AI Engineer, Drug Discovery

About

The AI Engineer will design and implement AI solutions tailored to pharmaceutical and biotech applications.

Responsibilities

• Identifying and defining areas within drug discovery that can be addressed and optimized through AI, leveraging an understanding of the discovery process to solve key challenges.
• Staying informed about the latest AI trends and being capable of translating ideas into practical, well-designed solutions.
• Reproducing existing technologies when appropriate, adapting current solutions to new applications, and developing scalable systems that fit into R&D workflows.
• Applying suitable machine learning methods for small datasets and deep learning techniques for large-scale data, ensuring solutions are both effective and adaptable across different problem settings.

Qualifications

• Education: Master’s degree or higher in AI-related fields.
• Experience: At least 3 years of relevant experience.
• Skills: Proficiency in utilizing, modifying, and applying deep learning models, and developing necessary layers as required.
• AI research: Strong ability to understand and reproduce research papers (publication of relevant papers is a plus).
• Domain knowledge: Ability to quickly learn and understand the domain (drug discovery related) and connect it with AI solutions.
• Other skills: Strong strategic thinking, problem-solving, interpersonal, and communication skills. Ability to excel in a fast-paced, startup-like environment with a focus on innovation and adaptability.
• English Proficiency: Professional-level English communication skills is a plus.
• Track Record: Experience in applying AI within drug discovery is advantageous.
• Candidates must be authorized to work in the United States without current or future employer sponsorship.