Scientist III, Chemistry

Designed and authored domain-specific chemistry prompts and golden responses for supervised fine-tuning and QA evaluation of large language models.

• Developed structured rubrics to assess instruction-following, reasoning depth, and accuracy in organic and medicinal chemistry tasks.
• Collaborated with AI evaluation teams to identify model failure modes and improve data quality for scientific reasoning.
• Contributed to large-scale datasets supporting LLM training in chemical synthesis, reaction mechanisms, and structure–property relationships

• Designed and screened novel cleavable/non-cleavable ADC linkers to enhance tumor selectivity.
• Contributed to antibody functionalization strategies enabling high-DAR ADCs.
• Partnered with biology teams to deliver ADC candidates for in vivo evaluation.

• Applied synthetic and chemical biology approaches to study protein–ligand interactions.