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How much do ai machine learning drug discovery jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai machine learning drug discovery in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is AI machine learning in drug discovery?

AI machine learning in drug discovery refers to the use of artificial intelligence algorithms and computational models to identify, design, and develop new pharmaceutical compounds more efficiently. By analyzing large datasets of chemical and biological information, machine learning can predict how potential drugs will interact with targets in the body, speeding up the early stages of drug development. This approach helps researchers identify promising drug candidates, optimize their properties, and reduce the time and cost involved in bringing new medications to market.

How does an AI machine learning professional in drug discovery typically collaborate with interdisciplinary teams during a project?

In drug discovery, AI and machine learning professionals regularly work alongside chemists, biologists, data scientists, and clinical researchers. Collaboration often involves translating complex biological or chemical data into machine learning models, discussing requirements with domain experts, and iterating on model outputs to ensure scientific relevance. Effective communication is essential, as team members rely on the AI expert to explain model findings, address data limitations, and suggest actionable insights for experimental validation. This interdisciplinary approach fosters innovation and accelerates the drug development process.

What are the key skills and qualifications needed to thrive as an AI machine learning drug discovery professional, and why are they important?

To thrive in AI Machine Learning Drug Discovery, you need a solid background in computational biology, chemistry, machine learning algorithms, and typically an advanced degree (PhD or MSc) in a related field. Expertise with programming languages such as Python or R, experience using deep learning frameworks (like TensorFlow or PyTorch), and familiarity with cheminformatics and bioinformatics tools are essential. Strong analytical thinking, problem-solving abilities, and effective collaboration skills set outstanding professionals apart in this field. These skills are crucial for developing innovative solutions, accelerating drug discovery pipelines, and working effectively within interdisciplinary teams.
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Ai Machine Learning Drug Discovery jobs near you
Infographic showing various Ai Machine Learning Drug Discovery job openings in the United States as of August 2026, with employment types broken down into 3% Internship, 78% Full Time, 3% Part Time, and 16% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

AI Scientist, Agentic AI Discovery

Sk Life Science, Inc.

Paramus, NJ • On-site

$135K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 19 days ago

Job description

Overview
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.
Responsibilities
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.
  • English Proficiency: Professional-level English communication skills.
  • Track Record: Experience applying AI within drug discovery, healthcare, or life sciences is advantageous.

**Candidates must be authorized to work in the United States without current or future employer sponsorship.
Compensation & Benefits
The anticipated salary range for this position is $135,000 - $160,000. Actual compensation may vary based on factors including experience, qualifications, skills, and business needs.
In addition to base salary, SK Life Science offers a competitive benefits package, including a 401(k) plan with company match and medical, dental, and vision coverage. Benefits are subject to eligibility requirements and may be modified at the Company's discretion.

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