Bioinformatics/Data Scientist

Axle

WorldwideFully remoteFull TimeMid LevelHealthcare & Telemedicine
USD 105,000–120,000 a yearPosted 2h 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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