What the work actually involves

You will spend most of your time reading technical material from real ADC and bispecific programs — DAR and linker-payload data, conjugation and stability results, antibody engineering reports, in vivo efficacy and tolerability packages, PK/PD and tox summaries — and turning your judgment about them into structured labels. That means classifying model outputs as scientifically sound or subtly wrong, annotating why a proposed design choice would fail in practice, and writing the short rationale that teaches the model something. Alongside annotation, you will be asked to weigh in on decision points a program team faces: target and modality selection, payload class, format choice for a bispecific, developability versus potency trade-offs, and what would kill a program before IND.

Because the client is still shaping its dataset pipeline, part of the engagement is definitional. Experts help decide what a good example looks like, which fields matter, where the taxonomy breaks down, and how to score disagreement between reviewers. Expect interviews and recorded expert discussions in addition to task work.

What the platform screens for

  • In-house drug development experience. The screen probes hard for whether you worked on assets your employer owned, at a company that has put programs into the clinic. CRO and CDMO service work, academic-only work, QC/analytical-only, clinical-development-only, diagnostics, and regulatory/medical-writing backgrounds are explicitly out of scope.
  • Real modality depth. General antibody or small-molecule experience is not enough; you need to have worked on ADCs, bispecifics, or multispecifics directly and be able to discuss specific decisions you made or watched fail.
  • A core R&D function. Discovery biology, medicinal chemistry, protein/antibody engineering, computational, in vivo/translational, pharmacology/PK-PD, toxicology, or CMC/formulation.
  • Calibrated judgment. Screeners look for whether you can say what you do not know, and whether your confidence tracks the strength of the underlying data.

Logistics

Fully remote and hourly, largely asynchronous, with scheduled live sessions for interviews and expert discussions. Seniority is welcome from individual contributor through Director, and 5+ years of industry R&D experience is the stated baseline, flexible where depth is strong. Experience at mid-sized, emerging, or resource-constrained biotech — currently outside the top 20 pharma companies — is a stated preference. Weekly commitment is typically part-time and set with the client; the $85–142/hr band reflects rates observed on this listing rather than a guarantee.