Senior Bioinformatics Specialist

4 days ago

Gandhinagar, Gujarat, India beBeeBioinformatics Full time ₹ 15,00,000 - ₹ 21,00,000

Job Opportunity:

We are seeking a Senior Bioinformatics Specialist to join our team. The ideal candidate will have a PhD in Bioinformatics or Biotechnology and hands-on experience in clinical projects.

About the Role:

The successful candidate will apply their deep understanding of biology and computational methods to analyze high-dimensional omics data, knowledge graph construction, generate actionable insights, and support clients in solving complex biological problems.

Key Responsibilities:

  • Use your understanding of biological problem statements and multi-omics data to present compelling scientific presentations and develop scalable solutions.
  • Analyse multi-omics (genomics, transcriptomics, proteomics, metabolomics, etc) 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 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.

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