Computational Medicinal Chemist
Tasks
- Apply active learning for lead optimization
- Apply machine learning for drug discovery
- Apply physics based CADD methodologies
- Assess on target and off target activity
- Build predictive models from high content screening data
- Build predictive models from time resolved screening data
- Collaborate on lead optimization decisions using screening data
- Conduct biophysical characterization studies
- Conduct lead characterization using biological insights
- Design strategic targeting mechanisms of action
- Develop ligand based drug design models
- Develop structure based drug design models
- Drive medicinal chemistry efforts using SAR
- Evaluate physical properties
- Evaluate synthetic feasibility
- Generate hypotheses to improve clinical success
- Perform physics based modeling and simulation
- Predict pharmacokinetics and pharmacodynamics
- Use imaging techniques for screening analysis
- Validate compounds using cellular assays
Perks/Benefits
- 401k match
- Comprehensive benefits package
- Disability insurance
- Equity awards eligible
- Health insurance
- Life insurance
- Paid time off
Skills/Tech-stack
Active Learning | Data Visualization | Deep learning | Drug design | High Performance | High-Performance Computing | Ligand-based drug design | Machine Learning | Molecular Docking | Performance Computing | Pharmacodynamics | Pharmacokinetics | Physics-Based Modeling | Python | Series analysis | Statistical Analysis | Structure-Based Drug Design | Structure-activity relationship | Time Series | Time Series Analysis
Education
Regions
Countries
States
Cities
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