Computational Biology & Bioinformatics Expert (PhD)

You will design, review, and critique computational biology and bioinformatics workflows used to benchmark AI systems. Your work will help assess the accuracy, reproducibility, and usefulness of biology-focused models and tools.

You will apply scientific judgment to biological datasets and explain complex findings to both technical and non-technical collaborators.

• Design and evaluate workflows for genomic, transcriptomic, proteomic, NGS, RNA-seq, variant-calling, and protein-structure analysis.
• Analyze biological datasets and recommend improvements to pipeline settings, tool configurations, and statistical methods.
• Assess biology-related AI models and tools using rigorous computational biology expertise.
• Document methods and findings clearly and explain scientific concepts to different audiences.

This is a remote, part-time contractor opportunity open only in the supported hiring countries listed for the role. The work requires advanced computational biology or bioinformatics experience and professional written and spoken English.

• Pay: $45 to $90 per hour.
• Work setup: Remote contractor role with part-time employment.
• Location: Open to candidates in the supported hiring countries for this role.
• Language: Professional written and spoken English at C1 level or higher.
• Education or experience: A PhD in bioinformatics, computational biology, genomics, or a closely related field, or equivalent industry or research experience.
• Biological data: Hands-on experience with NGS, RNA-seq, variant analysis, or similar biological datasets.
• Programming: Proficiency in Python and/or R.
• Tools: Familiarity with BLAST, samtools, GATK, Bioconductor, or Biopython.
• Workflows: Experience building reproducible workflows with Nextflow or Snakemake in Linux or command-line environments.
• Core skills: Strong statistical, quantitative, analytical, written, and verbal communication skills.

The following experience is useful but not required: AI- or machine-learning-assisted biology workflows, benchmarking, single-cell analysis, structural biology, proteomics, drug discovery, prediction, or retrosynthesis.

Peer-reviewed publications, patents, or contributions to open-source bioinformatics software are also relevant.

You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.

The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 5 screening questions.

AI training is the human work behind systems that learn from examples, including reviewing model outputs, evaluating tools, and preparing data. People with deep subject knowledge are needed to judge whether AI systems produce accurate, useful, and reproducible results.