Bioinformatics/Data Scientist
About The Position
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH). Axle is seeking a Bioinformatics/Data Scientist to join our vibrant team at the National Institutes of Health (NIH) supporting the Standardized Organoid Model Center in Frederick, MD. The Standardized Organoid Model Center is an NIH-funded initiative dedicated to advancing organoid research through the development of validated, reproducible, and well-characterized organoid models. The center brings together interdisciplinary teams of researchers to establish standardized protocols, develop quality control measures, and create resources that will benefit the broader organoid research community.
Requirements
- 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.
- Strong programming skills in R and Python.
- Experience in statistical analysis and data visualization.
- Knowledge of proteomics and metabolomics data analysis workflows.
Nice To Haves
- Previous experience analyzing organoid datasets.
- Experience with machine learning approaches for biological data.
- Familiarity with pathway analysis tools.
- Knowledge of developmental biology principles.
- Experience with high-performance computing environments.
- Experience with version control systems.
Responsibilities
- Analyze complex datasets including single-cell RNA sequencing, bulk RNA sequencing, proteomics, and metabolomics data from various organoid systems and their tissue counterparts.
- 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.
- Collaborate with experimental teams to interpret results and guide protocol optimization.
- Contribute to manuscript preparation and present findings at scientific conferences.
Benefits
- 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)
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
