Highlights
Leverage Generative AI to drive innovation in health science; collaborate with top experts across global locations.
Description
Job Summary
pWe're seeking a Data Scientist with expertise in artificial intelligence, machine learning, and generative AI to drive innovation and data-driven decision-making. This role is crucial for supporting projects that align with our mission to protect patient safety and improve global health.
Responsibilities
- Design, develop, and deploy AI/ML models to solve business and scientific problems, focusing on Generative AI applications.
- Collaborate with data engineers to access, clean, and prepare large-scale datasets for modeling and experimentation.
Required Skills
- Artificial Intelligence
- Machine Learning
- Data Modeling
- Prompt Engineering
- Large Language Models
Required Skills Explained
- Design, develop, and deploy AI/ML models to solve business and scientific problems with a focus on Generative AI applications.
- Collaborate with data engineers to access, clean, and prepare large-scale datasets for modeling and experimentation.
Who is this for
pThis role is perfect for professionals who understand the power of data and enjoy uncovering insights through advanced modeling, experimentation, and cutting-edge AI techniques. Ideal candidates are passionate about solving complex problems using data and developing intelligent systems.
Why This Job is a Good Opportunity
ulliContribute to cutting-edge projects that aim to protect patient safety and improve global health through AI and ML innovations.liWork in an inclusive environment that values diversity, equity, inclusion, and belonging.liPossibility for significant impact on the mission of USP by leveraging data-driven insights and advanced techniques.liAccess to a wide range of resources and expertise across various teams within the organization.liOpportunities for professional growth in a supportive work culture with experienced mentors and collaborators.
Interview Preparation Tips
- Prepare examples from previous projects where you have successfully designed, developed, or deployed AI/ML models to solve complex problems.
- Be ready to discuss your experience with Generative AI techniques such as LLMs, RAG, and prompt engineering.
- Showcase your proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), SQL, data visualization tools, and cloud platforms like Azure or AWS.
- Highlight any experience you have with scientific chemistry nomenclature or prior work in life sciences.
- Demonstrate strong communication skills through relevant examples of how you effectively collaborated with stakeholders.
Career Growth in This Role
pThe role offers a pathway for continuous learning and advancement as it requires staying current with the latest AI and ML trends. Opportunities exist to lead more complex projects, mentor junior team members, and potentially take on leadership roles within the Digital Product Engineering team or other departments at USP.pWith the increasing demand for data science professionals in the healthcare industry, this role provides a stable career trajectory that aligns with global health initiatives and technological advancements. The diverse and collaborative environment fosters personal and professional growth, making it an excellent choice for those passionate about AI's impact on societal well-being.
Explore More Opportunities
Skills
Frequently Asked Questions
What is the role of this position?This role involves designing and deploying AI/ML models to solve scientific problems, collaborating with data engineers, and translating complex findings into actionable insights.
What kind of datasets will I be working with?You will work with large-scale datasets from various sources, including pharmaceutical and life sciences data.
What are the benefits of this role?Competitive salary, comprehensive healthcare options, company-paid time off, and retirement savings plans.
