Biology & Bioinformatics Research Specialist, MSc/PhD

Gramian Consulting

. Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives.

Posted 11/9/2026contractRemote • ThailandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing and optimizing biological data analysis pipelines, with proficiency in Python and R for computational biology applications. Capable of communicating complex scientific concepts effectively to diverse audiences while ensuring accuracy and reproducibility in AI-driven biological analyses.

Highest-signal resume keywords

Python ProgrammingR ProgrammingBiological Data AnalysisStatistical MethodsGenomics Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

BioinformaticsComputational BiologyNGS AnalysisRNA SequencingProteomicsStatistical AnalysisData Analysis PipelinesMolecular BiologyCellular BiologyAnalytical Reasoning

Soft Skills

Communication SkillsCollaborationCritical ThinkingProblem Solving

Tools & Technologies

Scientific ToolsAI ModelsComputational Workflows

Industry Keywords

BiologyBioinformaticsComputational BiologyGenomicsTranscriptomicsProteomicsSingle-Cell AnalysisGenomic Variant AnalysisMethodological EvaluationKnowledge Transfer

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, evaluate, and critique biology, bioinformatics, and computational biology workflows for AI benchmarking initiatives.
Provide expert insights into genomic, transcriptomic, proteomic, and other biological data analysis pipelines.
Assess and optimize computational pipeline parameters, software configurations, and statistical methods.
Analyze NGS, RNA sequencing, single-cell, genomic variant, protein structure, proteomics, molecular biology, and cellular biology datasets.
Evaluate scientific methodologies and AI-generated biological analyses for accuracy, consistency, and reproducibility.
Identify analytical errors, methodological limitations, and opportunities to improve computational workflows.
Contribute domain expertise to developing and validating biology-related AI models and tools.
Document findings, methodologies, and best practices to support knowledge transfer.
Communicate complex scientific concepts clearly to technical and non-technical collaborators.

Requirements

What you’ll need

Master's or PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM discipline.
Equivalent professional industry or research experience may also be considered.
Deep expertise in at least one relevant biological or computational specialization.
Hands-on experience analyzing real biological datasets.
PhD holders with industry experience in software engineering, data science, computational biology, or related technology roles are particularly encouraged.
Proficiency in Python and/or R.
Experience with relevant scientific tools, depending on specialization.
Professional written and spoken English proficiency at C1 level or higher.
Strong statistical, quantitative, and analytical reasoning skills.