This role involves partnering with global teams to design and deploy advanced analytics solutions in the Life Sciences sector. You will transform pilot projects into production-ready systems that enhance commercial workflows and positively impact patient outcomes. Working in Agile teams, you will leverage cutting-edge technologies and mentor junior colleagues while contributing to R&D projects. The position offers opportunities for innovation and growth within a diverse and collaborative environment.

• Degree in computer science, business analytics, engineering, mathematics, or a related field
• 5+ years of professional experience in data engineering, software engineering, or adjacent technical roles
• Proficiency in Python for production-grade pipelines, with strong skills in SQL and PySpark
• Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence
• Familiarity with workflow orchestration tools such as Temporal and CI/CD for data workflows
• Experience building systems with different data formats and deploying across major cloud platforms
• Strong foundation in system design, data storage, and reliability with commonly used data platforms
• Understanding of MLOps and LLMOps principles including pipeline monitoring and testing
• Strong communication skills in English

• Design and manage scalable data pipelines and secure analytics platforms
• Lead technical initiatives and mentor team members
• Collaborate with diverse Agile teams to create impactful solutions
• Own the technical platform for advanced analytics solutions
• Map data fields to hypotheses and prepare data for advanced models
• Contribute to R&D projects and internal asset development
• Drive innovation and help organizations address critical challenges

• Employees at McKinsey are often offered a comprehensive benefits package, including medical, dental, and vision coverage, prescription benefits, mental-health resources, expert medical opinions, and travel emergency protection. Financial benefits typically include retirement contributions and savings plans, life/accident/disability insurance, tax-advantaged accounts, and financial coaching. Many roles also feature generous paid time off (including volunteering days), flexible/hybrid work options, family care support (parental leave, fertility/adoption/surrogacy assistance, backup care), tuition reimbursement, transportation benefits, discounts, and matching gifts.