AI Scientist
IQVIA
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting-edge Generative AI algorithms to solve real-world problems with significant impact?
The AI Scientist Group at the Applied Data Science Center at IQVIA is a strategic team that helps pharmaceutical companies and related institutions in life sciences implement AI/ML solutions and realize transformational business opportunities. This team of AI scientists, consultants, and engineers works step-by-step with customers to build bespoke solutions that harness the power of machine learning and Generative AI.
The team helps pharmaceutical customers imagine and scope the use cases that will create the greatest value for their businesses, select, train, and fine-tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale.
**Key Responsibilities**
+ Collaborate with internal teams and work directly with pharmaceutical/life sciences institutions to identify and address business needs with Generative AI applications.
+ Design and conduct experiments, research new algorithms, and innovate to optimize risk, profitability, and customer experience.
+ Develop, implement, and refine advanced Generative AI models to solve complex, novel problems.
+ Work with a multidisciplinary team to build and deploy scalable AI solutions.
+ Create proof-of-concepts and prototypes to showcase the potential of Generative AI technologies.
+ Stay updated with the latest advancements in Generative AI and machine learning, applying them to practical scenarios.
+ Provide technical leadership and mentorship to team members.
+ Present and explain AI solutions to non-technical stakeholders in customer-facing roles.
+ Apply consulting principles to deliver tailored AI solutions that meet specific client needs.
**Required Qualifications and Skills**
+ Advanced degree (Ph.D. or Master’s) in Computer Science or a related field.
+ Proven experience in designing and implementing Generative AI models and algorithms.
+ Strong programming skills in Python, with hands-on experience in frameworks such as PyTorch, LangChain, GraphRAG, AutoGen, and various vector/graph databases (e.g., ChromaDB, Neo4j).
+ Hands-on experience with cloud platforms (e.g., Azure) and deploying machine learning models at scale, including Azure OpenAI Services.
+ Deep understanding of standard machine learning techniques and cutting-edge Generative AI technologies.
+ Excellent problem-solving skills with the ability to think creatively and critically.
+ Strong communication and collaboration skills, capable of explaining complex technical concepts to non-technical stakeholders.
+ Experience in customer-facing roles with strong consulting skills to understand and solve client needs.
+ Ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
+ Desire to work in a collaborative environment.
+ Previous experience in contract research organizations (CRO) or similar life-science organizations is a plus.
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 a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
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