Bioinformatics PhDs job opportunity at Weekday AI.

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Date2025-11-10T10:46:50.224Z bot
Weekday AI Bioinformatics PhDs
Experience: General
Pattern: Full-time
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degreeGeneral
New Zealand

This role is for one of our clients We are collaborating with leading AI research initiatives focused on applying artificial intelligence to complex scientific challenges in bioinformatics . The goal of this project is to build an advanced benchmark to evaluate AI model performance in executing complete bioinformatics workflows — from raw sequencing data to meaningful analysis, guided by natural language prompts. This work requires a combination of bioinformatics expertise , tool proficiency , and strong scientific reasoning . Researchers will help design benchmark tasks grounded in real-world, peer-reviewed scientific data. Why You’re a Great Fit You are an ideal candidate if you: Are a current graduate student (M.S. or Ph.D.) , Postdoctoral Fellow , or Research Scientist in Bioinformatics, Computational Biology, Genomics , or a closely related quantitative discipline. Have hands-on experience using bioinformatics command-line tools . Possess exceptional attention to detail , analytical rigor , and problem-solving skills . Communicate clearly and effectively in both written and verbal forms. Role Highlights Flexible workload: 10–20 hours per week, with the potential to scale up to 40 hours. Fully remote and asynchronous work schedule. Short-term engagement: Initial commitment of 1–2 months, with opportunities for extension based on project needs. Interview process: A brief 15-minute discussion precedes selection, with decisions typically finalized within four days of assessment completion. Eligibility: Applicants must be based in the U.S., UK, Canada, Australia, or New Zealand . Compensation and Legal Details Type: Hourly contract position Payment: Weekly via Stripe Connect Classification: Independent contractor This is an opportunity to contribute directly to cutting-edge research at the intersection of AI and bioinformatics , shaping the next generation of intelligent scientific systems.

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