AI Scientist, Agentic AI Discovery

SK Life Science • Paramus, NJ

18h

About The Position

The AI Scientist will design, prototype, and advance next-generation AI systems for drug discovery and pharmaceutical research. This role focuses on exploring and applying emerging AI methodologies to accelerate scientific discovery, support data-driven decision-making, and improve R&D workflows across drug discovery programs. The AI Scientist will contribute to the development of agentic AI systems, multi-agent workflows, and AI-driven scientific reasoning platforms that integrate advanced machine learning, large language models, and biomedical research applications. The role requires a strong balance of AI research understanding, hands-on prototyping ability, and engineering execution to rapidly evaluate new ideas and translate them into scalable, production-ready solutions.

Requirements

• Master’s degree or higher in AI-related fields, Computer Science, Computational Biology, Bioinformatics, Machine Learning, or related disciplines.
• At least 3 years of relevant experience in AI, machine learning, or applied research environments.
• Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.
• Strong AI engineering and coding skills, with hands-on experience building scalable and production-ready AI applications and systems.
• Strong programming skills in Python and familiarity with modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar ecosystems.
• Ability to quickly learn and understand drug discovery and pharmaceutical R&D domains and connect them 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.
• Professional-level English communication skills.
• Candidates must be authorized to work in the United States without current or future employer sponsorship.

Nice To Haves

• Experience with AI-assisted development and rapid prototyping workflows (“vibe coding”)
• Strong interest or hands-on experience in agentic AI systems, multi-agent orchestration frameworks, AI reasoning workflows, and LLM-based applications.
• Experience working with biomedical or life science datasets and AI-driven scientific research platforms is highly desirable.
• Experience working with modern large language model ecosystems, prompt engineering, retrieval-augmented generation (RAG), or AI workflow orchestration frameworks is a plus.
• Experience applying AI within drug discovery, healthcare, or life sciences is advantageous.

Responsibilities

• Evaluating emerging AI techniques
• Reproducing and extending state-of-the-art research approaches
• Building experimental prototypes
• Developing reusable AI system architectures that can support scientific exploration and therapeutic discovery
• Collaborating closely with cross-functional research and engineering teams to identify high-impact opportunities where AI can meaningfully improve discovery efficiency and insight generation

What This Job Offers

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