Computational Biology & Bioinformatics Expert – Remote

RemoteJobsOne; Chicago (IL); Remote; USD 128,943,000 - 257,887,000; Part time

Job summary

RemoteJobsOne is seeking a Computational Biology & Bioinformatics Expert (PhD) for a fully remote contractor role worldwide. You will apply your expertise to train AI systems using genomic and transcriptomic data, shaping how models learn and perform.

You will design and evaluate bioinformatics workflows, provide expert insights on NGS/ RNA-seq pipelines, and optimize analyses for reproducibility. Strong communication and documentation are essential.

Qualifications

• PhD in bioinformatics, computational biology, genomics, or closely related field.
• Professional English (C1 or higher).
• Hands-on experience analyzing biological data (NGS, RNA-seq, variant analysis).
• Proficiency in Python and/or R for scientific analysis, and familiarity with standard bioinformatics tools.

Responsibilities

• Design, evaluate, and critique bioinformatics workflows to support AI benchmarking initiatives.
• Provide expert-level insights on genomic, transcriptomic, and proteomic data analysis pipelines.
• Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
• Analyze biological datasets (e.g., NGS, RNA-seq, variant calling, protein structure) and provide actionable recommendations.
• Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer’s team.

Skills

Python

R

Bioinformatics

Genomics

NGS

RNA-seq

Variant analysis

Statistics

Communication

Documentation

Workflow automation

Education

PhD in bioinformatics

PhD in computational biology/genomics

Tools

BLAST

samtools

GATK

Bioconductor

Biopython

Nextflow

Snakemake

Linux

Job description

Computational Biology & Bioinformatics Expert (PhD) - Remote (Worldwide)

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $45-$90/hr

Job Title: Computational Biology & Bioinformatics Expert (PhD)

Job Type: Contractor

Location: Remote (Worldwide)

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.

Key Responsibilities:

• Design, evaluate, and critique bioinformatics and computational biology workflows to support AI benchmarking initiatives.
• Provide expert-level insights on genomic, transcriptomic, and proteomic data analysis pipelines.
• Assess and optimize pipeline parameters, tool configurations, and statistical methods for accuracy and reproducibility.
• Analyze biological datasets (e.g., NGS, RNA-seq, variant calling, protein structure) and provide actionable recommendations.
• Leverage domain knowledge to guide the development and validation of biology-related AI models and tools.
• Communicate complex scientific concepts clearly, both in writing and verbally, to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to ensure knowledge transfer across the customer's team.

Required Skills and Qualifications:

• PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry/research experience.
• Professional written and spoken English (C1 or higher).
• Hands-on experience analyzing biological data (e.g., NGS, RNA-seq, variant analysis).
• Proficiency in Python and/or R for scientific analysis, plus experience with standard bioinformatics tools (e.g., BLAST, samtools, GATK, Bioconductor, Biopython).
• Experience building reproducible workflows with tools such as Nextflow or Snakemake, and comfort working in Linux/command-line environments.
• Strong statistical, quantitative, and analytical reasoning skills.
• Outstanding written and verbal communication abilities, with the ability to clearly document and explain technical concepts.
• Track record of rigorous scientific problem-solving in complex biological domains.

Preferred Qualifications:

• Experience with AI/ML-assisted biology workflows or benchmarking.
• Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.
• Background in single-cell analysis, structural biology, proteomics, or drug discovery.