AI Scientist

As an AI Scientist you will be responsible for building, deploying, and scaling AI and machine learning solutions that drive business decisions in commercial, finance, and other functions. This is a hands-on role. You will work closely with cross-functional teams across the enterprise to identify opportunities for innovation with AI and create solutions.

Responsibilities

Build, deploy, and scale AI and machine learning solutions that drive business decisions in commercial, finance, and other functions; Identify opportunities for innovation with AI and create solutions with cross-functional teams across the enterprise; Conduct research to identify emerging methods and technologies, and champion their adoption; Build and deploy machine learning and AI solutions on enterprise platforms; Communicate insights and recommendations to technical and non-technical stakeholders; Manage and prioritize multiple projects simultaneously; Solve complex business problems with advanced analytics and AI/ML methods; Develop, deploy, and scale production analytics solutions, including feature engineering, data pipelines, monitoring, and retraining; Apply AI to complex business problems and decisions; Drive innovation by introducing new methods and technology and leading their adoption; Influence and improve strategic decision-making with AI; Collaborate with cross-functional teams; Mentor team members and promote engineering and modeling best practices

Requirements

Master in Economics, Computer Science, Applied Mathematics, Operations Research, Engineering or related field; At least 5 years related working experience; Experience deploying and operating machine learning models in production, including feature stores, ML pipelines, and model monitoring; Proficiency in programming languages such as Python and SQL; Experience in at least one of the following business areas: new product planning, portfolio management, commercial analytics, real world evidence, corporate strategy, or marketing in life sciences

Nice to have

Experience with MLOps practices such as model registries and CI/CD for machine learning; Familiarity with cloud computing platforms such as AWS or Azure; Knowledge of generative AI and agentic applications; Experience with forecasting, experimentation, or causal inference; Pharmaceutical or healthcare industry experience; Demonstrated record of innovation, taking new methods from idea to business adoption; Excellent communication and presentation skills; Strong leadership and mentoring skills; Ph.D. in Economics, Computer Science, Applied Mathematics, Operations Research, Physics, Engineering or quantitative related field with at least 3 years related working experience; Business credibility with senior stakeholders; Hands-on technical; Innovative mindset; Strong analytical and problem-solving skills; Excellent communication skills

Benefits

Company bonus (depending, in part, on company and individual performance); Company-sponsored 401(k); Pension; Vacation benefits; Medical, dental, vision and prescription drug benefits; Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); Life insurance and death benefits; Certain time off and leave of absence benefits; Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities); Flexible hybrid work model with three days onsite and two days remote each week