Senior Data Scientist AI Strategy and Activation

Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth!

 

Remote Opportunity - Open to candidates anywhere in the greater United States

 

POSITION SUMMARY:

Lundbeck US is seeking a dynamic, motivated, and highly experienced individual for the position of Sr. Data Scientist AI Strategy & Activation. This individual will support the implementation of the US AI strategy and activation that is aligned with business goals driven by portfolio strategic priorities. This individual will also be responsible to identify and leverage opportunities to utilize AI for innovation and growth across Lundbeck US.

 

ESSENTIAL FUNCTIONS:

• Design, train, test, and deploy AI/ML models and algorithms to generate actionable insights for business teams and optimize existing processes.
• Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to understand business requirements, design AI solutions, and ensure successful integration of AI-driven solutions.
• Conduct thorough data exploration and preprocessing and identify features to improve model performance.
• Fine-tune and optimize models for production environments to meet performance, speed, and scalability goals.
• Apply state-of-the-art machine learning techniques, including neural networks, reinforcement learning, and unsupervised learning, to solve complex business problems.
• Monitor and evaluate model performance, implementing improvements based on feedback and results.
• 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.
• Foster a culture of continuous learning, sharing knowledge and contributing to the development of junior data scientists.

 

REQUIRED EDUCATION, EXPERIENCE, and SKILLS:

• Accredited  bachelor’s degree in a quantitative field (e.g., Computer Science, Data Science, Engineering, Mathematics, etc.).
• 4+ years of relevant experience in AI/ML model development, deployment, and optimization.
• Strong hands-on experience with AI/ML algorithms, NLP, Deep Learning, and large language models (LLMs).
• Strong proficiency in programming languages such as Python, R, or Java.
• 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 solutions.
• Strong analytical and problem-solving abilities with the capacity to translate data into business insights.
• Excellent oral and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Strong collaboration skills, able to work effectively with cross-functional teams and stakeholders.

 

PREFERRED EDUCATION, EXPERIENCE, and SKILLS:

• Strong Preference to be based in Deerfield, IL Office
• Experience leading projects or teams and collaborating with non-direct reports to achieve project goals.
• Ability to manage and prioritize multiple projects simultaneously, ensuring timely delivery and quality outcomes.
• Previous experience working in the pharmaceutical or biotech industries is preferred.
• In-depth experience working with pharmaceutical datasets (first-party patient data, third-party claims, EHR, demand data).
• Familiarity with regulatory standards in the pharmaceutical industry (e.g., GxP, ALCOA+).
• 7+ yea