Sr Biomedical Scientific Data Evaluation Expert

Job Summary

Senior Biomedical Scientific Data Evaluation Expert

Do you have experience assessing the quality of scientific data and AI outputs in drug discovery or development, and recommending improvements

Can you collaborate with stakeholders of multiple teams to turn customer needs into clear scientific requirements and quality standards

Role Overview

About our Team

We are a diverse and dedicated team working on life-sciences data and digital solutions. We maintain services that support research across drug discovery, development, safety, and healthcare. 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 independently lead scientific content initiatives for life-sciences information products, using your expertise to define customer needs, product priorities, success criteria, and quality standards. You will collaborate with product leaders and senior stakeholders across drug discovery, development, and regulatory information.

This role involves close collaboration with colleagues in European time zones and may require occasional travel for meetings or workshops.

Responsibilities

• Use scientific expertise to develop customer-focused success criteria for agentic AI solutions.
• Establish the scope and metrics for scientific evaluations across drug discovery and development.
• Convert scientific requirements into content priorities, quality standards, and clear specifications.
• Analyze and present findings as actionable recommendations.
• Partner with product leaders and stakeholders to align priorities and guide informed product decisions.

Requirements

• Advanced degree or equivalent experience in pharmacoinformatics, pharmacology, pharmaceutical sciences, bioinformatics, medicinal chemistry, or a related field.
• Strong understanding of scientific data-quality standards and methods for assessing agentic AI outputs.
• Experience working with large scientific databases, taxonomies, and ontologies.
• Proven experience working with stakeholders to understand customer needs and define product criteria
• Solid technical knowledge of agentic AI systems, APIs, GitHub, or similar tools.
• Exceptional written and verbal communication skills.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.