Life Sciences Research, Python Specialist

Gramian Consulting

. Combine scientific research expertise with practical software skills to contribute to projects focused on evaluating and improving advanced AI systems.

Posted 11/10/2026contractRemote • SingaporeMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python programming for scientific computing and data analysis, with a strong background in life sciences research. Capable of analyzing biological datasets and communicating complex scientific concepts effectively.

Highest-signal resume keywords

Python ProgrammingScientific ComputingData AnalysisBiological Dataset InterpretationResearch Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonStatistical TechniquesComputational MethodsData-Processing WorkflowsModelingSimulationsScientific Problem SolvingCode DebuggingReproducibilityAnalytical Thinking

Soft Skills

Excellent Written CommunicationClear Documentation

Certifications & Qualifications

Master’s DegreePhD

Industry Keywords

Life SciencesBiomedical SciencesBioinformaticsNeuroscienceGeneticsComputational BiologyScientific ResearchPublicationsThesis WorkIndustry Research

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Combine scientific research expertise with practical software skills to contribute to projects focused on evaluating and improving advanced AI systems.
Create and solve technically rigorous scientific problems within the area of specialization.
Develop reproducible Python-based analyses, models, simulations, and data-processing workflows.
Analyze and interpret biological or biomedical datasets using appropriate computational methods.
Review scientific solutions and Python code for accuracy, clarity, completeness, and reproducibility.
Identify errors in scientific reasoning, computational methods, assumptions, and code implementation.
Apply relevant statistical and computational techniques to validate research findings.
Document methodologies, assumptions, and solutions in a clear and structured manner.
Work approximately 15 hours per week on an output-based, per-task compensation model.

Requirements

What you’ll need

Master’s or PhD in a relevant life sciences discipline, such as Biology, Biomedical Sciences, Bioinformatics, Neuroscience, Genetics, Computational Biology, or a related field.
Substantial research experience demonstrated through publications, thesis work, computational projects, industry research, or equivalent accomplishments.
Strong practical Python programming skills, particularly for scientific computing, data analysis, modeling, or simulation.
Ability to independently write, understand, debug, and validate Python code.
Experience working with scientific or biological datasets and interpreting computational results.
Strong analytical thinking and the ability to evaluate scientific methods and technical conclusions.
Excellent written English and the ability to communicate complex scientific concepts clearly.
Native English speaker for the listed US, CA, AUS, NZ, UK locations.