Computational Biology Expert - Remote

YO AI Labs; New York (NY); Remote; USD 103,000 - 172,000; Part time

Job summary

1872 AI is seeking a Computational Biology & Bioinformatics Expert (PhD) to support an AI training project. Remote worldwide opportunity for experienced researchers to enhance AI models, workflows, and scientific reasoning in biological data analysis.

Responsibilities include designing workflows, analyzing genomics, transcriptomics, and proteomics data, benchmarking AI models, and documenting reproducible pipelines.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, or related field.
• Hands-on experience with biological data analysis.
• Strong Python/R programming and statistical reasoning.
• Excellent written and verbal English communication.
• Experience with AI/ML-assisted biology, structural biology, or drug discovery preferred.

Responsibilities

• Design and evaluate bioinformatics workflows.
• Analyze genomic, transcriptomic, and proteomic datasets.
• Optimize pipeline configurations and statistical methods.
• Support AI model benchmarking and validation.
• Develop reproducible scientific workflows.
• Document findings and communicate technical insights.

Skills

Computational Biology

Bioinformatics

Genomics

Transcriptomics

Proteomics

Python

R

Nextflow

Snakemake

Linux

Statistics

Documentation

Education

PhD in Bioinformatics

Tools

BLAST

GATK

Samtools

Biopython

Nextflow

Snakemake

Job description

Computational Biology & Bioinformatics Expert (PhD)

Job Type: Contractor
Location: Remote – Worldwide

Job Summary

We are seeking experienced computational biology and bioinformatics experts to support an AI training project focused on biological data analysis, scientific workflows, and model evaluation. Candidates will contribute domain expertise to improve AI accuracy and scientific reasoning.

Required Skills

• Computational Biology and Bioinformatics
• Genomics, Transcriptomics, and Proteomics
• Python and/or R Programming
• NGS, RNA-seq, and Variant Analysis
• BLAST, GATK, Samtools, and Biopython
• Nextflow, Snakemake, and Linux
• Statistical Analysis and Scientific Problem-Solving
• Technical Documentation and Communication

Responsibilities

• Design and evaluate bioinformatics workflows.
• Analyze genomic, transcriptomic, and proteomic datasets.
• Optimize pipeline configurations and statistical methods.
• Support AI model benchmarking and validation.
• Develop reproducible scientific workflows.
• Document findings and communicate technical insights.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, or a related field, or equivalent industry/research experience.
• Hands-on experience with biological data analysis.
• Strong Python/R programming and statistical reasoning skills.
• Excellent written and verbal English communication.
• Experience with AI/ML-assisted biology, structural biology, or drug discovery is preferred.