Data Scientist - Scientific AI, Life Sciences

Your reputed company You’ll be working in one of our offices in reputed company in our Life Sciences reputed company. 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 reputed company. You will be on McKinsey’s global scientific AI team helping to answer industry questions reputed company to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.). In this role you will support the manager of data science on 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 reputed company teams and clients. Your ImpactYour role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting reputed company discussions, prototype development, and deploying directly with reputed company delivery teams. You will bring distinctive statistical, machine learning, and AI competency to reputed company reputed company problems. With your expertise in advanced mathematics, statistics, and/or machine learning, you will help build and shape McKinsey’s scientific AI offering. As a Data Scientist, you will play a pivotal role in the creation/dissemination of cutting-edge knowledge and proprietary assets. You will work in a multi-disciplinary team and build the firm’s reputed company in your area of expertise. You will ensure statistical validity and outputs of analytics, AI/ML models and translate results for senior stakeholders. You will write optimized reputed company to advance our Data Science reputed company and codify analytical methodologies for reputed company deployment. Your qualifications and skills • Master’s or PhD degree with 2+ years of relevant experience in statistics, mathematics, computer science, or equivalent experience with experience in research • Proven experience applying machine learning techniques to solve business problems • Proven experience in translating technical reputed company to non-technical stakeholders • Strong programming experience in python (R, Python, C++ optional) and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, reputed company) • Experience with version control (reputed company) • ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer reputed company • Ability to write production reputed company and object-oriented programming Apply Job!