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.
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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.
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Skills Required
- Master’s or PhD in Bioinformatics, Cheminformatics, Chemistry, Biochemistry, or a related field
- Strong data analysis and scripting skills using Python, Jupyter Notebook, and Bash
- Collaborative mindset with proactive knowledge sharing and cross-functional teamwork
- Experience contributing to or validating AI or generative AI testing frameworks and analytical workflows
- Hands-on experience with databases such as PostgreSQL or other relational or analytical database systems
- Experience working with large datasets on cloud platforms such as AWS or Azure
- Experience driving projects forward, coordinating stakeholders, documenting work, and presenting results
Elsevier Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Elsevier and has not been reviewed or approved by Elsevier.
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Leave & Time Off Breadth — Feedback suggests paid time off spans vacation, holidays, sick days, bereavement, military leave, and volunteer time. Family-related leave options are also emphasized as part of the package.
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Healthcare Strength — Feedback suggests medical, dental, vision, life insurance, wellness initiatives, and an EAP form a comprehensive health offering. Gym support and wellbeing hubs reinforce an ongoing health and wellness focus.
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Retirement Support — Feedback suggests retirement programs include a 401(k)/retirement plan and pension options, with long-term savings vehicles such as an employee stock purchase plan also available. These elements contribute to a sense of financial security beyond base pay.
Elsevier Insights
What We Do
Elsevier is a world-leading provider of information solutions that enhance the performance of science, health, and technology professionals, empowering them to make better decisions, and deliver better care. Because informed decisions lead to better outcomes, Elsevier is a leader in information and analytics for customers across the global research and health ecosystems. Elsevier helps researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. We do this by facilitating insights and critical decision-making for customers across the global research and health ecosystems.
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