Lead Biomedical Data Analyst

1 week ago

Mysore, Karnataka, India beBeeBioinformatics Full time ₹ 15,00,000 - ₹ 20,00,000
Senior Bioinformatics Scientist

About the Opportunity:

We are seeking a Senior Bioinformatics Scientist with expertise in clinical projects. The ideal candidate will bring strong expertise across multi-omics data types (single-cell, proteomics, metabolomics) and familiarity with electronic health records to deliver impactful AI-driven solutions through our platform.

This customer-facing role requires a deep understanding of biology and computational methods to analyze high-dimensional omics data, generate actionable insights, and support clients in solving complex biological problems.

  • Main Responsibilities:
  • Analyze 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 to prepare datasets for downstream applications.
  • Collaborate with a diverse team to translate client requirements into innovative solutions.
  • Foster account growth and nurture client relationships.

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

Preferred Qualifications:

  • 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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