STEM Expert – Biology & Bioinformatics (PhD)

What You'll Do7

• Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives.
• Offer expert insights on genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
• Assess and refine pipeline parameters, tool configurations, and statistical methods to ensure accuracy and reproducibility.
• Analyze biological datasets such as NGS, RNA-seq, single-cell data, variant calls, and protein structures, and provide actionable recommendations.
• Apply domain knowledge to guide the development and validation of biology-related AI models and tools.
• Explain complex scientific concepts clearly in writing and speech to technical and non-technical collaborators.
• Document findings, methodologies, and best practices to support knowledge transfer across the customer’s team.

Requirements7

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

Preferred Qualifications3

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

Who Should Apply

This role suits a PhD-level biologist or bioinformatician with deep hands-on experience in at least one omics area and strong Python or R skills. You should be comfortable analyzing real datasets, explaining your methods to diverse audiences, and documenting your work. If you have a track record of rigorous problem-solving in complex biological domains, this is for you.

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