Organoid Bioinformatics Data Scientist

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

Benefits offered by this job

Paid Time Off

401K match up to 5%

Educational Benefits

Employee Referral Bonus

Flexible Spending Accounts

Job summary

Axle is seeking a Bioinformatics/Data Scientist to join our team at the National Institutes of Health (NIH) in Frederick, MD. This position focuses on analyzing multi-omics data from organoid systems and developing computational frameworks for quality assessment.

Candidates must hold a PhD and have extensive experience in single-cell data analysis, programming in R and Python, as well as familiarity with proteomics and metabolomics workflows. The role includes close collaboration with experimental teams and offers a competitive salary along with various benefits.

Qualifications

• PhD in a relevant field is required.
• Experience with single-cell data analysis is essential.
• Strong programming skills in R and Python are necessary.
• Knowledge of proteomics and metabolomics workflows is required.

Responsibilities

• Analyze complex datasets including multi-omics data.
• Develop computational pipelines for data processing.
• Integrate SOM-generated data with public datasets.
• Collaborate with experimental teams and prepare scientific manuscripts.

Skills

Single-cell data analysis

R programming

Python

Statistical analysis

Data visualization

Education

PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field

Tools

Seurat

Scanpy

Job description

Axle is seeking a Bioinformatics/Data Scientist to join our team at the National Institutes of Health (NIH) in Frederick, MD. This position focuses on analyzing multi-omics data from organoid systems and developing computational frameworks for quality assessment.

Candidates must hold a PhD and have extensive experience in single-cell data analysis, programming in R and Python, as well as familiarity with proteomics and metabolomics workflows. The role includes close collaboration with experimental teams and offers a competitive salary along with various benefits.