Bioinformatics, Data Scientist

Axle Informatics

. Conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues .

Posted 10/24/2026full-timeRemote • United StatesMid-LevelSenior💰 $105,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in analyzing multi-omics data, including single-cell RNA sequencing and proteomics, with strong programming skills in R and Python. Proficient in developing computational pipelines and collaborating with experimental teams to optimize protocols and interpret results.

Highest-signal resume keywords

Single-Cell Data AnalysisProgramming Proficiency In RProgramming Proficiency In PythonStatistical AnalysisComputational Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Single-Cell RNA SequencingBulk RNA SequencingProteomicsMetabolomicsData VisualizationMachine Learning ApproachesPathway Analysis ToolsHigh-Performance ComputingVersion Control SystemsOrganoid Dataset Analysis

Tools & Technologies

SeuratScanpy

Certifications & Qualifications

Doctoral Degree (PhD) In BioinformaticsDoctoral Degree (PhD) In Computational BiologyDoctoral Degree (PhD) In Biostatistics

Industry Keywords

Multi-Omics DataExperimental DesignProtocol OptimizationDevelopmental Biology Principles

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Conduct comprehensive analyses of multi-omics data generated from organoid systems and corresponding normal tissues
Analyze single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics datasets
Collaborate with experimental wet-lab teams on experimental design and protocol optimization
Develop and implement computational pipelines for data processing, quality control, and statistical analysis
Integrate SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles
Work with experimental teams to interpret results and guide protocol optimization
Contribute to manuscript preparation and present findings at scientific conferences

Requirements

What you’ll need

Doctoral degree (PhD) in bioinformatics, computational biology, biostatistics, or a related quantitative field
Extensive experience with single-cell data analysis, including familiarity with Seurat, Scanpy, or comparable platforms
Strong programming proficiency in R and Python
Experience in statistical analysis and data visualization
Basic knowledge of proteomics and metabolomics data
Prior experience analyzing organoid datasets preferred
Experience with machine learning approaches for biological data preferred
Familiarity with pathway analysis tools preferred
Knowledge of developmental biology principles preferred
Experience with high-performance computing environments preferred
Experience with version control systems preferred

Benefits

Comp & perks

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Healthcare Flexible Spending Account (FSA)
Parking Reimbursement Account (PRK)
Dependent Care Assistant Program (DCAP)
Transportation Reimbursement Account (TRN)