Computational Chemistry Expert - PhD
- Status
- Open
- Remote policy
- Remote
- Employment type
- Not stated
- Salary
- Not stated
- Categories
- Computational-Chemistry, Electronic-Structure, AI-Research, Scientific-Computing, Quantum-Chemistry, Computational-Chemistry-Specialist, Computational-Chemist, Computational-Chemistry-Data-Scientist, Computational-Materials-Scientist, Chemistry-Expert
- Source
- himalayas
- First observed
- 2026-08-13 09:51 UTC
- Last seen
- 2026-08-13 13:51 UTC
- Source claims posted
- 2026-08-13 09:19 UTC
- Consecutive misses
- 8 of 10
What the posting says
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: Computational Chemistry & Electronic Structure Expert
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week
Role Responsibilities
Design challenging computational problems in Computational Chemistry & Electronic Structure using PySCF for quantum chemistry calculations.
Develop problems requiring strategic planning for AI to uncover hidden information through simulations and experiments.
Test and refine problems against state-of-the-art AI models to achieve target difficulty.
Collaborate with AI research teams to ensure problems align with real scientific workflows.
Work independently to create problems that challenge AI reasoning beyond surface-level pattern matching.
Qualifications
Must-Have
Graduate-level training in a relevant STEM field (MS, PhD, or equivalent research experience).
Proven proficiency with scientific software libraries through research publications or professional work.
Strong Python skills for writing problem setups and solution validators.
Ability to work independently and refine designs based on feedback.
Comfortable in a Linux/terminal environment with remote compute sandboxes.
Preferred
Experience across multiple domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific teaching or exam/problem-set design.
Experience with computational reproducibility and containerized environments.
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
Quality
- x Salary range stated weight 35%
- + Remote policy stated weight 20%
- + Location stated weight 15%
- + Organisation stated weight 15%
- + Publication date stated weight 15%
Based on 11 observation(s).
- + Days open - fineOpen for 0 days so far
- + Reopen count - fineNever reopened
- + Salary range removed after publication - fineSalary range has not been removed since publication
- + Salary range narrowed - fineSalary range has not narrowed since publication
- + Missing/reappear cycles - fineNo missing-then-reappeared cycles observed
Timeline
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