Senior Software Engineer - Life Sciences.AI
mckinsey companyCoatesville (PA)
Senior Software Engineer - Life Sciences.AI
Posted today
mckinsey companyCoatesville (PA)
SENIORITY
Lead
About the role
Overview:
In this role you will design and build differentiated agentic, full-stack applications for Life Sciences, turning pilots into production-ready systems and delivering AI-driven solutions for Pharma and MedTech. You’ll work within a global Life Sciences AI team integrated with QuantumBlack, focusing on high-value commercial use cases and scalable, reusable components. You will collaborate with diverse teams and executives to shape impactful, ethics-driven technology strategies. This is an opportunity to grow as a technologist and leader in a fast-paced, learning-focused culture. Compensation / Benefits competitive salary comprehensive benefits package global learning and apprenticeship culture
Responsibilities:
Design and deliver agentic and full-stack applications for high-value Life Sciences use cases Transform pilots into production-ready systems spanning end-to-end workflows Develop small to mid-sized agentic assets addressing complex client problems Contribute to industry-shaping tools and reusable components across infrastructure, platforms, and services Collaborate with distributed teams and stakeholders, including data owners and C-level executives Write high-quality modular code and assess feasibility of innovative solutions Support acceleration of product development and shift toward asset-based consulting
Key requirements:
Degree in computer science, engineering, mathematics, or related field 5+ years of full-stack development experience Experience building agentic applications and AI agents (single- and multi-agent workflows, tool calls, memory, planning, HITL) Proficiency with cloud platforms and containers (AWS, Azure, Docker); DevOps (CircleCI, Git); database (SQL, PGVector) Strong Python for agent development; API development; UI frameworks (React.js, Next.js) Knowledge graphs to structure data for GenAI/LLM apps is a plus Experience collaborating with diverse software teams and non-technical stakeholders Agile experience and active participation in sprint ceremonies; strong time management and communication skills Collaborative mindset Strong written and verbal communication Adaptability and resilience Agentic application development Multi-agent orchestration Python for AI agents
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