Scientific Python Research Specialist – Life Sciences

Gramian Consulting

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

Posted 9/24/2026contractRemote • Ghana, India, Indonesia, Turkey, Chile, PeruMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and executing scientific workflows, particularly in Python, while ensuring the creation of reproducible solutions and validation of scientific results. Capable of developing automated grading criteria and maintaining high-quality task outputs in computational environments.

Highest-signal resume keywords

Scientific Programming ExperiencePython ProficiencyMulti-Step Computational AnalysisReproducible Solutions DevelopmentScientific Data Validation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Scientific ProgrammingComputational AnalysisData ValidationWorkflow DesignAutomated Grading Criteria

Soft Skills

Problem-SolvingAttention to DetailFeedback Incorporation

Tools & Technologies

PythonScientific Programming LibrariesCommand-Line ToolsDomain-Specific Scientific SoftwareComputational Resources

Industry Keywords

Life SciencesScientific WorkflowsReproducibilityData InspectionScientific Reasoning

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.
Work with Python and scientific programming libraries, command-line tools, domain-specific scientific software, scientific datasets, structured input files, packaged dependencies, and reproducible computational resources.

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.