Bioinformatics Specialist

Bioinformatics / Computational Genomics Expert

Engagement: 3-Month Contract

Shift: 8 hours/day — 7:30 PM to 11:30 PM fixed, remaining 4 hours flexible

LinkedIn Profile: Mandatory in CV

Role Overview

We are seeking a Bioinformatics / Computational Genomics Expert to design challenging, agentic genomics tasks and reference solutions for GeneBench Pro. The role involves creating realistic computational biology problems requiring AI agents to interpret biological data, write and execute code, work with scientific files, and produce objectively verifiable outputs.

Key Responsibilities

• Design novel and challenging tasks in computational genomics and bioinformatics.
• Create realistic tasks involving FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, expression data, variant data, and other genomics datasets.
• Design multi-step analyses using Python, command-line tools, and bioinformatics libraries.
• Develop task specifications, datasets, expected outputs, and objectively verifiable ground truths.
• Build expert reference solutions and reproducible computational workflows.
• Validate scientific correctness, solvability, reproducibility, and task difficulty.
• Design grading criteria that distinguish scientifically correct solutions from plausible but incorrect outputs.
• Handle ambiguous, noisy, or messy biological data and identify analytical artifacts.
• Ensure deliverables are well documented and reproducible.
• Incorporate reviewer feedback while maintaining quality and throughput.
• Communicate progress, blockers, and scientific requirements to project leads and reviewers.

Required Qualifications

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

Preferred Skills

• Experience with variant analysis, transcriptomics, sequence analysis, phylogenetics, population genetics, functional genomics, or clinical genomics.
• Familiarity with Biopython, pandas, NumPy, SciPy, samtools, bcftools, BLAST, PLINK, or equivalent tools.
• Experience developing reproducible scientific pipelines.
• Experience evaluating AI/LLM systems on computational scientific tasks.
• Strong understanding of the biological and experimental context behind computational analyses.