Senior Computational Data Analyst

4 days ago

Malappuram, Kerala, India beBeeBioinformatics Full time ₹ 1,50,00,000 - ₹ 2,20,00,000

Unlock Your Potential in Bioinformatics

Job Description:

About the Role:

We are seeking a Senior Bioinformatics Scientist with expertise across multi-omics data types (single-cell, proteomics, metabolomics) and familiarity with EHR. The ideal candidate will bring strong computational skills to deliver impactful solutions through our platform.

The 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:

  • Present compelling scientific presentations and develop scalable solutions based on biological problem statements and multi-omics data.
  • 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 to translate customer requirements into innovative solutions.

Required Skills and 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.

Benefits:

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.

Others:

Good understanding of biology and computational methods.

Ability to analyze high-dimensional omics data.

Strong problem-solving skills.

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