding and experience in using version control systems for developing software
• •Publications, patents, or open-source contributions demonstrating machine learning innovation and expertise
• •Ability to balance requirements, manage expectations, and drive effective results
• •Deep curiosity and passion for biomedical sciences driven therapeutic discovery
• •Experience with applying ML to core drug discovery areas is a plus
• •Knowledge of transformer architectures and advanced ML techniques
• •Familiarity with Apache Hadoop, Big Data, and Data Science

Tasks

• •Develop robust AI algorithms to accelerate drug discovery
• •Stay updated on the latest AI methods and innovations
• •Promote advancements in AI for biomedical research
• •Utilize Engineering and Product Development resources for AI adoption
• •Support drug discovery progress through AI contributions
• •Communicate and align with AICS teams and data science community
• •Lead high-value internal collaborations across biomedical research
• •Design metrics for AI models to ensure tangible impact
• •Translate model outputs into actionable hypotheses

Tools & Technologies