Computational Biologist - Fully Remote | Upto $100/hr

Mercor · Recruiting & Staffing · Freelance & Talent Marketplaces · Python · 26 days ago

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Remote (India)

Employment

Contractor

First seen by Alion on Oct 2, 2026. Mercor scores A on the Alion truth index.

Overview

Company

Impact

Profile match

Mercor

Mercor is an American company founded in 2023 by three Thiel Fellows that recruits and pays domain experts to produce the training and evaluation data frontier artificial intelligence labs need. Its business shifted quickly from general talent matching to expert data work: as models became competent at ordinary tasks, the scarce input became judgement from practising doctors, lawyers, bankers and engineers, and Mercor sources, vets and pays those people at very large scale. Headquartered in San Francisco and valued in the billions within two years of founding, it pays out enormous sums annually to a contributor network rather than employing them.

mercor.com · HQ: San Francisco, United States · Recruiting & Staffing · Freelance & Talent Marketplaces · AI Training Data & Annotation · 1001-5000 employees · Est. 2023

Backed by General Catalyst, Menlo Ventures, Felicis

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: STEM Computational Scientific Software & Evaluation Design - Pharmacokinetics & Systems Biology
Type:Contract
Compensation:$70–$100/hour
Location:Remote
Commitment:15–20 hours/week

Role Responsibilities

Design challenging computational problems using domain-specific scientific software libraries like libRoadRunner, Tellurium, or SBML-based tools.
Develop problems that test AI systems' ability to implement complex multi-step scientific workflows and strategic reasoning.
Calibrate tasks against state-of-the-art AI models, refining problem design to achieve target difficulty.
Collaborate with AI research teams to improve model outputs and training data quality.
Work independently and asynchronously to meet deadlines and improve AI model performance.

Qualifications

Must-Have

Graduate-level training in a relevant STEM domain (MS, PhD, or equivalent research experience).
Proficiency with at least one listed scientific software library, evidenced by research publications, open-source contributions, or professional work.
Strong Python programming skills for writing problem setups, oracle functions, and solution validators.
Ability to work independently and iterate on problem designs based on calibration feedback.
Comfortable in a Linux/terminal environment with remote compute sandboxes.

Preferred

Experience across multiple listed domains or tools.
Familiarity with benchmark or evaluation design.
Background in scientific pedagogy or exam/problem-set design.
Experience with computational reproducibility and containerized environments.

Application Process (Takes 20–30 mins to complete)

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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

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