We are seeking a talented and enthusiastic computational biologist to work on cutting-edge projects that have a significant impact on patient care and medical research.
- Computer-aided drug discovery for hit identification.
- Protein engineering
- De novo protein design and computational evaluation
- Develop and implement computational models to study protein structures.
- Computational antibody engineering
- Conduct molecular docking, dynamics simulations, and free-energy calculations.
- Experience in handling protein structure prediction tools
- Collaborate with experimental scientists to validate computational predictions.
- Maintain and optimize computational pipelines for high-throughput analysis.
- Data Analysis and Interpretation
Required Skills :
Machine learning-based platforms for protein engineering and modeling (AlphaFold, RFDiffusion, RosettaFold)Generative AI for small molecule and peptide designQualificationMaster's degree / PhD in Bioinformatics, Computational structural biologyProficiency in programming languages such as Python or R, or Java.Strong expertise in structural modeling tools (e.g., Rosetta, PyMOL, Chimera).Experience in docking (Glide, AutoDock Vina, HADDOCK) and molecular dynamics simulations (AMBER, GROMACS. Desmond) etcExperience in downstream analysis tools such as MMPBSA, FEPImmunoinformatic, computational protein engineering toolsBenefits :
A dynamic and innovative team environment.Opportunities for professional growth and development.A competitive salary and benefits package.Soft Skills :
Ability to work independently and collaboratively in a team-based environment.Excellent problem-solving skills and the ability to think critically and analytically.Emphasize interpersonal and problem-solving skills.Strong communication and teamwork abilities.Critical thinking and attention to detail.Ability to manage multiple projects and meet deadlines