0926-IND-185 - Lead Data Analyst

Elsevier; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Comprehensive Health Insurance covers您

Enhanced Health Insurance Options with

Group Life Insurance

Group Accident Insurance

Flexible Working Arrangements

Employee Assistance Program

Medical Screening

Modern Family Benefits

Long-Service Awards

Celebratory New Baby Gift

Subsidized Meals

Paid Time Off

Free Transport for home-office-home

Job summary

Elsevier is seeking a Team Lead for Scientific Discovery Platforms in the United States. You will manage a team of Data Analysts supporting Reaxys and Embase, ensuring data quality, discoverability, and customer relevance across search and API experiences.

Your role blends life sciences expertise, data analysis, and AI-enabled technology adoption. The ideal candidate has a strong academic background, hands-on experience with Python/Bash, cloud platforms, and data pipelines, and excels at

Qualifications

• Advanced degree in life sciences or chemistry with data analytics focus.
• Experience with AI/GenAI-based testing frameworks.
• Proven ability to manage data quality and discovery workflows.
• Experience working with databases and cloud platforms.

Responsibilities

• Lead a team of Data Analysts supporting Life Science solutions (Reaxys, Embase).
• Improve discoverability through 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 customer perspectives throughout product development and delivery.
• Set and champion quality standards for search and API outputs.

Skills

Python

Bash

Data analysis

Cross-functional teamwork

AI/GenAI testing

Education

Masters/PhD in Bioinformatics/Cheminformatics/Chemistry Biochemistry

Tools

PostgreSQL

AWS

Azure

Data pipelines

Job description

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.

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