Bioinformatics Expert Seeking Collaboration

2 days ago

Kanpur, Uttar Pradesh, India beBeeBioinformatics Full time ₹ 1,50,00,000 - ₹ 2,10,00,000
Senior Bioinformatics Scientist Role Summary

About the Opportunity:

Elucidata is seeking a seasoned Senior Bioinformatics Scientist to join our team. The ideal candidate will have a deep understanding of biology and computational methods, as well as hands-on experience in clinical projects. This role involves applying expertise across multi-omics data types (single-cell, proteomics, metabolomics) and familiarity with EHR, enabling the delivery of impactful, AI-driven solutions through Elucidata's platform.

Key Responsibilities:

  1. Use biological problem statements and multi-omics data to present compelling scientific presentations and develop scalable solutions.
  2. Analyse multi-omics (genomics, transcriptomics, proteomics, metabolomics, etc) biological data to derive relevant insights using state-of-the-art statistical methods.
  3. Innovate to develop and optimize tools, pipelines, and algorithms for the analysis and visualization of multi-omics biological data.
  4. Contribute to the ideation & deployment of knowledge graphs and structured data models, ensuring datasets are AI/ML-ready for downstream applications.
  5. Collaborate with a diverse team of ML specialists, data scientists, and bioinformatics engineers to translate customer requirements into innovative solutions.
Requirements

To succeed in this challenging role, you must possess:

  • A 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.
  • Excellent communication and presentation skills, with the ability to work effectively in a collaborative environment.
Desirable Qualifications

The following qualifications would be advantageous:

  • 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.
  • Previous experience in customer collaboration and successful project delivery.

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