AIML PhD Intern (Summer 2025)

As an AIML PhD Intern at IQVIA, you will focus on collaborating with our Advanced Analytics team on algorithm development using diverse data sources. You'll design and implement deep learning models, explore Generative AI and Large Language Models to improve data interpretation, and prepare scientific papers documenting your findings. Additionally, you'll assist in creating platforms that support commercial insights in healthcare and pharma, ensuring impactful, data-driven solutions.

To be considered for the AIML PhD Intern position at IQVIA, candidates should be PhD candidates in relevant fields such as Computer Science, Data Science, or Artificial Intelligence, with a strong focus on deep learning and generative models. Experience in real-world data analytics, especially in healthcare, is highly desired. Candidates should also have programming skills in SQL, Python, or R, and must be able to demonstrate strong problem-solving abilities and a passion for AI.

As an AIML PhD Intern at IQVIA, your expertise in deep learning will be put to use in developing sophisticated algorithms that improve healthcare analytics. You’ll apply your skills to real datasets, create deep learning models that yield actionable insights, and collaborate with various experts to refine and present results. This is a fantastic opportunity to bridge theory with practice and contribute to industry-leading methodologies in healthcare.

During your internship at IQVIA, AIML PhD Interns will tackle a range of projects aimed at enhancing the capabilities of healthcare analytics. Projects may include developing predictive models based on medical claims and electronic medical records, employing Generative AI to enhance data insights, and creating visual dashboards for data representation. This dynamic, hands-on experience will equip you with invaluable skills and knowledge in real-world applications of AI.

The potential base pay range for the AIML PhD Intern position at IQVIA is between $31,900 and $53,100 annually. Actual compensation may vary based on various factors, including qualifications, skills, and location. Along with competitive pay, internships at IQVIA may also include access to various health and welfare benefits, offering a comprehensive compensation package.

When answering this question, highlight specific deep learning projects you have worked on, the frameworks or tools you used (like TensorFlow or PyTorch), and the outcomes of these projects. Emphasize your role in the projects and any collaboration with teams or stakeholders, which demonstrates both technical prowess and teamwork capabilities.

When addressing this question, explain what Large Language Models are, focusing on their ability to process and generate human-like text. Discuss specific applications in healthcare, such as automated summarization of patient records, aiding in clinical decision-making, or generating patient interaction insights – all of which highlight your understanding and readiness for the AIML role.

For the AIML PhD Intern position, proficiency in programming languages like Python, SQL, and R is critical. Discuss your experience with these languages in data processing and analysis, and provide examples of projects where you effectively utilized these skills to achieve significant results, showcasing your technical depth.

In response, outline your structured approach to problem-solving. Detail how you define the problem, gather necessary data, explore potential solutions, and evaluate outcomes. Provide a specific example from your experience, highlighting your analytical skills and commitment to finding innovative solutions in complex scenarios.

Share your experiences relating to scientific publications, including papers you've authored or co-authored, the research topics covered, and the impact of your findings. Emphasize the skills required to conduct research, analyze data, and communicate results effectively, all of which are valuable for an intern contributing at IQVIA.

Explain methodologies you implement to guarantee the integrity of your analysis. This could involve rigorous testing of models, peer reviews, and collaboration with domain experts. Illustrate with an example where your attention to detail significantly impacted the outcome of an analytical solution.

Reflect on your personal journey and how your passion for AI has grown. Discuss specific experiences or projects that inspired you and how you see AI's potential to drive change, particularly in healthcare. This authentic narrative will resonate with interviewers looking for driven candidates.

Provide detailed insights about your experience handling healthcare datasets, the types of analyses you performed, and how you addressed challenges specific to this field, such as data privacy and ethical considerations. Discuss tools you used and the significance of this experience for the AIML internship role.

In your response, emphasize how collaborative efforts enhance project success by merging diverse skill sets and perspectives. Cite a specific collaborative project where teamwork led to impressive outcomes, demonstrating your value as a team player within the AIML framework at IQVIA.

Share your methods for keeping current with AI advancements. This could include attending conferences, following research journals, participating in online courses, or being active in relevant online communities. Highlight how these activities contribute to your ability to innovate and improve in your role at IQVIA.