Elucidata Bioinformatics Scientist Job For MSc & PhD Bioinformatics, Comp Bio, Biotech

Elucidata Bioinformatics Scientist Job For MSc & PhD Bioinformatics, Comp Bio, Biotech

Senior Bioinformatics Scientist

About the job

Your Role:

Elucidata is seeking a bioinformatics enthusiast for the role of Senior Bioinformatics Scientist. In this role, you will get the opportunity to lead and manage customer-facing projects and multidisciplinary teams, apply your data science skills to solve complex biological problems, improve the understanding of biological systems and diseases and accelerate drug discovery using machine learning and AI.

Key Responsibilities:

  • Use your understanding of biological problem statements and omics data to present compelling scientific presentations and develop solutions on the product.
  • Hands on experience in processing and analysing bulk and single-cell transcriptomics data.
  • Analyse multi-omics (proteomics, metabolomics, transcriptomics etc) biological data to derive relevant insights using state-of-the-art statistical methods.
  • Innovate to implement new tools and pipelines, improve existing pipelines and algorithms for multi-omics biological data analysis and visualization.
  • This role also brings the opportunity to work with a dynamic team of data scientists, product managers and engineers to translate customer requirements into exciting results, features and products on our platform.
  • Work closely with account managers to nurture and grow accounts.

Requirements:

  • PhD or Masters (with 3-4 years of relevant experience) in Bioinformatics, Computational Biology, Biotechnology or related technical discipline.
  • Relevant experience in multi-omics data analysis, development of scalable bioinformatics pipelines and experience with public omics repositories (eg. TCGA, GEO, CCLE, DepMap etc)
  • Proficient in a programming language used for data analysis such as Python and/or R.
  • Hands-on experience applying computational algorithms and statistical methods to structured and unstructured big data.
  • Demonstrated success in collaboration, and independent work.
  • Excellent communication and presentation skills.
  • Experience of having led teams and projects is preferred.

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