As a Data Scientist in our Life Sciences practice, you will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.
You will be on McKinsey’s global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). You will work in a multi-disciplinary team and build the firm’s reputation in your area of expertise. You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data scientist in a technology development and delivery capacity.
As part of our London office, you will use your expertise in advanced mathematics, statistics, and/or machine learning, to help build and shape McKinsey’s scientific AI offering. You will bring distinctive statistical, machine learning, and AI competency to complex client problems.
In this role you will support the manager of data science with the development of data science and analytics roadmap of assets across cell-level initiatives. You will deliver distinctive capabilities, models, and insights through your work with client teams and clients.
You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders, and will write optimized code to advance our Data Science Toolbox and codify analytical methodologies for future deployment.