GenAI Scientist Intern
Durham, North Carolina, United States of America
Part Time Internship Entry-level / Junior USD 26K - 66K
IQVIA
Solutions to help life sciences organizations drive healthcare forward and get the right treatments to patients, faster.AI Scientist – LLM Fine-tuning and Distillation
About IQVIA
Here, at IQVIA, we are building our internship program around smart, talented students that are excited about shaping the future of human health. As an IQVIA intern, you are able to create your own experience through insightful interaction with many different business units across the organization that will allow you to help us develop outside the box solutions to help solve some of the most important problems facing the healthcare industry. Every intern experience at IQVIA is unique and with our dedicated Early Talent Team here to take care of you, each intern will experience an inclusive intern community, fireside chats with executives, lunch & learns with various business units, access to our Employee Resource Groups, mentorship, skill shares, end of season presentations and much more!
About the Role
We seek a highly motivated and skilled AI Scientist Intern to join our Generative AI program within the R&DS department. The ideal candidate will focus on fine-tuning or distilling LLMs to tackle labor-intensive challenges in pre-/post-award clinical trials, including clinical trial document creation, automatic issue identification, protocol digitization, indication prioritization, and more. This role requires a strong research background in Generative AI, encompassing in-depth understanding of Supervised Fine-Tuning (FST) and reinforcement learning algorithms such as Proximal Policy Optimization (PPO). The candidate also needs to have extensive hands-on experience in designing AI agents, creating fine-tuning datasets from scratch, prompt engineering, efficient RAG creation, agentic AI system customization, and more basic GenAI techs. This position offers an exciting opportunity to contribute to groundbreaking research in GenAI technologies that will significantly impact the life-science industry, particularly in expediting clinical trials.
Key Responsibilities
The selected candidate will be responsible for customizing LLM for specific use cases, designing and executing Generative AI experiments while collaborating with our top-tier engineering team and life-science experts to push the boundaries of content generation and reduce the time for delivering impactful end-to-end automatic solutions. The role will involve multiple use cases for experimentation, where the candidate will collaborate with data engineers, architects, and business subject matter experts (SMEs) to develop potential LLM-based solutions for each use case.
Qualifications
· Demonstrated research expertise in Generative AI, especially reinforcement learning for LLMs. Having top-AI conference publications in the field of generative AI will be a plus.
· Rich hands-on experience in creating fine-tuning datasets from scratch, fine-tuning LLMs through customizing training process/cost functions/reward modelling, etc.
· Experience with Azure cloud platform or Databricks to develop and deploy advanced GenAI solutions.
· Strong programming skills in Python with sufficient hands-on experience on LangChain, LangGraph, AutoGen, various vector DBs, Neo4j, etc.
· Ability to formulate new research problems, create training pipelines and evaluate model performance.
· Currently enrolled in PhD program in Computer Science or related fields
*Enrolled in Compter Science PhD with a major on large language model, specifically on reinforcement learning for model fine-tuning or distillation*
· Eligible to work in the United States and physically located in the United States during the internship.
Internship Location: Remote
What We Can Do for You:
• Innovative & Impactful Projects: Dive into cutting-edge generative AI projects that directly impact the efficiency and accuracy of clinical trial document generation, contributing to the advancement of healthcare solutions.
• Diverse & Global Collaboration: Work alongside a diverse team of experts and cross-functional partners from around the world, gaining insights and experience from a variety of perspectives and disciplines.
• Hands-On Learning & Development: Engage in hands-on experimentation and development, utilizing a series of GPT models including in-house open-source LLMs, and state-of-the-art AI tools and methodologies to solve real-world business challenges in the healthcare industry.
• Growth & Learning Culture: Thrive in an environment that values continuous learning and innovation, where your curiosity and initiative are encouraged and supported by access to global resources and expertise.
• Competitive salary: Offer a competitive salary that reflects your skills, experience, and contributions to our innovative projects.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
The potential base pay range for this role, when annualized, is $26,500.00 - $66,100.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.Tags: Azure Computer Science Databricks Engineering Generative AI GPT LangChain LLMs Neo4j Open Source PhD Pipelines Prompt engineering Python R RAG Reinforcement Learning Research
Perks/benefits: Career development Competitive pay Health care
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