Bioinformatics Research Specialist, Python, AI

Gramian Consulting

. Design novel, challenging tasks in computational genomics and bioinformatics that test advanced AI agent capabilities.

Posted 9/22/2026contractRemote • Sri Lanka, Saudi Arabia, Nepal, MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing complex workflows in computational genomics and bioinformatics, utilizing Python and command-line tools. Capable of validating scientific accuracy and ensuring reproducibility while effectively communicating with project leads and reviewers.

Highest-signal resume keywords

Ph.D. In BioinformaticsStrong Python ProgrammingBioinformatics LibrariesLinux Command-Line ExperienceBiological Sequence Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Computational GenomicsBioinformaticsFASTA/FASTQVCFBAM/SAMBEDTSV/CSVExpression DataSequence AnnotationsScientific Validation

Soft Skills

Scientific JudgmentArtifact IdentificationAmbiguity HandlingCommunicationFeedback Incorporation

Tools & Technologies

PythonCommand-Line ToolsReproducible WorkflowsData Validation ToolsTask Specification Tools

Industry Keywords

Computational BiologyComputational GeneticsResearch ExperienceAnalytical OutputsChallenge Level Assessment

Tech Stack

Tools & technologies

LinuxPython

About the role

Key responsibilities & impact

Design novel, challenging tasks in computational genomics and bioinformatics that test advanced AI agent capabilities.
Develop realistic, multi-step workflows involving FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, expression data, and sequence annotations.
Create tasks requiring scientific judgment, artifact identification, ambiguity handling, method selection, and revision of assumptions based on intermediate results.
Prepare task specifications, input datasets, expected output schemas, and objectively verifiable ground truths.
Develop expert reference solutions and reproducible workflows using Python, command-line tools, and bioinformatics libraries.
Validate scientific accuracy, solvability, and challenge level for advanced AI models.
Design grading criteria distinguishing scientifically correct solutions from superficially plausible outputs.
Ensure deliverables are reproducible, well documented, and suitable for client review.
Incorporate reviewer feedback while maintaining quality and throughput.
Communicate progress, blockers, and scientific or technical requirements to project leads and reviewers.

Requirements

What you’ll 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 with Python.
Practical experience analyzing biological sequence or genomics datasets.
Experience working in Linux or command-line computational environments.
Ability to independently validate scientific reasoning, computational methods, and analytical outputs.