About SK Life Science
Sourced by ZipRecruiter
Industry
Pharmaceutical and medicine manufacturing
Company size
51 - 200 Employees
Headquarters location
Paramus, NJ, US
Year founded
2002
Job description
The AI Engineer Intern will support the design and implementation of AI-driven solutions for pharmaceutical and biotech applications, with a focus on drug discovery. This internship offers hands-on experience in applying artificial intelligence to real-world R&D challenges while working alongside experienced scientists and engineers. The intern will gain exposure to the drug discovery process and contribute to projects that explore how AI can improve efficiency and innovation.
• Architect and manage agent-based systems that collaborate to execute drug discovery workflows
• Coordinate multiple AI agents (e.g., PI, modeling, simulation, optimization, critic) to enable automated discovery
• Assist in identifying opportunities within drug discovery where AI can enhance processes and outcomes
• Support the development and implementation of machine learning and deep learning models for research applications
• Reproduce and evaluate existing AI models and research papers to understand their applicability
• Help adapt and optimize AI solutions for new use cases within R&D workflows
• Contribute to building scalable and practical AI tools under guidance from senior team members
• Stay current with emerging AI trends and technologies and share insights with the team
• Collaborate with cross-functional teams to understand scientific problems and translate them into AI-driven approaches
• Currently pursuing a Bachelor’s, Master’s or PhD degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, or a related field
• Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, etc.)
• Familiarity with coding tools (e.g., Codex, Claude Code, etc.)
• Interest in pharmaceutical or biotech applications, particularly drug discovery
• Experience with academic or personal AI/ML projects
• Exposure to analyzing or reproducing research papers
• Coursework or projects related to life sciences, bi Strong analytical and problem-solving skills
• Willingness to learn and adapt in a fast-paced, innovative environment
• Effective communication and teamwork skills
• Ability to translate technical concepts into practical applications
• Bioinformatics, or computational biology
• Prior experience in drug discovery or AI research is a plus but not required
• Professional-level English communication skills are preferred
sklifescienceinc.com
Most Popular Engineering Intern Job Categories
Internship Autocad Solidworks
Robotics Engineering Intern
Python Mechanical Engineering
Software Engineer Intern Secret Clearance
Orcad
Internship Nvidia Hardware Engineer
Focus Features Intern
Internship Electrical Engineer Student
Internship Microsoft Biomedical Engineering
Formula Sae
Other Helpful Pages Related To Intern - AI Engineering
Electrical Engineering Intern Salaries
Electrical Engineering Intern Career Research
Frequently asked questions
Q: What skills or qualities help someone succeed as a Engineering Intern?
A: To succeed as an Engineering Intern, key technical skills include proficiency in computer-aided design (CAD) software, programming languages such as Python or C++, and familiarity with engineering design principles and tools like SolidWorks or Autodesk. Additionally, strong soft skills like effective communication, teamwork, and problem-solving abilities are crucial for collaborating with colleagues, presenting ideas, and adapting to new challenges. By combining technical expertise with these interpersonal skills, Engineering Interns can effectively contribute to projects, build valuable industry connections, and lay a strong foundation for future career growth in the field.
Q: What is the career path for a Engineering Intern?
A: A typical career progression for an Engineering Intern involves transitioning from an entry-level role, such as a Junior Engineer or Design Engineer, to mid-level positions like a Senior Engineer or Engineering Manager, and eventually to senior roles like a Technical Lead or Engineering Director. Throughout this journey, opportunities for skill development and professional growth arise from hands-on project experience, mentorship, and continuous education in areas like project management, leadership, and industry-specific technologies. Long-term career prospects for Engineering Interns may lead to specialized roles like Product Development, Research and Development, or even entrepreneurship, or they may choose to pursue advanced degrees in engineering or business.
