Scientific Python Research Specialist – Life Sciences

Gramian Consulting

. Design challenging, realistic agentic scientific workflows across the life sciences.

Posted 9/24/2026contractRemote • Sri Lanka, Saudi Arabia, Nepal, MexicoMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and executing scientific workflows, with a strong focus on Python programming and the ability to validate scientific reasoning and computational outputs. Capable of creating reproducible solutions and ensuring high-quality task execution in controlled environments.

Highest-signal resume keywords

Scientific Programming ExperiencePython ProficiencyMulti-Step Computational AnalysisData Validation SkillsReproducible Solution Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific ProgrammingPythonComputational AnalysisData ValidationWorkflow DesignAutomated Grading CriteriaScientific ReasoningData InspectionTroubleshootingResult Synthesis

Soft Skills

Independent Problem SolvingAttention to DetailFeedback Incorporation

Industry Keywords

Life SciencesComputational ResearchScientific WorkflowsReproducibilityControlled Environments

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design challenging, realistic agentic scientific workflows across the life sciences.
Create multi-step computational tasks requiring scientific reasoning and execution.
Develop realistic datasets, input files, instructions, constraints, and expected deliverables.
Design workflows requiring agents to inspect data, select methods, execute analyses, troubleshoot issues, and synthesize results.
Create reproducible expert solutions and objectively verifiable ground truths.
Develop robust automated or semi-automated grading criteria.
Ensure tasks evaluate scientific reasoning and execution rather than memorization.
Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
Ensure tasks are self-contained and executable in controlled computational environments.
Maintain high task quality and throughput while incorporating reviewer feedback.

Requirements

What you’ll need

Strong scientific programming experience, particularly in Python.
Experience conducting multi-step computational scientific analyses.
Ability to independently validate scientific reasoning, calculations, code, and computational outputs.
Experience working with scientific data and computational research workflows.
Ability to create reproducible solutions and assess the correctness of scientific results.