Senior Biomedical AI Evaluation Expert

Jobtailor; Frankfurt; Vor Ort; EUR 80.000 - 110.000; Vollzeit

Zusammenfassung

Jobtailor in Germany seeks a dedicated professional to drive AI evaluation in life sciences, coordinating expert reviews and automated methods. You will design evaluation criteria, guide cross-functional teams, and translate findings into actionable recommendations for stakeholders.

The role emphasizes collaboration across Operations, Product, and Marketing, with a focus on GenAI quality and reliability in real-world use cases.

Qualifikationen

• Strong scientific background in life sciences and related fields.
• Experience evaluating AI or algorithmic outputs with scientific data.
• Experience applying scientific methods to structured data environments.
• Solid understanding of data flows, APIs, and GitHub.
• Ability to work in a matrixed, cross-functional team.

Aufgaben

• Apply scientific expertise to design success criteria for AI solutions
• Use AI and human review to prepare evaluation sets for product use cases
• Manage and participate in expert human and automated evaluation of GenAI output
• Support development of automated evaluation approaches through 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

Kenntnisse

Life sciences know-how

AI output evaluation

Data flow understanding

Team leadership

Cross-functional collaboration

Ausbildung

Master's/Bachelor in Life Sciences

Tools

APIs

GitHub

Jobbeschreibung

• 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

Requirements

• 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

Core Competencies

Demonstrates expertise in evaluating AI outputs through scientific methodologies, with a strong foundation in life sciences and the ability to translate findings into actionable recommendations for stakeholders. Proficient in managing cross-functional teams and aligning evaluation strategies with organizational goals.

Highest-signal resume keywords

• Life Sciences Expertise
• AI Output Evaluation
• Data Flow Understanding
• Management Skills
• Cross-Functional Collaboration

ATS Optimization Keywords

Hard Skills

• Bioinformatics
• Cheminformatics
• Biochemistry
• Medicinal Chemistry
• Pharmacology
• AI Evaluation
• Structured Data Application
• Algorithm Validation
• Database Management
• Taxonomy Development

Soft Skills

• Communication Skills
• Team Management

Industry Keywords

• GenAI
• Evaluation Criteria
• Human Review
• Automated Evaluation
• SME Validation
• User Feedback

Tools & Technologies

• APIs
• GitHub