McKinsey & Company · 6 hours ago
Senior Software Engineer - Life Sciences
McKinsey & Company is a global management consulting firm, and they are seeking a Senior Software Engineer for their Life Sciences Data and Analytics Center of Excellence. In this role, you will develop full stack software applications, mentor junior team members, and make architectural decisions while leveraging GenAI technologies to enhance the development process and deliver impactful solutions to clients.
ConsultingManagement ConsultingProfessional Services
Responsibilities
Develop full stack software applications in a Life Sciences context
Deliver highly performant, tested, and scalable clean code
Make application architecture decisions with the help of the team
Own product deployment and performance in production
Mentor and coach junior members of the technical team, including through code reviews and pair programming
Anticipate and identify technical impediments and resolve them through architecture design, technology choices, or prioritization
Work closely with the Product Owner to align the roadmap with strengths and opportunities within the existing architecture
Act as a thought partner to the Product Owner in story creation and acceptance criteria
Co-create engineering practices, coding style guidelines, and testing approaches
Constantly look for better ways to solve technical problems and design solutions
Qualification
Required
Undergraduate or master's degree; or equivalent experience
5+ years of experience in software development, with demonstrated knowledge and hands-on experience across the full application stack with some of the following languages/frameworks: JavaScript, TypeScript, React, Angular, Vue, jQuery, Java, Sprint, C#, .NET, Node.js, SQL, MySQL, SQL Server, MongoDB, cloud-native databases, AWS, Azure, GCP, Jenkins, Docker, Circle CI, Travis
Experience with big data, pharmaceutical/MedTech data, a working knowledge of the pharmaceutical space, and/or greater Healthcare space required
Entrepreneurial mindset with the ability to thrive in a fast-changing environment and build connections across the organization; comfort with ambiguity and rapid changes common in early-stage product development
Exceptional problem-solving skills, creativity, and a passion for working in cross-cultural environments
Strong work ethic, professional attitude, and a “can-do” mindset, with the ability to manage multiple workstreams in a dynamic setting
Ability to collaborate closely with Product Owners and stakeholders to deliver feasibility/complexity assessments and think critically about backlog prioritization
Practical knowledge of software engineering best practices, including Agile development methodologies, DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration, as well as hands-on experience with CI/CD tools and version control systems (GitHub), and ability to leverage and model Agile development practices and mindsets
Recent experience in implementing cloud-native software solutions on AWS, Azure and/or GCP with hands-on experience debugging complex distributed systems using cloud-native observability tooling, experience with cloud-native architecture design a plus
Experience building software solutions which integrate with GenAI resources, LLMs, or Agentic flows. Experience in prompt engineering for software development use cases. Experience in implementing GenAI capabilities with cloud-native software using modern frameworks (e.g., langchain, lammaindex) a plus
Strong communication skills, with the ability to align teams on complex technical decisions and explain technical concepts to non-technical colleagues
Benefits
Competitive salary
Comprehensive benefits package
Company
McKinsey & Company
McKinsey & Company is a global management consulting firm and trusted advisor by businesses, governments, and institutions.
H1B Sponsorship
McKinsey & Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (612)
2024 (647)
2023 (613)
2022 (811)
2021 (740)
2020 (471)
Funding
Current Stage
Late StageRecent News
Company data provided by crunchbase