Biology and Bioinformatics Research Specialist – AI Projects

Gramian Consulting

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

Posted 10/22/2026contractRemote • United States, Canada, United Kingdom, Australia, New ZealandMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analyzing and optimizing biological datasets, including NGS and RNA-seq, while applying computational biology and bioinformatics methodologies. Proficient in Python and R for scientific analysis, with strong communication skills to convey complex concepts to diverse audiences.

Highest-signal resume keywords

PhD In Biology, Bioinformatics, Computational Biology, Or GenomicsProficiency In Python And/or RExperience With NGS And RNA-seq Data AnalysisStrong Statistical And Analytical SkillsProfessional English Proficiency At C1 Level

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Bioinformatics WorkflowsComputational BiologyGenomic Data AnalysisStatistical MethodsData Pipeline OptimizationBiological Dataset AnalysisVariant-Calling OutputsProtein Structures AnalysisScientific ReasoningActionable Recommendations

Soft Skills

Excellent Written CommunicationExcellent Verbal CommunicationProblem-Solving Skills

Tools & Technologies

BLASTSamtoolsGATKBioconductorBiopython

Industry Keywords

Next-Generation SequencingRNA-seqSingle-Cell DataScientific AccuracyReproducibilityAI BenchmarkingBiological Data Analysis

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.
Review genomic, transcriptomic, proteomic, and other biological data analysis pipelines for scientific accuracy and reproducibility.
Assess and optimize pipeline parameters, software configurations, and statistical methods.
Analyze biological datasets, including next-generation sequencing (NGS), RNA-seq, single-cell data, variant-calling outputs, and protein structures.
Validate computational approaches and provide actionable recommendations to improve scientific reliability.
Apply domain expertise to guide the development and evaluation of biology-focused AI models and tools.
Document methodologies, findings, limitations, and best practices to support reproducible research and knowledge transfer.
Communicate complex scientific concepts clearly to both technical and non-technical stakeholders.

Requirements

What you’ll need

PhD in Biology, Bioinformatics, Computational Biology, Genomics, or a closely related STEM field, or equivalent industry or research experience.
Professional written and spoken English proficiency at C1 level or higher.
Deep expertise in at least one relevant biological or computational research area.
Hands-on experience analyzing real biological datasets.
Proficiency in Python and/or R for scientific analysis.
Experience with relevant tools and libraries, such as BLAST, samtools, GATK, Bioconductor, or Biopython, depending on the candidate's specialization.
Strong statistical, quantitative, analytical, and scientific reasoning skills.
Excellent written and verbal communication skills, including the ability to explain technical methods and document results.
Demonstrated ability to solve complex biological or computational problems rigorously.