Computational Biology, AI Specialist

Gramian Consulting

. Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps.

Posted 9/22/2026contractRemote • Argentina, Bangladesh, Brazil, Colombia, Egypt, NigeriaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and validating complex scientific workflows in computational life sciences, utilizing strong Python programming skills and experience with scientific datasets and tools. Capable of developing reproducible workflows and ensuring high-quality task execution while incorporating feedback.

Highest-signal resume keywords

PhD In Life SciencesStrong Python Programming SkillsExperience In Scientific ComputingDevelopment Of Reproducible WorkflowsValidation Of Scientific Outputs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific ComputingData AnalysisComputational MethodsMulti-Step Computational AnalysesScientific Programming

Soft Skills

Independent ValidationAttention To DetailQuality Assurance

Tools & Technologies

Scientific LibrariesCommand-Line ToolsDomain-Specific Life Sciences Software

Industry Keywords

Computational Life SciencesScientific WorkflowsAutomated Grading CriteriaScientific ReasoningControlled Environments

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps.
Develop realistic scientific datasets, input files, instructions, constraints, and expected deliverables.
Create tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, and troubleshoot intermediate results.
Implement reproducible expert solutions and objectively verifiable ground truths.
Design robust automated or semi-automated grading criteria for scientific tasks.
Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
Ensure task dependencies, data, and computational resources can be reliably packaged in controlled environments.
Develop workflows using Python, command-line tools, scientific libraries, and relevant domain-specific software.
Ensure tasks assess scientific reasoning and execution rather than memorization.
Maintain high task quality and throughput while incorporating reviewer feedback.

Requirements

What you’ll need

PhD, postdoctoral experience, or equivalent research experience in Life Sciences or a closely related field.
Strong Python programming skills with demonstrated experience in scientific computing.
Experience conducting multi-step computational scientific analyses.
Experience working with scientific datasets and computational tools.
Ability to independently validate scientific reasoning, calculations, and computational outputs.
Experience developing reproducible computational workflows and verifying expected results.
Familiarity with scientific libraries, command-line tools, or domain-specific life sciences software.
Experience in scientific research involving computational methods, data analysis, or scientific programming.