Bioinformatics Computational Genomics Expert (English)

You will design challenging bioinformatics and computational genomics tasks for evaluating AI systems. Each task should require an AI agent to interpret biological data, write and run code, work with scientific file formats, and produce results that can be checked objectively.

You will create realistic datasets, task instructions, expected output formats, reference solutions, and grading rules. Your workflows must run reproducibly in Python, and you will check that each task is scientifically correct, solvable from the supplied information, and suitably difficult for advanced AI models.

• Build tasks using FASTA, FASTQ, VCF, BAM, SAM, BED, TSV, and CSV files.
• Work with sequence annotations, expression data, and germline or somatic variant data.
• Create deterministic or objectively verifiable ground truths and automated grading criteria.
• Develop reproducible Python workflows and expert reference solutions.
• Review messy or ambiguous data, identify artifacts, and choose suitable analytical approaches.
• Document deliverables, respond to reviewer feedback, and explain scientific or technical requirements to project leads and reviewers.

This is a remote contractor assignment lasting five weeks. The work includes a four-hour overlap with Pacific Time, and the expected commitment is at least 20 hours per week.

• $260 per approved task.
• At least 20 hours per week.
• Open to candidates in Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Türkiye, and Vietnam.
• Professional fluency in English.
• A Ph.D., postdoctoral experience, or equivalent research experience in bioinformatics, computational biology, genomics, computational genetics, or a closely related field.
• Strong hands-on Python programming experience and experience analyzing biological sequence or genomics datasets.
• Comfort working in Linux and command-line computational environments.
• Ability to assess assumptions, revise analytical approaches, and decide when conclusions are ready for use.
• Helpful experience includes variant analysis, transcriptomics, sequence analysis, phylogenetics, population genetics, functional genomics, or clinical genomics.
• Familiarity with Biopython, pandas, NumPy, SciPy, samtools, bcftools, BLAST, PLINK, or equivalent tools is useful.
• Experience with reproducible pipelines, AI or large language model evaluation, benchmark datasets, automated graders, Docker, or containerized workflows is useful.
• Publications involving computational genomics or bioinformatics are welcome.
• This contractor assignment does not include medical or paid leave.

Apply on OpenTrain with your resume and then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including creating datasets, writing code, and checking whether model outputs are correct. Specialists are needed when the work depends on scientific judgment, technical tools, and reliable evaluation standards.