Principal Scientist, Computational Designer (Biologics & Peptides)
Tasks
- Assess affinity and specificity
- Assess stability and developability
- Build modeling pipelines
- Collaborate with wet lab teams
- Communicate results via reports and presentations
- Connect targets to modalities
- Define lead finding strategies
- Design antibodies and peptides
- Develop automated candidate workflows
- Develop reliable modeling workflows
- Drive drug discovery projects
- Generate and triage design hypotheses
- Integrate analytics across programs
- Integrate structural and omics data
- Interpret experimental data and iterate designs
- Partner with IT and HPC stakeholders
- Score and select candidates
Perks/Benefits
Skills/Tech-stack
Affinity Modeling | Aggregation Solubility Prediction | Antibody Design | Artificial Intelligence | Assay Data | Assay Data Interpretation | Bioinformatics | Biophysics | Cloud Computing | Computational Biology | Containers | CryoEM | Data Interpretation | Data integration | De Novo | De Novo Binder Generation | Developability assessment | Free Energy Scoring | Free energy | HPC | Interaction modeling | Liability Prediction | Machine Learning | Molecular Dynamics | Omics Data | PTM Liability Prediction | Peptide Design | Physics Based Scoring | Protein Interaction Modeling | Protein Ligand | Protein Ligand Interaction | Protein Ligand Interaction Modeling | Protein Protein Interaction Modeling | Protein modeling | Protein protein interaction | Solubility Prediction | Specificity Modeling | Stability Modeling | Structure prediction | Workflow Orchestration | X-Ray | X-ray crystallography
Education
Roles
Computational Designer | Designer | Principal | Principal Scientist | Scientist
Regions
Countries
States
Cities
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