Computational Biologist

🧬 Computational Biologist - Gene & Cell Therapy 🧬

Our Computational Biology Team is at the forefront of developing prediction and optimization tools for payload design and manufacturing in gene and cell therapy. We dive deep into complex multi-omic datasets, especially single-cell RNA-seq and DNA-based assays, to fuel our research and enhance drug design in this exciting field.

As a Computational Biologist, you'll be instrumental in shaping WhiteLab Genomics' in-silico tools, pipelines, and models.

🚀 Your Impact:

You will:

• Provide bioinformatics analyses and contribute to the development of innovative approaches for various research and customer projects, collaborating closely with other technical teams.
• Develop and implement algorithms and statistical methods for the integration, visualization, and interpretation of complex biological datasets, with a strong emphasis on multi-omic data.
• Participate and actively collaborate within cross-functional and cross-thematic projects, working under the guidance of project managers.
• Support the improvement, design, and maintenance of in-house data analysis pipelines, contributing to the integration of new computational methodologies and best practices.
• Assist in the validation of machine learning solutions for vector and synthetic promoter designs, helping to 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 developing methods that leverage multi-omic data to optimize the design of DNA sequences for cell and gene therapies.
• Present your findings and discoveries to the WhiteLab Genomics teams, enriching our collective knowledge and contributing to our overall success.