About the Role
The role involves guiding AI systems to understand biological concepts by curating training data, validating model outputs, and refining algorithms based on scientific accuracy and real-world applicability.
Responsibilities
- Develop and annotate training datasets grounded in biological principles
- Evaluate AI-generated responses for scientific correctness in life sciences
- Collaborate with engineers to improve model performance on biology-related tasks
- Identify gaps in AI understanding of biological systems
- Refine natural language processing models using domain expertise
- Ensure consistency between AI outputs and established biological knowledge
- Support the creation of evaluation metrics for biology-focused AI tasks
- Contribute to the design of experiments that test model accuracy
- Review scientific literature to inform training content
- Assist in defining ontologies and taxonomies relevant to biological domains
- Train non-specialist team members on core biology concepts
- Monitor model behavior for factual drift in biological reasoning
- Provide feedback on user interactions involving biology topics
- Help prioritize biological subdomains for model enhancement
- Maintain documentation of training processes and knowledge sources
- Participate in interdisciplinary meetings to align AI goals with scientific validity
- Suggest improvements to data pipelines based on domain insights
- Verify the accuracy of biological entities extracted by models
- Support quality assurance for biology-related AI features
- Contribute to versioning and updating of training datasets
- Work with version-controlled repositories for training materials
- Assess model uncertainty in biological predictions
- Advocate for scientific rigor in AI development workflows
- Ensure ethical handling of biological data in training sets
- Stay current with advances in computational biology and related fields
Compensation
Competitive salary with performance-based incentives
Work Arrangement
Hybrid work model with flexibility for remote work within Germany
Team
Collaborative team of AI specialists and life sciences experts
Project Focus
Initial projects will center on enhancing AI understanding of cellular processes, genetic regulation, and biochemical pathways using curated datasets from peer-reviewed sources.
Work Environment
Dynamic workspace emphasizing scientific accuracy, iterative development, and close collaboration between domain experts and AI engineers.
Available for qualified candidates requiring work authorization
