
Bioinformatics/Data Scientist
Axle
WorldwideFully remoteFull TimeMid LevelHealthcare & Telemedicine
USD 105,000–120,000 a yearPosted 2 hours ago2h agoApply link checked 1 hour ago
Why we think you can apply
- Hiring model
- Open worldwide · the employer states no country restriction
- Work from
- Anywhere, the UAE included
Posted 2 hours ago · apply link checked 1 hour ago
About the role
Responsibilities
- Analyze single-cell RNA sequencing, bulk RNA sequencing, proteomics and metabolomics data from organoid systems and tissues
- Consult with wet-lab teams on experimental design and protocol optimization
- Develop and implement computational pipelines for processing, quality control and statistical analysis
- Integrate SOM-generated data with public datasets to benchmark organoid characteristics
- Contribute to manuscript preparation and present findings at scientific conferences
Requirements
- PhD in bioinformatics, computational biology, biostatistics or related quantitative field
- Extensive single-cell data analysis experience (Seurat, Scanpy or comparable)
- Strong programming proficiency in R and Python
- Statistical analysis and data visualization experience
- Basic knowledge of proteomics and metabolomics data
Preferred Qualifications
- Prior experience analyzing organoid datasets
- Machine learning for biological data, pathway analysis tools, developmental biology knowledge
- High-performance computing and version control experience
Benefits
- 100% medical, dental and 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, parking, dependent care, transportation)
About the Company
Axle is a bioscience and information technology company providing translational research, biomedical informatics and data science to research centers and healthcare organizations, including multiple NIH institutes.
What we look for
- PhD in bioinformatics, computational biology, biostatistics or related quantitative field
- Extensive single-cell data analysis experience (Seurat, Scanpy or comparable)
- Strong programming proficiency in R and Python
- Statistical analysis and data visualization experience
- Basic knowledge of proteomics and metabolomics data
- Prior experience analyzing organoid datasets
- Machine learning for biological data, pathway analysis tools, developmental biology knowledge
- High-performance computing and version control experience
PythonMachine LearningData VisualizationRStatistical AnalysisVersion ControlProteomicsSingle-cell RNA sequencingSeuratScanpyMetabolomics
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Axle
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NeverApply scores every new listing against your CV, salary floor and visa. A handful of real matches by morning.
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