Drug Discovery Scientist

Mercor; India; A distancia; INR 7.761.000 - 11.642.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote-friendly role

Weekly payments via Stripe or Wise

Claude Max subscription reimbursed

Referral reward up to $360

Descripción de la vacante

Mercor is seeking a Drug Discovery Scientist for an evaluation framework project. Work remotely on frontier AI models in drug research, crafting realistic, source-grounded problems that require genuine reasoning to solve.

You will design challenges, assemble data rooms, and write graders, with weekly payments and a fully remote setup. PhD or equivalent in related fields strongly preferred.

Formación

• PhD or equivalent industry track record.
• Ability to pose a defendable, rigorous research problem.
• Comfortable judging reasoning quality, not just final answers.

Responsabilidades

• Design the challenge — identify the hidden basin and forcing chain.
• Build the world — assemble a data room from real, source-grounded data.
• Write the grader — a scoring document for memo quality.
• Validate it — run verification and calibration.
• Revise it — you own rework if requested.

Conocimientos

Mechanistic enzymology

Structure-guided peptide design

Antibody design

Fragment-based discovery

Medicinal chemistry

Educación

PhD or equivalent in relevant field

Herramientas

Claude Code

Claude Max

Descripción del empleo

Drug Discovery Scientist

Company: Mercor

Compensation: $60-$90 per hour

Commitment: Hourly contract

Location: Remote

Referral reward: Earn up to $360 per successful referral.

Referral Link: https://t.mercor.com/pL68h

About the role

This is an evaluation framework for frontier AI models in drug research and development. Domain experts write realistic research problems wrapped around messy evidence worlds. The model works offline in a sandbox with open-source scientific tooling, receiving incomplete, indirect and sometimes misleading data, and must reach a defensible conclusion. The answer is present in the evidence but never stated. Your job is to build a research problem so realistic and well-constructed that the model has to genuinely reason to solve it — it can't pattern-match or look the answer up.

What you'll deliver

• Design the challenge — identify the hidden basin and the forcing chain that makes one conclusion inevitable.
• Build the world — assemble a data room from real, source-grounded data. Every decisive value traces to a real source.
• Write the grader — a grading document that scores a submitted memo on substance, not style or method.
• Validate it — run verification and calibration before submission.
• Revise it — you own the rework if a reviewer requests changes.

Who we're looking for

• Working expertise in mechanistic enzymology, structure-guided peptide or antibody design, fragment-based discovery, or structure-based medicinal chemistry — PhD or equivalent industry track record.
• You can pose a problem whose answer you can defend rigorously, but which a strong solver cannot shortcut.
• Comfortable judging reasoning quality, not just final answers.

Commitment

Minimum 20 hours per week, up to 40.

Tooling

Work happens in a browser-based studio plus Claude Code. A Claude Max subscription is required and is fully reimbursed.

Contract and Payment Terms

You will be engaged as an independent contractor. This is a fully remote role that can be completed on your own schedule. Projects can be extended, shortened, or concluded early depending on needs and performance. Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution. Payments are weekly on Stripe or Wise based on services rendered.

Please note: We are unable to support H1-B or STEM OPT candidates at this time.

About Mercor

Mercor partners with leading AI labs and enterprises to train frontier models using human expertise. You will work on projects that focus on training and enhancing AI systems. You will be paid competitively, collaborate with leading researchers, and help shape the next generation of AI systems in your area of expertise.