Senior Omics Data Scientist

2 days ago


Coimbatore, Tamil Nadu, India beBeeBioinformatics Full time ₹ 1,01,16,928 - ₹ 2,03,94,959
Omics Data Analyst
We are seeking a highly skilled professional to work in our team. The ideal candidate will have hands-on experience in clinical projects, a deep understanding of biology and computational methods, and the ability to derive actionable insights from omics data.

Key Responsibilities:
  • Present compelling scientific presentations and develop scalable solutions using biological problem statements and multi-omics data.
  • Analyse large amounts of omics (genomics, transcriptomics, proteomics, metabolomics) biological data to derive relevant insights using state-of-the-art statistical methods.
  • Innovate to 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 experts to translate customer requirements into innovative solutions.
Requirements:

A PhD or Masters degree 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.
Desirable Qualifications:

Familiarity with 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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