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Senior Biomedical AI Evaluation Expert (m/f/x)

Stellenbeschreibung:

Senior Biomedical AI Evaluation Expert – Elsevier

Location: Frankfurt, Germany or Amsterdam, Netherlands (hybrid)

About Our Team

We are a diverse and dedicated team working on life sciences data and digital solutions. Our mission is to ensure that scientific content is accurately represented and used in AI-driven products that support better research and health outcomes. We place strong emphasis on data quality, collaboration, and continuous learning across disciplines.

About the Role

Elsevier is looking for a Senior Biomedical AI Evaluation Expert with a strong chemistry background to join our Evaluation Team. You will play a crucial role in managing evaluations for GenAI products for life sciences, supporting the design, execution, and analysis of evaluation of solutions that support pharmaceutical companies with safety and efficacy decisions. You will be an integral part of product development through live-production and release-readiness evaluation of GenAI products. You will work closely and in partnership with stakeholder groups across Corporate Markets—including Content, Product, Data Science, Technology, Commercial, and Marketing—to support targeted business outcomes in addition with colleagues in other groups across Elsevier. Through structured evaluation and scientific judgment, you will help ensure that our AI solutions reflect real-world scientific understanding. This role will report into the Senior Manager AI Evaluation, Life Sciences.

Key Responsibilities

  • Apply scientific expertise to design customer-focused success criteria for AI solutions.
  • Use AI and human review to prepare evaluation sets specific to product use cases.
  • Manage and participate in expert human and automated evaluation of GenAI output.
  • Support development of automated evaluation approaches through human SME validation.
  • Manage SME evaluators to score GenAI output through formal evaluation and user feedback.
  • Align evaluation with Operations, Product, and Marketing delivery team strategies.
  • Translate evaluation findings into clear, documented recommendations to operations and product stakeholders.

Required Qualifications

  • Strong academic background in life sciences (e.g., bioinformatics, cheminformatics, biochemistry, medicinal chemistry, pharmacology, or similar).
  • Experience evaluating or validating AI or algorithmic outputs using scientific data.
  • Experience applying scientific expertise in structured data or content environments (e.g., databases, taxonomies, or similar systems).
  • Solid technical understanding (e.g., data flows, APIs, GitHub).
  • Ability to work well in a matrixed organization and on cross-functional teams.
  • Strong management and communication skills to expert audience.

Competencies

  • Collaboration and teamwork
  • Customer focus
  • Management
  • Strong critical thinking and analytical skills
  • Communication and presentation skills
  • Results-oriented self-starter with sense of urgency
  • Effectively manages day-to-day issues and problems without intervention

Work-Life Balance

We promote a healthy work/life balance across the organisation, offering wellbeing initiatives, shared parental leave, study assistance, and sabbaticals to support both immediate responsibilities and long-term goals.

Equal Opportunity Employer

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.

Compensation

Primary Location Base Pay Range: Germany – Frankfurt (Baseler Platz) €62,200 – €103,500. If performed in the Netherlands – Amsterdam (Radarweg) €59,300 – €98,800. This job may be subject to a collective labour agreement in the Netherlands. Please consult with the hiring team for further details.

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Stelleninformationen

  • Veröffentlichungsdatum:

    24 Jul 2026
  • Standort:

    Frankfurt

    Einsatzort:

    Karlsruhe
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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