We are looking for Bioinformatics / Computational Genomics Expert candidates for a project delivered through the hiring partner.
What you'll do
- Design novel, challenging tasks in computational genomics and bioinformatics.
- Design tasks that test higher-order scientific judgment, including handling ambiguous or messy data, identifying artifacts, selecting appropriate analytical approaches, revising assumptions based on intermediate results, and determining when conclusions are decision-ready.
- Build tasks involving realistic scientific data such as FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, sequence annotations, expression data, and germline or somatic variant data.
- Develop tasks requiring multi-step analysis using Python, command-line tools, or established bioinformatics libraries.
- Create clear task specifications, input datasets, expected output schemas, and deterministic or objectively verifiable ground truths.
- Develop expert reference solutions and reproducible computational workflows that run in the provided Python environment.
- Validate that tasks are scientifically correct, solvable from the supplied information, and sufficiently challenging for frontier AI models.
- Design robust grading criteria that distinguish scientifically correct solutions from superficially plausible outputs.
- Ensure all deliverables are well documented, reproducible, and client-ready.
- Maintain high quality and throughput while incorporating reviewer feedback.
- Communicate progress, blockers, and scientific or technical requirements to project leads and reviewers.
What you need
- Ph.D., postdoctoral experience, or equivalent research experience in Bioinformatics, Computational Biology, Genomics, Computational Genetics, or a closely related discipline.
- Strong hands-on programming experience in Python.
- Experience analyzing biological sequence or genomics datasets.
- Comfortable working in Linux and command-line computational environments.
Nice to have
- Experience with genomics workflows such as variant analysis, transcriptomics, sequence analysis, phylogenetics, population genetics, functional genomics, or clinical genomics.
- Familiarity with bioinformatics libraries and tools such as Biopython, pandas, NumPy, SciPy, samtools, bcftools, BLAST, PLINK, or equivalent tools.
- Experience developing reproducible scientific pipelines.
- Experience evaluating AI or LLM systems on computational scientific tasks.
- Strong understanding of the experimental and biological context behind computational analyses.
- Experience with AI agents or coding agents.
- Experience designing benchmark datasets or automated graders.
- Publications involving computational genomics or bioinformatics.
- Experience with Docker or containerized scientific workflows.
Expertise
Who you work with
Project and contracting process: the hiring partner. Applications continue on the provider's website.
Pay and hours
This role does not publish a rate, for 40 h/week. The work is remote.
Who can apply from where
The provider has not confirmed country eligibility. Check the original offer before applying. With a profile, Tier1 checks your country and languages against this role and every other before you apply.