Key Responsibilities

Develop and apply AI & computational models in SMOL, mAb, and Gene & RNA therapy design and development.

They are specifically looking for Ph.D. & Postdoc candidates who can contribute to the following areas:

1. Disease studies to identify new targets, uncover mechanisms of action and stratify patient populations using the power of:
   • Single-cell multi-omics (scRNA-seq, Proteomics, Spatial Omics, Epigenomics …)
   • Whole genome sequencing (WGS) and Proteogenomics
   • High-throughput pre-clinical experimentation datasets
2. De novo design, characterization, and optimization of therapeutic candidates in silico using computational omics and chemistry models and AI, e.g:
   • Antibody engineering
   • RNA design and optimization
   • Viral Vector optimization for advanced cell and gene therapies
3. Analysis and optimization of bio-synthesis reactions using the power of AI/ML and computational modeling of underlying cellular processes.

6 month internship prior to FTE is mandatory for the 1^st time industrial experience candidates

Ph.D/Post Doc candidates in Computational biology or related field

Experience in Computational Omics.

For more details click here