Senior Biomedical Scientific Data Quality Expert

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.

You will independently drive detailed scientific content quality and validation activities for life-sciences information products. Your focus will be interpreting biomedical and chemical information, analyzing outputs from very large scientific datasets, and assessing the accuracy, consistency, completeness, and relevance of content. You will help define quality standards, identify root causes, and provide evidence-based recommendations to product, data, and engineering teams.

• →Define the scope and approach for scientific content quality and validation projects.
• →Design representative, edge-case, and challenge test sets with traceable expected outputs.
• →Conduct manual and automated scientific evaluations of Agentic AI outputs.
• →Analyze outputs from very large scientific datasets and identify systematic error patterns.
• →Translate evaluation findings into clear, documented recommendations for cross-functional teams.

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.

• Advanced degree or equivalent experience in pharmacoinformatics, pharmacology, pharmaceutical sciences, bioinformatics, medicinal chemistry, or a related discipline.
• Strong knowledge of scientific data-quality standards and methods for evaluating Agentic AI outputs.
• Experience with large scientific databases, taxonomies, and ontologies.
• Strong analytical, documentation, and attention-to-detail skills.
• Sound technical understanding of agentic AI systems, APIs, GitHub, or comparable tools.
• Excellent written and verbal communication skills.

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