Life Sciences Research Specialist, Python

Gramian Consulting

. Create and solve technically rigorous scientific problems within the area of specialization .

Posted 11/10/2026contractRemote • United States, Canada, New Zealand, Australia, United KingdomMid-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 foundation in biological or biomedical research methodologies. Capable of analyzing complex datasets and communicating findings effectively in written English.

Highest-signal resume keywords

Python ProgrammingBiological Dataset AnalysisStatistical TechniquesScientific Research ExperienceExcellent Written Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Python ProgrammingData AnalysisModelingSimulationStatistical TechniquesComputational MethodsScientific Problem SolvingCode DebuggingData Processing WorkflowsResearch Methodologies

Soft Skills

Analytical ThinkingClear CommunicationIndependent WorkAttention to DetailFlexibility

Industry Keywords

Life SciencesBiomedical SciencesBioinformaticsComputational BiologyNeuroscienceGeneticsScientific ResearchAI SystemsPublicationsThesis Work

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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
Contribute to projects focused on evaluating and improving advanced AI systems
Combine scientific research expertise with practical software skills across biology and related disciplines

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
Availability for approximately 15 hours per week
Ability to work flexible hours and days, including weekends if preferred

Benefits

Comp & perks

Flexible schedule—you choose your working hours and days, including weekends if preferred
Approximately 15 hours per week
Output-based compensation with payment per task that meets project specifications