Level

RELX

Lead Data Analyst ( Life Science)

RELX is hiring a Lead Data Analyst ( Life Science). Level rates it ; you can apply on RELX.

Level's read on this job

  • On Level's scale, this data analyst role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Python, Jupyter Notebook and Bash among its tools and skills.
  • Level classes it as a lead role.
  • RELX has 809 other open roles on Level.

AI in this role

Lead a team of data analysts evaluating search and API quality for AI-enabled life science platforms and GenAI testing frameworks.

pythonjupyter-notebookbashpostgresqlawsazure
data-analysisbioinformaticsgenaiquality-assurancemachine-learning

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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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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How we rate this

Lead Data Analyst ( Life Science) at RELX rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisBioinformaticsGenAIQuality AssuranceMachine learningPythonJupyter NotebookBash

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$110k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where bioinformatics was part of your work. What did you do?
  3. Tell me about a project where genai was part of your work. What did you do?
  4. Tell me about a project where quality assurance was part of your work. What did you do?
  5. Tell me about a project where machine learning was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analysis, Bioinformatics, GenAI, Quality Assurance, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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