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Sigma-Aldrich logo
默克生命科学
Head of Front-end Engineering
立即应聘

Head of Front-end Engineering

发布于 6 个月前

基层主管/组长

Bangalore, Karnataka, India
专家级经验
全职员工
仅现场办公
本科
软件工程
前端架构
团队管理
敏捷开发
数据建模
用户体验设计
Next.js
R/Shiny

薪资面议

暂无薪资依据说明。

职位详情

关于这个职位

作为前端工程负责人,您将加入默克生命科学的医疗保健研发部门,领导一个由6名工程师组成的团队,负责开发和改进数据与AI产品的前端解决方案

您需要确保技术选型、团队发展和产品交付的质量与时效,并与跨职能团队紧密合作,共同推动新药研发的数字化进程

最低要求

计算机科学、信息系统或相关领域的大学学位

年以上作为前端/仪表板开发高级贡献者的相关专业经验
出色的领导力和利益相关者管理技能,拥有3年以上领导技术团队的经验
具备监督前端系统架构和设计的经验,确保其安全性、可扩展性、可访问性、性能和可维护性
具备(前端和后端)编程技术专长,并能够制定和实施编码标准、测试和部署流程的最佳实践
深入了解如何利用现代前端技术构建仪表板解决方案(例如 Tableau)、简单的数据驱动应用程序(例如 Streamlit, R/Shiny)和复杂的定制系统(例如 React, Next.js)
具备交付前端解决方案的经验,这些解决方案需提供引人入胜的用户体验(UX)并遵循既定的用户界面(UI)原则
深入了解数据建模、数据契约、数据存储系统(例如数据仓库、关系数据库、NoSQL数据库、数据湖)和数据治理
强大的解决问题能力和在压力下工作的能力

工作职责

领导一个由6名才华横溢的前端工程师组成的团队,为我们的数据和AI产品开发创新前端解决方案提供专家指导

与其他工程团队、产品领导层、架构团队以及业务专家和领导者合作,确保为产品的按时、高质量、按预算交付和维护选择合适的技术和人员配置
指导和发展团队,提升他们在新技术方面的技能,并采用新工具来提供最先进的用户体验

AI 洞察

优缺点分析

优点

  • Work at the intersection of cutting-edge technology (AI/Data) and a high-impact industry (Healthcare/Life Sciences), contributing directly to drug discovery.
  • Lead a team within a global, multicultural organization (Merck) known for innovation, offering significant resources and a strong platform for career development.
  • Gain deep expertise in both technical leadership and the specific domain of data visualization and front-end systems for complex scientific applications.
  • High autonomy in decision-making within an agile team structure, allowing for creative problem-solving and influence over technical direction.
  • High responsibility for both team performance and the delivery of critical R&D products, which can involve significant pressure to meet timelines and quality standards.
  • The need to stay current with rapidly evolving front-end technologies while also managing team development and cross-functional collaboration.
  • Navigating the complexities of a large, global corporation and aligning the team's work with broader business and scientific objectives.
  • This role is ideal for an experienced front-end technical leader who is passionate about applying their skills to meaningful scientific challenges and enjoys mentoring teams in a collaborative, global environment.

缺点 / 挑战

暂无明显挑战项

角色解读

  • Within the company, this role can lead to broader engineering leadership positions, such as Head of Engineering or Director of Technology, overseeing larger portfolios.
  • In the industry, this experience positions you for senior technical leadership roles in other life sciences, healthcare, or tech companies focusing on data-driven products.
  • The role also offers a path towards strategic product or platform architecture roles, given the deep involvement with data and AI solutions.
  • Lead a team of 6 front-end engineers to develop innovative solutions for data and AI products, ensuring high-quality delivery and maintenance.
  • Collaborate cross-functionally with product, architecture, and business teams to make strategic decisions on technology and staffing.
  • Oversee the entire front-end system architecture, focusing on security, scalability, performance, and user experience.
  • Mentor and upskill the team on new technologies and tools to maintain cutting-edge capabilities.
  • Deep technical expertise in modern front-end frameworks (React, Next.js) and dashboarding tools (Tableau, Streamlit, R/Shiny).
  • Strong leadership and stakeholder management skills, with proven experience in guiding technical teams and collaborating across departments.
  • Comprehensive understanding of data systems, including modeling, storage (warehouses, databases, lakes), and governance principles.
  • Ability to establish and enforce best practices for coding standards, testing, and deployment processes.

申请策略

  • Research Merck's Healthcare R&D division and its focus areas (Oncology, Neurology, Fertility) to tailor your application and show genuine interest in their mission.
  • Emphasize your alignment with the company's stated values of curiosity, innovation, and inclusion in your cover letter or initial communications.
  • Quantify your 10+ years of front-end experience, specifically highlighting projects involving data visualization, dashboards (Tableau), or complex applications (React/Next.js).
  • Detail your 3+ years of team leadership experience, including team size, mentoring initiatives, and how you improved processes or outcomes.
  • Showcase specific examples of overseeing system architecture, emphasizing decisions made for scalability, security, and performance.
  • Include any experience in the healthcare, life sciences, or data/AI product domains to demonstrate relevant industry understanding.
  • Brush up on the specific technologies mentioned (React, Next.js ecosystem, Tableau, Streamlit/R Shiny) and be prepared to discuss their application in data-heavy contexts.
  • Review core principles of data modeling, data governance, and modern data storage architectures to speak confidently about the backend systems your front-end will interact with.

面试指南

  • Use the STAR method (Situation, Task, Action, Result) to structure your answers, providing concrete examples with measurable outcomes.
  • For technical and leadership questions, balance discussing the 'what' (the decision or action) with the 'why' (the reasoning and trade-offs considered).
  • Connect your past experiences directly to the responsibilities of this role, showing how your skills are transferable to their specific context in healthcare R&D.
  • 'Walk us through your experience leading a front-end team on a complex data visualization or dashboard project. What were the challenges and how did you overcome them?'
  • 'How do you approach making technology stack decisions (e.g., choosing between React, Next.js, or a dashboarding tool) for a new product?'
  • 'Describe a time you had to mentor a team member on a new technology or improve the team's coding standards. What was your process and the outcome?'
  • 'How do you ensure the front-end systems you architect are scalable, secure, and maintainable, especially when dealing with large datasets?'
  • 'Tell us about a time you successfully managed stakeholders from non-technical teams (e.g., product, business) to align on project goals and delivery.'

职位点评

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