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Computational Biologist

il y a 7 jours


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Our Computational Biology Team plays a key role in developing prediction and optimization tools for payload design and manufacturing for  gene and cell therapy. We analyze complex  multi-omic datasets, particulary single-cell RNA-seq and DNA –based assays , to support our research efforts to improve drug design in gene and cell therapy. The Computational Biologist will actively participate to the development of WLG's In-silico tools, pipelines and models.

As a Computational Biologist, here's how you will make an impact:

You will:

  • Provide bioinformatics analyses and contribute to the development of innovative approaches for various research and customer projects in collaboration with the other technical teams

  • Develop and implement algorithms and statistical methods for the integration, visualization, and interpretation of complex biological datasets, with a strong focus on multi-omic data

  • Participate and actively collaborate within cross-functional and cross-thematic projects, working under the supervision and guidance of project managers

  • Support the improvement, design and maintenance of in-house data analysis pipelines and contribute to the integration of new computational methodologies and best practices

  • Assist in the validation of machine learning solutions for vector and synthetic promoter designs, help advance WhiteLab Genomics' internal R&D platforms

  • Contribute to hypothesis generation and experimental design in computational biology

  • Support internal research projects to advance core scientific methodologies, focusing on the development of methods leveraging multi-omic data to optimize the design of DNA sequences used in cell and gene therapies

  • Present your findings and discoveries with the WhiteLab Genomics teams, enhancing our collective knowledge and contributing to our overall success