Advanced Biomedical Data Analyst

7 hours ago

Thoothukudi, Tamil Nadu, India beBeeBioinformatics Full time ₹ 1,20,00,000 - ₹ 3,00,00,000
Senior Bioinformatics Specialist

We are seeking a highly skilled and experienced bioinformatics specialist to join our team. The ideal candidate will have a PhD in bioinformatics or biotechnology and hands-on experience in clinical projects.

  • The role involves applying deep understanding of biology and computational methods to analyze high-dimensional omics data, knowledge graph construction, and generate actionable insights.
  • Strong expertise across multi-omics data types (single-cell, proteomics, metabolomics) is required.
Key Responsibilities:
  • Present compelling scientific presentations and develop scalable solutions using biological problem statements and multi-omics data.
  • Analyse multi-omics biological data to derive relevant insights using state-of-the-art statistical methods.
  • Develop and optimize tools, pipelines, and algorithms for the analysis and visualization of multi-omics biological data.
  • Contribute to the ideation & deployment of knowledge graphs and structured data models, ensuring datasets are AI/ML-ready for downstream applications.
  • Collaborate with a diverse team of ML specialists, data scientists, and bioinformatics engineers to translate customer requirements into innovative solutions.
Qualifications:
  • PhD (with 0-2 years of relevant experience) or Masters (with 3-5 years of relevant experience) in Bioinformatics, Computational Biology, Biotechnology or related technical discipline with demonstrated work in clinical projects.
  • Proven expertise in processing and analyzing omics data using predefined/custom end-to-end analysis workflows to derive actionable insights and clinical data integration.
  • Proficient in a programming language used for data analysis such as Python or R.
  • Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
  • Track record of successful collaboration and independent work.
Good-to-have:
  • Exposure to EHR data integration for clinical and translational research.
  • Experience with spatial omics data analysis and interpretation.
  • Familiarity with AI/ML applications in biomedical data analysis.
  • Experience working with cloud technologies and scalable computing platforms.

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