🌎 STEM Expert – Biology & Bioinformatics (PhD), Remote- Contract

Xperteez Technology•,
•$45 - $90•Remote

About The Position

As a STEM Expert in Biology and Bioinformatics, you will 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. You will support AI benchmarking initiatives by evaluating biological and computational workflows, analyzing biological data, and contributing domain expertise to the development and validation of biology-related AI models and tools.

Requirements

  • PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry or research experience.
  • Professional written and spoken English proficiency at C1 level or higher.
  • Deep expertise in at least one listed area, with hands-on experience analyzing real biological data.
  • Proficiency in Python and/or R for scientific analysis, plus experience with standard tools in the relevant subfield, such as BLAST, samtools, GATK, Bioconductor, or Biopython.
  • Strong statistical, quantitative, and analytical reasoning skills.
  • Outstanding written and verbal communication skills, including the ability to document and explain technical concepts clearly.
  • A track record of rigorous scientific problem-solving in complex biological domains.

Nice To Haves

  • Experience building reproducible workflows using Nextflow or Snakemake and working in Linux or command-line environments.
  • Experience with AI/ML-assisted biology workflows or benchmarking.
  • Peer-reviewed publications, patents, or contributions to open-source bioinformatics software.

Responsibilities

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