
This contract role connects elite molecular biologists with leading AI research labs to train drug discovery models. The position involves verifying protein target assignments against UniProt records, classifying data errors using a structured taxonomy, and proposing corrections to enhance database reliability. Candidates must also document their reasoning with evidence-based notes to support AI pipelines. The role appeals to bench-active scientists seeking flexible, asynchronous work with a commitment of 10 to 20 hours per week. It offers the opportunity to apply deep expertise in pharmacology and biochemistry to high-impact projects while working remotely from anywhere.

















