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Computational Biology & Bioinformatics Expert; PhD

Job in Chicago, Cook County, Illinois, 60601, USA
Listing for: micro1 Inc.
Part Time position Listed on 2026-11-12
Job specializations:
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR

Job Description & How to Apply Below

Position: Computational Biology & Bioinformatics Expert (PhD)
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.
  • prediction/retrosynthesis.
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