Remote Preclinical Scientist – ADC & Bispecifics Expert

mercor; United States; À distance; USD 83 000 - 138 000; Temps partiel

Résumé du poste

Mercor is seeking a Preclinical R&D Expert – ADC & Bispecifics for remote engagement in the United States. The role focuses on reviewing R&D data across ADC and bispecific programs, annotating data to improve model performance, and providing expert input on target selection, optimization, and risk assessment.

You will help define data standards and participate in expert discussions and research engagements, ~10 hours/week involvement.

Qualifications

• Hands-on, non-administrative preclinical R&D experience at a company that develops its own drug assets in-house and has taken programs to the clinic.
• Direct experience with ADCs and/or bispecific (or multispecific) antibodies.
• Work in a core R&D function : discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation.
• 5+ years of relevant industry R&D experience.

Responsabilités

• Review technical materials and real-world R&D data across ADC and/or bispecific programs.
• Label, classify, and annotate scientific data and model outputs to improve model performance.
• Provide expert perspective on key scientific and development decisions, including target/modality selection, optimization, and risk assessment.
• Help define structure and quality standards for the client's dataset pipeline.
• Participate in expert discussions, interviews, and research engagements.

Connaissances

Preclinical R&D experience

ADC / bispecific antibodies

Core R&D function

5+ years R&D experience

Description du poste

Mercor is seeking a Preclinical R&D Expert – ADC & Bispecifics for remote engagement in the United States. The role focuses on reviewing R&D data across ADC and bispecific programs, annotating data to improve model performance, and providing expert input on target selection, optimization, and risk assessment.

You will help define data standards and participate in expert discussions and research engagements, ~10 hours/week involvement.