AI Engineer, Drug Discovery

SK Life Science • Paramus, NJ

18d

About The Position

Overview The AI Engineer will design and implement AI solutions tailored to pharmaceutical and biotech applications. Responsibilities This role involves 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. The AI Engineer will stay informed about the latest AI trends and be capable of translating ideas into practical, well-designed solutions. Responsibilities include reproducing existing technologies when appropriate, adapting current solutions to new applications, and developing scalable systems that fit into R&D workflows. The AI Engineer will apply 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.

Requirements

• Master’s degree or higher in AI-related fields.
• At least 3 years of relevant experience.
• Proficiency in utilizing, modifying, and applying deep learning models, and developing necessary layers as required.
• Strong ability to understand and reproduce research papers (publication of relevant papers is a plus).
• Ability to quickly learn and understand the domain (drug discovery related) and connect it with AI solutions.
• 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.

Nice To Haves

• Professional-level English communication skills is a plus.
• Experience in applying AI within drug discovery is advantageous.

Responsibilities

• design and implement AI solutions tailored to pharmaceutical and biotech applications
• identifying and defining areas within drug discovery that can be addressed and optimized through AI
• reproducing existing technologies when appropriate
• adapting current solutions to new applications
• developing scalable systems that fit into R&D workflows
• apply suitable machine learning methods for small datasets and deep learning techniques for large-scale data

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level