Scientific Expert

About us:

We are a leading data engineering company serving over 2,000 customers worldwide. Our clients include four of the five largest global technology companies.

With a global workforce of over 5,000 employees and presence in multiple locations across the globe, we combine advanced technologies with subject matter expertise to unlock the full potential of artificial intelligence.

About the Role:

We are seeking highly analytical scientific experts to support our AI training and model evaluation initiatives. This role is ideal for PhDs who have a passion for research, critical thinking, and applying domain-specific knowledge to cutting-edge AI applications.

You will contribute to the development and improvement of AI systems by creating, curating, and evaluating scientific datasets, validating model outputs, and providing domain-specific insights.

Key Responsibilities:

• Create, review, or annotate high-quality scientific content and datasets to train or evaluate AI systems.
• Perform quality assurance on model-generated outputs for scientific accuracy, clarity, and alignment with domain knowledge.
• Analyze and interpret AI behavior in the context of domain-specific tasks and error patterns.

Required Skills:

• PhD in Biology
• Strong analytical skills and ability to apply theoretical knowledge to real-world datasets and AI systems.
• Familiarity with scientific writing standards, peer-reviewed publishing, or lab-based research methodology.
• Attention to detail and ability to critically evaluate scientific content for accuracy and clarity.

Nice to Have:

• Experience working with large datasets or scientific databases.
• Knowledge of machine learning pipelines, NLP, or LLMs.