Key Responsibilities & Skills
- Sequence-aware Predictive Modeling
- Oligonucleotide Therapeutics Design
- Exon-skipping Prediction
- Multi-objective Optimization
- Protein Structure Modeling
- AntibodyAntigen Interaction Modeling
- Experimental Validation Integration
- Multidisciplinary Collaboration
- Peptide Design
- De Novo Antibody
- RNA
Technical Skills
- R
- Deep Learning Frameworks
- Docker
- AWS (Cloud Computing)
- Python
- Pytorch
- JAX
- TensorFlow
- scikit-learn
- ESM
- RNA-FM
- AlphaFold
- RoseTTAFold
- Schrodinger
- MOE
- Git
- GitHub
- Gitlab
Education
Ph.
D. in Computational Biology, Computational Chemistry, Machine Learning, Bioengineering, Chemical Engineering, Biophysics. Preferred: Postdoctoral Fellowship, Master's in Computer Science, Master's in Bioinformatics, Master's in Data Science.
Industry Experience
- Pharmaceutical
- Biotech
- Therapeutics Development
- Nucleic Acid Therapeutics
- Antibody Engineering
- Computational Drug Discovery
Rate:
Not specified
Location:
Remote
IR35 Status:
Outside
Remote Status:
Remote
Industry:
AI & Machine Learning
Seniority Level:
Not Specified