Computational Biologist for Omics Analysis

5 days ago

Kolhapur, India beBeeBioinformatician Full time

Job OpportunityAs a computational biologist, you will play a pivotal role in our Bioinformatics team, focusing on Omics (NGS) analysis and downstream systematic interpretation.The successful candidate will be responsible for developing novel pipelines to optimize omics analysis implementation for our core service areas, including genomics data analysis, drug repurposing, biomarker identification, patient stratification, disease modelling, and data integration.Key Responsibilities:Work with diverse customers/partners in drug discovery and development;Collaborate with a multi-disciplinary team of PhD level scientists;Responsible for day-to-day operational activities of Omics (NGS) related projects;Stay up-to-date with relevant scientific and technical developments;Present results and scientific hypotheses to internal and external stakeholders.Requirements:Master's degree with 3 years of industrial experience in Bioinformatics, Computer Science, Computational Biology, or related field;Strong track record of scRNA-Seq and other Omics (NGS) data analysis and downstream systemic interpretation;Good understanding of current best practices in computational biology data-management (NGS/Transcriptomics/Microarray/Proteomics/Clinical-trials/Text-mining, etc.);Expertise in one or more programming/scripting languages such as R, Python, shell-script for complex data analysis;Experience with Docker and Nextflow;Strong background in population genomics, including GWAS, eQTL/pQTL analyses WES/WGS sequencing data analyses, and statistical analyses of rare and common variants;Familiarity with machine learning is an added advantage;Experience with Linux environment or cloud computing (AWS/GCP) is a plus;Experience with Relational database such as Postgres, MySQL, or Oracle;Experience with version control systems such as GitHub;Ability to generate in-silico experimental workflows and in-depth knowledge in proprietary and public biological databases, methods, and tools;Ability to generate scientific hypothesis along with good scientific/technical communication skills.

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