出海雷达

0926-IND-185:高级数据分析师

0926-IND-185 - Lead Data Analyst

其他限定地区(需当地身份)
公司Elsevier
薪资未公开
工作地点India
地域资格限定地区(需当地身份)
时区要求日间重叠约 6 小时,基本正常作息
用工类型Full Time
发布时间15 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 India 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

团队负责人,科学发现平台
带领一支由科学专家组成的团队,负责确保 Reaxys、Embase 以及未来 AI 驱动的生命科学解决方案中搜索和 API 体验的质量、可发现性和客户相关性。

关于我们团队:
我们是一个多元化、协作型的团队,结合了生命科学、数据、产品和科技的专业知识。
我们的使命是确保科学内容准确、组织良好且值得信赖。我们打造人们可以依赖的 AI 驱动产品。我们关注数据完整性、可靠洞察力、团队合作和跨学科的持续学习。

关于该职位:
您将领导一个由 5-10 名经验丰富的数据分析师组成的团队,支持多种生命科学解决方案,包括 Reaxys 和 Embase。我们的工作位于科学领域专业知识、高级数据分析和 AI 驱动技术采用的交汇点。

职责:

  • 带领科学领域专家(SME)评估 Reaxys 和 Embase 的搜索和 API 质量。
  • 通过专家对数据模型和流程的输入来提升可发现性。
  • 监督以客户为中心的质量保证、测试和功能发布。
  • 对意外的搜索和 API 变化提供专家见解并进行升级。
  • 提供使用洞察和建议,推动数据驱动的平台改进。
  • 在产品开发和交付过程中代表专家客户的观点。
  • 设定并倡导用于评估搜索和 API 输出的质量标准,确保结果满足专家客户期望的水平。

要求:

  • 生物信息学、化学信息学/化学、生物化学或相关领域的硕士/博士学历
  • 使用 Python(Jupyter Notebook)和 Bash 进行数据分析和脚本编写的能力
  • 协作意识强,积极主动地分享知识和跨职能团队合作
  • 有参与或验证 AI/生成式 AI 测试框架和分析流程的经验
  • 有使用数据库(如 PostgreSQL 或其他关系型/分析型数据库系统)的实际经验
  • 有在云平台(如 AWS、Azure)上处理大型数据集的经验
  • 有推动项目前进、协调利益相关者、记录工作和展示结果的经验。

以适合你的方式工作:
我们在整个公司推广健康的工作与生活平衡。我们提供各种福利计划、共享育儿假、学习资助和休假制度,帮助你实现更好的工作状态。

查看英文原文

Team Lead, Scientific Discovery Platforms
Lead a team of scientific experts responsible for ensuring the quality, discoverability, and customer relevance of search and API experiences across Reaxys, Embase, and future AI-enabled life sciences solutions.

About our team:-
We are a diverse, collaborative team combining Life Sciences, Data, Product, and Technology expertise.
Our mission is to ensure scientific content is accurate, well organized, and trustworthy. We build AI-driven products people can rely on. We focus on data integrity, reliable insights, teamwork, and continuous learning across disciplines.

About the Role:-
You will lead a team of 5-10 experienced Data Analysts supporting multiple Life Science solutions, including Reaxys and Embase. Our work operates at the intersection of scientific domain expertise, advanced data analysis, and the adoption of AI-enabled technologies.

Responsibilities:-

  • Lead scientific subject matter experts (SMEs) evaluating Reaxys and Embase search and API quality.
  • Improve discoverability through expert input on data models and pipelines.
  • Oversee customer-focused quality assurance, testing, and feature releases.
  • Escalate unexpected search and API changes with expert insight.
  • Provide usage insights and recommendations for data-driven platform improvements.
  • Represent expert customer perspectives throughout product development and delivery.
  • Set and champion the quality standards by which search and API outputs are judged, ensuring results meet the bar expert customers expect.

Requirements:-

  • Academic background (Masters/PhD) in Bioinformatics, Cheminformatic/Chemistry Biochemistry or allied fields
  • Strong data analysis and scripting skills using Python (Jupyter Notebook) and Bash
  • Collaborative mindset with a proactive approach to knowledge sharing and cross-functional teamwork
  • Demonstrated experience contributing to or validating AI/GenAI-based testing frameworks and analytical workflows
  • Hands-on experience working with databases (e.g., PostgreSQL or other relational/analytical database systems)
  • Experience working with large datasets on cloud platforms (e.g. AWS, Azure)
  • Experience driving projects forward, coordinating stakeholders, documenting work, and presenting results.

Work in a Way that Works for You:-
We promote a healthy work-life balance across our organization. We offer various well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.

Working for You:-
We understand that your well-being and happiness are essential to a successful career. Here are some benefits we offer:

  • Comprehensive Health Insurance covers you and your immediate family.
  • Enhanced Health Insurance Options with competitive rates.
  • Group Life Insurance ensuring financial security for your loved ones.
  • Group Accident Insurance offering extra protection.
  • Flexible Working Arrangements to achieve a balanced work-life schedule.
  • Employee Assistance Program providing support for personal and work-related challenges.
  • Medical Screening prioritizing your well-being.
  • Modern Family Benefits including parental and adoption support.
  • Long-Service Awards recognizing dedication and commitment.
  • Celebratory New Baby Gift.
  • Subsidized Meals (location-specific).
  • Various Paid Time Off options including Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
  • Free Transport for home-office-home commutes (location-specific).

About the Business:-
A global leader in information and analytics, we assist researchers and healthcare professionals in advancing science and improving health outcomes for society’s benefit. Leveraging our publishing heritage, we combine quality information and extensive data sets with analytics to support visionary science and research, health education, and interactive learning. At Elsevier, your work contributes to addressing the world’s grand challenges and fostering a sustainable future. We utilize innovative technologies to support science and healthcare, partnering for a better world.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
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