Remote ADC & Bispecific R&D Scientist (Contract)

Mercor; San Francisco (CA); À distance; GBP 89 000 - 148 000; Plein temps

Résumé du poste

Mercor, a remote-first contractor connecting elite talent with AI-driven drug discovery, seeks a Preclinical R&D Expert specialized in ADCs and bispecifics. The role is contract-based with hourly compensation and flexible remote work.

You will review materials, classify data, and advise on development decisions while helping shape data standards for a client’s pipeline and AI models. This is a hands-on, senior position requiring 5+ years in preclinical R&D.

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, trade-offs, and risk.
• Help define structure and quality standards for the client's dataset pipeline.
• Participate in expert discussions, interviews, and research engagements.
• Work independently and asynchronously to meet deadlines while improving AI model performance.

Connaissances

Preclinical R&D

ADC experience

Bispecific antibodies

5+ years experience

Description du poste

Mercor, a remote-first contractor connecting elite talent with AI-driven drug discovery, seeks a Preclinical R&D Expert specialized in ADCs and bispecifics. The role is contract-based with hourly compensation and flexible remote work.

You will review materials, classify data, and advise on development decisions while helping shape data standards for a client’s pipeline and AI models. This is a hands-on, senior position requiring 5+ years in preclinical R&D.