Senior Omics Data Analyst

1 day ago

Jamnagar, Gujarat, India beBeeBioinformatician Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Unlock Career Opportunities in Bioinformatics and Life Sciences

About the Role:

We seek a seasoned professional with expertise across multiple data types (single-cell, proteomics, metabolomics) and familiarity with electronic health records. This customer-facing role involves applying deep understanding of biology and computational methods to analyze high-dimensional omics data, generate actionable insights, and support clients in solving complex biological problems.

Key Responsibilities:

  • Present compelling scientific presentations and develop scalable solutions based on biological problem statements and multi-omics data.
  • Analyze multi-omics biological data using state-of-the-art statistical methods to derive relevant insights.
  • Develop and optimize tools, pipelines, and algorithms for analyzing and visualizing multi-omics biological data.
  • Contribute to ideating and deploying knowledge graphs and structured data models, ensuring datasets are AI/ML-ready for downstream applications.
  • Collaborate with diverse teams to translate customer requirements into innovative solutions.

Requirements:

  • PhD (0-2 years of experience) or Master's (3-5 years of experience) in bioinformatics, computational biology, biotechnology, or related fields with demonstrated work in clinical projects.
  • Proven expertise in processing and analyzing omics data to derive actionable insights and integrate clinical data.
  • Proficiency in programming languages like Python or R.
  • Hands-on experience with computational algorithms and statistical methods on structured and unstructured big data.
  • Successful collaboration and independent work history.

Benefits:

  • Excellent communication and presentation skills.
  • Able to work effectively in a collaborative environment.

Good-to-have Skills:

  • 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.
  • Cloud technologies and scalable computing platforms.
  • Previous experience in customer collaboration and successful project delivery.

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