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Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Pharmacologist
Type:Contract
Compensation:$120–$170/hour
Location:Remote
Commitment:20–25 hours/week
Role Responsibilities
- Simulate the pharmacology layer of each data room, including PK and PD datasets, dosing regimens, and bioanalytical reports. Ensure dose rationale and concentration data are clinically plausible.
- Author dose selection rationale, drug concentration and response sections, and interaction content. Design prompts, golden outputs, and rubrics for AI agent evaluation.
- Evaluate exposure-response relationships to reconcile against efficacy and safety outputs.
- Collaborate with teams to ensure pharmacology data withstands expert scrutiny.
- Work independently and asynchronously to meet deadlines and improve AI model performance.
Qualifications
Must-Have
- Location: US or Canada.
- 5+ years of experience required; 10–25 years preferred.
- PharmD, PhD in pharmacology, pharmacokinetics, or a related field, MD, or equivalent.
- 20–25 hours/week availability, minimum; 30+ preferred.
- Experience supporting pre-market (Phases 1-3) programs as a clinical pharmacologist. Hands-on PK/PD work, dose selection, and exposure-response analysis required.
Preferred
- First-in-human experience.
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check:
- For any help or support, reach out to:
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 22 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.