Computational Biologist

    Computational Biologist at Bengaluru, Karnataka

    Website Randstad

    Job Title: Computational Biologist

    Location: Bangalore, Karnataka

    Company: A client of randstad india

    Job Type: permanent

    Reference Number: JPC – 89626
    Job Closes: 12 November 2023


    • Data Analysis: Analysing large-scale biological datasets, including genomic, transcriptomic, proteomic, and metabolomic data, to extract meaningful information and identify patterns, trends, and potential biomarkers.
    • Algorithm Development: Designing and developing computational algorithms, mathematical models, and statistical methods to interpret biological data, simulate biological processes, and solve specific research questions.
    • Bioinformatics Tools: Utilizing a range of bioinformatics tools and software to process, analyse, visualize, and interpret biological data. This includes using programming languages such as Python, R, and specialized tools for sequence analysis, structural biology, and
    pathway analysis.
    • Database Management: Managing and curating biological databases, ensuring data accuracy, consistency, and accessibility. Developing and maintaining databases for efficient storage and retrieval of biological information.
    • Molecular Dynamics: Perform molecular dynamics simulations to investigate the dynamic behaviour of biological molecules, including proteins, nucleic acids, and lipid membranes.Analyse simulation trajectories to extract insights into the conformational changes, energy
    landscapes, and intermolecular interactions within the simulated systems.
    • Genomic Analysis: Conducting genome-wide association studies (GWAS), variant analysis, and functional annotation to identify genetic factors associated with diseases and traits.
    • Protein Structure Prediction: Using computational methods to predict and model protein structures, interactions, and functions, aiding drug discovery and protein engineering efforts.
    • Network Analysis: Constructing and analysing biological networks, including gene regulatory networks, protein-protein interaction networks, and metabolic pathways, to understand complex biological systems.
    • Collaboration: Collaborating with experimental biologists, geneticists, clinicians, and other researchers to design experiments, interpret results, and provide insights that bridge computational and experimental approaches.
    Experience: 10

    To apply for this job please visit