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 • Ghana, India, Indonesia, Turkey, Chile, PeruMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing computational workflows in bioinformatics and genomics, utilizing Python and command-line tools to analyze biological datasets. Capable of validating scientific reasoning and ensuring reproducibility and quality in deliverables.

Highest-signal resume keywords

Ph.D. In BioinformaticsStrong Python Programming ExperienceBiological Sequence AnalysisLinux Command-Line ProficiencyScientific Reasoning Validation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Computational GenomicsBioinformatics WorkflowsData Artifact IdentificationStatistical AnalysisTask Specification Development

Soft Skills

Effective CommunicationFeedback IncorporationProblem-Solving

Tools & Technologies

PythonCommand-Line ToolsFASTA/FASTQVCFBAM/SAMBEDTSV/CSV

Industry Keywords

Computational BiologyGenomicsComputational GeneticsData ValidationReproducibility

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 biological datasets such as FASTA/FASTQ, VCF, BAM/SAM, BED, TSV/CSV, expression data, and sequence annotations.
Create tasks requiring scientific judgment, including identifying data artifacts, handling ambiguity, selecting appropriate methods, and revising assumptions based on intermediate results.
Prepare task specifications, input datasets, expected output schemas, and objectively verifiable ground truths.
Develop expert reference solutions and reproducible computational workflows using Python, command-line tools, and bioinformatics libraries.
Validate scientific accuracy, solvability, and challenge level for advanced AI models.
Design robust 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 high standards for 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.