Remote Computational Biology & AI Benchmarking Expert

Remotebridge

United States

Remote

USD 110,000 - 207,000

Part time

13 hours ago
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Job summary

Remotebridge is seeking a Computational Biology & Bioinformatics Expert (PhD) for a remote, contract role. You will apply your deep expertise to train next-generation AI systems by shaping how models learn, reason, and perform through high-quality inputs.

You will design workflows, analyze genomic data, benchmark pipelines, optimize parameters, and document methods to enable knowledge transfer across the customer’s team.

Qualifications

  • PhD or equivalent industry experience in bioinformatics or genomics.
  • Proven ability to analyze biological data (NGS, RNA-seq, variant analysis).
  • Strong written and spoken English (C1 or higher).

Responsibilities

  • Design, evaluate, and critique bioinformatics workflows for AI benchmarking.
  • Provide expert insights on genomic, transcriptomic, and proteomic data analysis pipelines.
  • Assess and optimize pipeline parameters, tool configurations, and statistics for reproducibility.
  • Analyze datasets (NGS, RNA-seq, variant calling, protein structure) and provide recommendations.
  • Guide development and validation of biology-related AI models and tools.
  • Communicate complex concepts clearly to technical and non-technical collaborators.
  • Document methodologies and best practices for knowledge transfer.

Skills

Python
R
Bioinformatics tools
Nextflow
Snakemake
Linux/CLI
Statistics & analytics
Scientific communication

Education

PhD in bioinformatics or related field

Tools

BLAST
samtools
GATK
Bioconductor/Biopython

Job description

Remotebridge is seeking a Computational Biology & Bioinformatics Expert (PhD) for a remote, contract role. You will apply your deep expertise to train next-generation AI systems by shaping how models learn, reason, and perform through high-quality inputs.

You will design workflows, analyze genomic data, benchmark pipelines, optimize parameters, and document methods to enable knowledge transfer across the customer’s team.

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