XT
🌎 STEM Expert – Biology & Bioinformatics (PhD), Remote- Contract
Xperteez Technology
Contract type
One-time
Work mode
Remote · Worldwide
Experience
3 years
Job description
A contract, fully remote role for a PhD-level biology/bioinformatics expert to design, evaluate, and critique biological and computational workflows that support AI benchmarking and model training. The expert provides domain insight on genomic, transcriptomic, proteomic, and related data analysis pipelines.
At a glance
- Employment
- Contract
- Work mode
- Remote · Worldwide
- Languages
- English – C1 or higher
What you'll do
- Design, evaluate, and critique biology, bioinformatics, and computational biology workflows to support AI benchmarking initiatives.
- Provide expert-level 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 (e.g., NGS, RNA-seq, single-cell, 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.
What we're looking for
- PhD in biology, bioinformatics, computational biology, genomics, or a closely related STEM field, or equivalent industry/research experience.
- Professional written and spoken English (C1 or higher).
- Deep expertise in at least one of the listed areas (genomics & NGS analysis; transcriptomics & single-cell analysis; proteomics & structural biology; molecular & cell biology; systems biology & biological network analysis; drug discovery & computational pharmacology; biostatistics & machine learning applied to biology), 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 clearly document and explain technical concepts.
- Track record of rigorous scientific problem-solving in complex biological domains.
Nice to have
- Experience building reproducible workflows (Nextflow, 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.