Organoid Data Scientist — Multi-Omics & Bioinformatics

Axle Energy; Frederick (MD); On-site; USD 105,000 - 120,000; Full time

Benefits offered by this job

100% Medical, Dental & Vision Coverage

Paid Time Off and Paid Holidays

401K match up to 5%

Educational Benefits for Career Growth

Employee Referral Bonus

Flexible Spending Accounts (FSA) – HC

Parking Reimbursement Account (PRK)

Dependent Care Assistant Program (DCAP

Transportation Reimbursement Account (

Job summary

Axle Energy seeks a Bioinformatics/Data Scientist to join the NIH-based Standardized Organoid Model Center in Frederick, MD. You will analyze multi-omics data from organoid systems and normal tissues to characterize fidelity and identify biomarkers for differentiation, contributing to quality assessment frameworks.

Collaborating with experimental teams, you will develop pipelines for data processing, QC, and statistical analysis, publish findings, and present at scientific meetings.

Qualifications

• PhD in bioinformatics, computational biology, biostatistics, or related quantitative field.
• Extensive experience with single-cell data analysis using Seurat/Scanpy or similar platforms.
• Strong programming skills in R and Python with statistical analysis and data visualization.
• Knowledge of proteomics and metabolomics data analysis workflows.

Responsibilities

• Analyze complex multi-omics datasets from organoid systems and tissue counterparts.
• Develop and implement computational pipelines for data processing, QC, and statistics.
• Integrate SOM-generated data with public datasets to benchmark organoid characteristics.
• Collaborate with experimental teams and contribute to manuscript preparation and conferences.

Skills

Single-cell data analysis

R programming

Python programming

Biostatistics

Proteomics/metabolomics data analysis

Education

PhD in bioinformatics/computational biology/biostatistics

Tools

Seurat

Scanpy

R

Python

Job description

Axle Energy seeks a Bioinformatics/Data Scientist to join the NIH-based Standardized Organoid Model Center in Frederick, MD. You will analyze multi-omics data from organoid systems and normal tissues to characterize fidelity and identify biomarkers for differentiation, contributing to quality assessment frameworks.

Collaborating with experimental teams, you will develop pipelines for data processing, QC, and statistical analysis, publish findings, and present at scientific meetings.