AI Scientist, Agentic AI Discovery

SK Life Science, Inc.; Paramus (NJ); On-site; USD 100,000 - 130,000; Full time

Job summary

SK Life Science, Inc. is looking for an AI Engineer to design and implement AI solutions tailored for pharmaceutical and biotech applications. This role requires a Master’s degree in AI-related fields and at least 3 years of relevant experience. Responsibilities include identifying areas within drug discovery for AI optimization, developing scalable systems, and staying updated on AI trends. Strong problem-solving skills and the ability to work in a fast-paced environment are essential. Candidates must be legally allowed to work in the U.S.

Qualifications

• At least 3 years of relevant experience in AI.
• Experience in applying AI within drug discovery is advantageous.
• Ability to learn domain knowledge quickly.

Responsibilities

• Design and implement AI solutions for pharmaceutical and biotech applications.
• Identify areas within drug discovery that can be optimized through AI.
• Develop scalable systems for R&D workflows.

Skills

Proficiency in deep learning models

Strong strategic thinking

Problem-solving skills

Interpersonal skills

Communication skills

Ability to work in fast-paced environments

Education

Master’s degree or higher in AI-related fields

Job description

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.

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.