top of page
< Back

Preclinical R&D Expert – ADC & Bispecifics

$60–$100/h

Remote

Role overview

Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery. They're extending their platform into new areas of pharmaceutical development and are looking for hands-on ADC and/or bispecific experts to help guide what they build.

Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic — and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models.

In this role, you'll:

- 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 (target/modality selection, optimization, trade-offs, risk)

- Help define structure and quality standards for the client's dataset pipeline

- Participate in expert discussions, interviews, and research engagements

You're a strong fit if you:

- Have 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 — Must Have

- Have direct experience with ADCs and/or bispecific (or multispecific) antibodies — Must Have

- 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 — Must Have

- Have 5+ years of relevant industry R&D experience (flexible based on depth)

- Have taken a program through lead optimization or IND-enabling/preclinical development (nice to have)

- Have experience at mid-sized, emerging, or resource-constrained biotech — ideally currently outside the top-20 pharmaceutical companies (nice to have)

This is a hands-on preclinical R&D role — likely not the right fit if your work is mainly CRO/CDMO services, academic-only, QC/analytical-only, clinical-development-only, diagnostics, or regulatory/medical-writing.

Your work will directly feed into the models reshaping how medicines are discovered, helping intelligent systems reason about real-world pharmaceutical R&D.

Here are more details about the role:

- You will interface directly with the client team.

- This is an ongoing, part-time engagement of roughly 10 hours per week.

- Seniority welcome from individual contributor through Director.

Similar jobs

Adolescent Suicide & Self-Harm Specialist · Micro1 · $45–$95/h · Remote

Adolescent/Child Safeguarding & Exploitation Specialist · Micro1 · $45–$95/h · Remote

Cardiologist – Clinical Consultant (ATTR Cardiac Amyloidosis) · Mercor · $120–$150/h · United States

You’ll be redirected to our partner’s application page

AI TRAINING OPPORTUNITY

bottom of page
Sporterer
OPEN OPPORTUNITIES

AI Training Opportunities

Loading opportunities…

Sporterer
Future of work · September 2026

How big is the remote / hybrid opportunity?

Remote work is already huge — but the bigger story may be the hundreds of millions of jobs that could still move beyond geography.

Global remote and hybrid work opportunity infographic

Remote work already connects millions of people with companies they would never have been able to work for a decade ago. But compared with the size of the global labour market, it may still be early.

The interesting number is not only how many people work remotely today — it is how many roles could plausibly become remote or hybrid next.

The chart above starts with roughly 3.3 billion people employed worldwide. Around 300 million jobs are already remote or hybrid, while an additional pool of roughly 250 million roles could potentially move in that direction as technology, workflows and company culture continue to change.

Skills are becoming more portable

This matters because more work can increasingly be matched to expertise rather than location. AI training and evaluation are a good example: companies need lawyers, engineers, designers, editors, researchers, finance professionals and many other specialists to help improve AI systems.

For workers, that creates access to projects outside their local market. For companies, it expands the talent pool from one city or country to the world.

Explore remote opportunities →