Bioinformatics Research Specialist, Python, AI

Posted 1 day ago

This is a fully remote position, open to applicants in Sri Lanka, +3 more countries.

πŸ“‹ Description

β€’ Create innovative and challenging tasks within the realms of computational genomics and bioinformatics that assess the capabilities of advanced AI agents.

β€’ Construct realistic, multi-step workflows utilizing formats such as FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, gene expression data, and sequence annotations.

β€’ Develop tasks that necessitate scientific judgment, artifact identification, ambiguity management, method selection, and the revision of assumptions based on preliminary results.

β€’ Prepare detailed task specifications, input datasets, anticipated output schemas, and objectively verifiable ground truths.

β€’ Generate expert reference solutions and reproducible workflows utilizing Python, command-line tools, and bioinformatics libraries.

β€’ Assess scientific accuracy, solvability, and the challenge level for advanced AI models.

β€’ Create grading criteria that clearly differentiate scientifically accurate solutions from superficially plausible outputs.

β€’ Ensure that deliverables are reproducible, thoroughly documented, and appropriate for client evaluation.

β€’ Integrate reviewer feedback while upholding quality and efficiency.

β€’ Relay progress updates, obstacles, and scientific or technical requirements to project leads and reviewers.


⛳️ Requirements

β€’ A Ph.D., postdoctoral experience, or equivalent research experience in Bioinformatics, Computational Biology, Genomics, Computational Genetics, or a closely related field.

β€’ Significant hands-on programming expertise in Python.

β€’ Practical experience in analyzing biological sequences or genomics datasets.

β€’ Familiarity with Linux or command-line computational environments.

β€’ Capability to independently validate scientific reasoning, computational methods, and analytical outputs.


🏝️ Benefits

β€’ Competitive salary and comprehensive benefits package.

β€’ Opportunities for professional development and continuous learning.

β€’ Collaborative and innovative work environment.

β€’ Flexible work hours and remote work options.

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