Data Scientist, AI Analytics, Strategy and Activation

Job Description: • Design, train, test, and implement AI/ML models and algorithms to optimize processes across business units using state-of-the-art techniques • Conduct data exploration and preprocessing to identify features and improve model performance • Fine-tune models for production environments and maintain model performance after deployment • Coordinate and manage activities of vendor support or technical staff and translate business needs to technical requirements • Stay up-to-date with AI/ML research and identify AI opportunities to improve efficiency across functions • Contribute to development and activation of Lundbeck US’s AI strategy aligned with business goals • Document AI models, methodologies, and processes and share best practices • Partner with Advanced Analytics and Omnichannel Customer Engagement team and cross-functional teams on requirements, solution development, and implementation Requirements: • Accredited bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Statistics, Engineering, Mathematics, Economics, etc.) • 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 • Strong proficiency in programming languages such as Python, R, or Java • Hands-on experience with NLP, Deep Learning, and large language models (LLMs) • Experience working with cloud platforms and MLOps for model deployment • Familiarity with version control systems, such as Git • Ability to tackle complex problems independently and provide practical, scalable AI/ML solutions • Strong analytical and problem-solving abilities with capacity to translate data into business insights • Willingness/ability to travel up to 20% domestically • Preferred: ability to manage and prioritize multiple projects simultaneously • Preferred: experience leading projects or teams • Preferred: previous experience in pharmaceutical or biotech industries • Preferred: in-depth experience with pharmaceutical datasets (first-party patient data, third-party claims, EHR, demand data) • Preferred: excellent oral and written communication skills and familiarity with regulatory standards in the pharmaceutical industry (e.g., GxP, ALCOA+) Benefits: • Flexible paid time off (PTO) • Health benefits including Medical, Dental and Vision • Company match 401(k) • Eligibility for 15% bonus target • Eligibility to participate in company’s long-term incentive plan • Remote work opportunity (open to candidates anywhere in the greater United States) Apply tot his job