Computational Biology & Bioinformatics Expert – Remote
Remote / Online - Candidates ideally in
New York, New York City, Richmond County, New York, 60290, USA
Listed on 2026-10-18
New York, New York City, Richmond County, New York, 60290, USA
Listing for:
RemoteJobsOne
Remote/Work from Home
position Listed on 2026-10-18
Job specializations:
-
Research/Development
Research Scientist, Data Scientist, Biotech Research, Biomedical Science
Job Description & How to Apply Below
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.
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