Senior Biomedical Data Analyst

2 weeks ago

Salem, Tamil Nadu, India beBeeBioinformatics Full time ₹ 1,28,40,000 - ₹ 2,31,60,000
Job Description

About the Role:

We are seeking a Senior Bioinformatics Scientist with a PhD in Bioinformatics or Biotechnology and hands-on experience in clinical projects. The ideal candidate will bring strong expertise across multi-omics data types (single-cell, proteomics, metabolomics) and familiarity with EHR systems. This role is ideal for someone who thrives at the intersection of biology, data science, and collaboration, with strong communication skills and a passion for advancing life science research through data.

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 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.
Requirements

To be successful in this role, you will need:

  • 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.
Bonus Points

The following skills would be highly desirable:

  • 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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