Bioinformatics/Data Scientist

United States·Frederickmid

Data ScientistData

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Overview

(ID: 2025-0696) Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics,

Technical Tools

Data ScientistData

(ID: 2025-0696)

What We Offer

~3 min read

✓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

✓Flexible Spending Accounts: Healthcare (FSA)

✓Parking Reimbursement Account (PRK)

✓Dependent Care Assistant Program (DCAP)

✓Transportation Reimbursement Account (TRN)

✓The successful candidate will analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.

✓The position will develop and implement computational pipelines for data processing, quality control, and statistical analysis.

✓A major component of the role involves integrating SOM-generated data with publicly available datasets to benchmark organoid characteristics against normal tissue profiles.

✓The position requires close collaboration with experimental teams to interpret results and guide protocol optimization, as well as contributing to manuscript preparation and presenting findings at scientific conferences.

✓Candidates must hold a PhD in bioinformatics, computational biology, biostatistics, or a related quantitative field.

✓Extensive experience with single-cell data analysis, including familiarity with tools such as Seurat, Scanpy, or similar platforms, is essential.

✓Strong programming skills in R and Python are required, along with experience in statistical analysis and data visualization.

✓Knowledge of proteomics and metabolomics data analysis workflows is necessary.

✓Previous experience analyzing organoid datasets is strongly preferred.

✓Experience with machine learning approaches for biological data, familiarity with pathway analysis tools, and knowledge of developmental biology principles will be considered valuable assets.

✓Experience with high-performance computing environments and version control systems is desirable.