Bioinformatics Expert – AI | $43/hr Remote

Crossing Hurdles; Turkey; Remote; TRY 2,507,000 - 3,320,000; Full time

Job summary

Crossing Hurdles is seeking a Computational Genomics Expert AI for a remote contractor assignment. You will design challenging genomics and bioinformatics tasks for AI evaluation, using Python and bioinformatics libraries to create multi-step analyses and reference outputs.

The role requires a PhD or equivalent research experience, strong Python skills, Linux proficiency, and deep knowledge of genomics workflows. Remote work with PST overlap is expected, full-time at 40 hours/week.

Qualifications

• PhD, postdoctoral experience, or equivalent research experience in Bioinformatics, Computational Biology, Genomics, Computational Genetics, or closely related discipline.
• Strong hands-on programming experience in Python.
• Experience analyzing biological sequence or genomics datasets.
• Comfortable working in Linux/command-line computational environments.
• Strong understanding of computational genomics and bioinformatics workflows.

Responsibilities

• Design challenging tasks in computational genomics and bioinformatics for AI evaluation.
• Create realistic tasks involving biological sequence and genomics datasets.
• Develop multi-step analyses using Python, command-line tools, and bioinformatics libraries.
• Create reference solutions, expected outputs, and objectively verifiable ground truths.
• Validate tasks for scientific correctness, reproducibility, and appropriate difficulty.

Skills

Python

Genomics workflows

Education

PhD or equivalent research in Bioinformatics/Genomics

Tools

Linux/CLI

Job description

Position: Computational Genomics Expert AI

Type: Contractor Assignment

Compensation: $43 per hour

Location: Remote

Commitment: Full-time (40 hours/week), with 4 hours of PST overlap per day

Role Responsibilities

• Design challenging tasks in computational genomics and bioinformatics for AI evaluation.
• Create realistic tasks involving biological sequence and genomics datasets.
• Develop multi-step analyses using Python, command-line tools, and bioinformatics libraries.
• Create reference solutions, expected outputs, and objectively verifiable ground truths.
• Validate tasks for scientific correctness, reproducibility, and appropriate difficulty.

Requirements

• Ph.D., postdoctoral experience, or equivalent research experience in Bioinformatics, Computational Biology, Genomics, Computational Genetics, or a closely related discipline.
• Strong hands-on programming experience in Python.
• Experience analyzing biological sequence or genomics datasets.
• Comfortable working in Linux/command-line computational environments.
• Strong understanding of computational genomics and bioinformatics workflows.