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How much do sk life science jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for sk life science in the United States is $16.26, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $16.35 per hour, depending on experience, location, and employer.

What is an SK Life Science?

An SK Life Science job typically involves working for SK Life Science, a pharmaceutical company focused on central nervous system (CNS) disorders. Roles can vary across departments such as research and development, regulatory affairs, sales, and marketing. Employees may work on developing, testing, and commercializing treatments for epilepsy and other CNS disorders. Positions often require expertise in pharmaceuticals, biology, chemistry, or business, depending on the specific role.

What are the key skills and qualifications needed to thrive in the SK Life Science position, and why are they important?

To excel at SK Life Science, a professional background in biology, chemistry, or pharmaceutical sciences—often with a relevant degree or certification—is vital. Familiarity with laboratory information management systems (LIMS), clinical trial software, and regulatory compliance platforms is typically required. Strong analytical thinking, meticulous attention to detail, and collaborative communication skills are crucial soft skills in this environment. These competencies ensure accurate research, regulatory adherence, and effective teamwork necessary for successful scientific outcomes.

What does a typical workday look like at SK Life Science?

A typical workday at SK Life Science often involves a combination of laboratory research, data analysis, and collaboration with cross-functional teams such as regulatory affairs, quality control, and clinical development. Team members may conduct experiments, document results, attend project meetings, and review compliance with industry regulations. The environment is fast-paced and dynamic, encouraging continuous learning and problem-solving. You'll have the opportunity to contribute to critical projects while building expertise in life sciences and pharmaceutical processes.

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Sk Life Science jobs near you
Infographic showing various Sk Life Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $33,815 per year, or $16.3 per hour.

[ SK Life Science ] AI Scientist, Agentic AI Discovery

Paramus, NJ • On-site

Korean American Society in Biotech and Pharmaceuticals
See more jobs at Korean American Society in Biotech and Pharmaceuticalsexternal

$100 - $130/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

SK Life Science AI Scientist, Agentic AI Discovery

AI Scientist, Agentic AI Discovery (1 position)

  • Work location: Paramus, New Jersey
  • Employment type: Full‑time
Role Description

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 programmes.

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.

Responsibilities include evaluating emerging AI techniques, reproducing and extending state‑of‑the‑art research approaches, building experimental prototypes, and developing reusable AI system architectures that can support scientific exploration and therapeutic discovery. The AI Scientist will collaborate closely with cross‑functional research and engineering teams to identify high‑impact opportunities where AI can meaningfully improve discovery efficiency and insight generation. The ideal candidate is highly technical, deeply curious about frontier AI capabilities, and excited about applying advanced AI systems in real‑world drug discovery environments.

Qualifications
  • Education: Master’s degree or higher in AI‑related fields, Computer Science, Computational Biology, Bioinformatics, Machine Learning, or related disciplines.
  • Experience: At least 3 years of relevant experience in AI, machine learning, or applied research environments.
  • Work Authorization: Applicants must be legally authorized to work in the United States. Visa sponsorship is not available for this position.
  • AI Engineering Skills: Strong AI engineering and coding skills, with hands‑on experience building scalable and production‑ready AI applications and systems.
  • AI‑Assisted Development: Experience with AI‑assisted development and rapid prototyping workflows (“vibe coding”) is highly desirable.
  • Agentic AI: Strong interest or hands‑on experience in agentic AI systems, multi‑agent orchestration frameworks, AI reasoning workflows, and LLM‑based applications.
  • Biomedical Research: Experience working with biomedical or life science datasets and AI‑driven scientific research platforms is highly desirable.
  • Generative AI & LLMs: Experience working with modern large language model ecosystems, prompt engineering, retrieval‑augmented generation (RAG), or AI workflow orchestration frameworks is a plus.
  • Technical Stack: Strong programming skills in Python and familiarity with modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, LlamaIndex, or similar ecosystems.
  • Domain Knowledge: Ability to quickly learn and understand drug discovery and pharmaceutical R&D domains and connect them 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.
  • Track Record: Experience applying AI within drug discovery, healthcare, or life sciences is advantageous.
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