STEM Expert – Biology & Bioinformatics (PhD)

M
micro1Bioinformatics
Remote(Worldwide)Contract
Salary not disclosed
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Job Details

Languages
Professional written and spoken English (C1 or higher).
Required Skills
PythonR

Requirements

  • Have a PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
  • Have professional written and spoken English proficiency at C1 or higher.
  • Bring deep expertise in at least one listed area and hands-on experience analyzing real biological data.
  • Be proficient in Python and/or R for scientific analysis.
  • Have experience with standard tools in your subfield, such as BLAST, samtools, GATK, Bioconductor, or Biopython.
  • Demonstrate strong statistical, quantitative, and analytical reasoning skills.
  • Show rigorous scientific problem-solving in complex biological domains.
  • Preferred: experience building reproducible workflows with Nextflow or Snakemake and working in Linux or command-line environments.
  • Preferred: experience with AI/ML-assisted biology workflows or benchmarking.
  • Preferred: 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 recommendations.
  • Guide the development and validation of biology-related AI models and tools using domain knowledge.
  • Communicate scientific concepts in writing and verbally to technical and non-technical collaborators.
  • Document findings, methodologies, and best practices for knowledge transfer across the customer's team.
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