Lead Data Analyst ( Life Science)

RELX India (Pvt) Ltd Els div Company; Bengaluru; Sur place; INR 1 800 000 - 3 200 000; Plein temps

Avantages offerts par ce poste

Health insurance

Life insurance

Flexible working

Parental leave

Medical screening

Long-service awards

Paid time off

Transport reimbursement

Résumé du poste

Elsevier, a global information analytics leader, seeks a Team Lead for Scientific Discovery Platforms in Bengaluru. You will head a team of 5–10 data analysts supporting Reaxys, Embase, and future AI-enabled life sciences solutions, ensuring data quality and customer relevance across search and API experiences.

You will guide data models, pipelines, and QA processes, collaborating with Life Sciences, Data, Product, and Tech teams to deliver robust, scalable insights and trustworthy scientific

Qualifications

• Masters/PhD in Bioinformatics or Cheminformatics or allied fields.
• Strong data analysis and scripting in Python (Jupyter Notebook) and Bash.
• Collaborative mindset with cross-functional teamwork.
• Experience contributing to or validating AI/GenAI-based testing frameworks and analytics workflows.
• Hands-on experience with databases (e.g. PostgreSQL or other relational/analytical database systems).
• Experience with cloud platforms (AWS, Azure).
• Experience driving projects forward, coordinating stakeholders, documenting work, and presenting results.

Responsabilités

• Lead scientific SMEs evaluating Reaxys and Embase search and API quality.
• Improve discoverability through data models and pipelines guidance.
• Oversee customer-focused QA, testing, and feature releases.
• Escalate unexpected search and API changes with expert input.
• Provide usage insights and recommendations for data-driven platform improvements.
• Represent expert customer perspectives throughout product development and delivery.
• Set and champion quality standards for search and API outputs.

Connaissances

Data analysis

Python

Bash

Cross-functional teamwork

GenAI testing

PostgreSQL

AWS

Azure

Project management

Stakeholder coordination

Formation

Masters/PhD in Bioinformatics

Bioinformatics

Cheminformatics

Biochemistry

Outils

Jupyter Notebook

Description du poste

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.

Benefits

• 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.

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.

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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.