Lundbeck US is seeking to leverage AI analytics to support the implementation of its AI strategy and activation, aligned with business goals driven by portfolio strategic priorities, and identify opportunities for innovation and growth.
Requirements
- 4+ years of relevant experience in AI/ML model development, deployment, and optimization for marketing, sales and/or commercial initiatives.
- Strong Proficiency in predictive modeling and machine-learning techniques including cluster analysis, multivariate regression/tree-based analysis, neural networks, reinforcement learning, unsupervised/supervised ML, Bayesian/Monte Carlo/Bootstrapping etc.
- Strong proficiency in programming languages such as Python, R, or Java.
- Hands-on experience with NLP, Deep Learning, and large language models (LLMs).
- Experience in working with cloud platforms and MLOps for model deployment.
- Familiarity with version control systems, such as Git.
- Ability to tackle complex problems independently, providing practical and scalable AI/ML solutions.
Responsibilities
- Design, train, test, and implement AI/ML models and algorithms to optimize existing processes across business units by leveraging state-of-the-art machine learning techniques, including neural networks, reinforcement learning, and unsupervised learning, to solve complex business problems.
- Conduct thorough data exploration and preprocessing to identify features to improve model performance and fine-tune the model for production environments to meet operational goals.
- Maintain model performance after deployment and implement improvements to address evolving business needs.
- Coordinate and manage daily activities of vendor support or technical staff effectively by interpreting customer/business needs and translating to technical requirements for the team. Provides direct guidance when technical issues arise.
- Stay up-to-date with the latest advancements in AI and machine learning research, and proactively identify areas where AI solutions can improve efficiency and effectiveness across various business functions.
- Contribute to the development of an AI strategy that aligns with business goals and drives value across various functions.
- Document AI models, methodologies, and processes, ensuring that best practices are shared within the team and the broader organization.
Other
- Remote opportunity - Open to candidates anywhere in the greater United States
- Accredited bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics, etc.).
- Ability to manage and prioritize multiple projects simultaneously, ensuring timely delivery and quality outcomes.
- Experience leading projects or teams and collaborating with non-direct reports to achieve project goals.
- Previous experience working in the pharmaceutical or biotech industries is preferred.
