Computational Medicinal Chemist
$126,000–$234,000 year
HybridSan Diego, California, United States
Job Summary
Design medicinal chemistry efforts by applying structure-activity relationships, structure-based drug design, and machine learning to small molecule discovery. Thrive at the intersection of experimental and digital technologies, developing predictive models based on high-content screening data and imaging techniques. Stay abreast of scientific literature to incorporate biological insights into lead characterization and screening initiatives. Collaborate with interdisciplinary teams to facilitate decision-making throughout target identification, lead optimization, and drug candidate nomination. Drive hypothesis generation for programs involving small molecules, peptides, and protein degradation while taking a leading role in cross-disciplinary mechanistic studies using physics-based modeling and simulation.
Required Qualifications
- PhD in medicinal chemistry, computational chemistry, computational biology, computational chemical biology, or a related field
- 3+ years of experience working with project teams in a drug discovery environment
- Proven track record of innovation through analogue design, leading to significant impact on discovery projects
- Familiarity with computational drug design tools (e.g. Schrdoinger, CCG, OpenEye, etc.)
- Familiarity with high-performance computing environments
- Strong publication history in peer-reviewed journals
- Proactively anticipates project needs with a clinical focus
- Demonstrates rigor and diligence in idea substantiation, analogue design, and experimentation
- Strong team orientation with multitasking and adaptability in support and leadership roles
- Effective listener with excellent written and oral communication skills
- Proficient in data visualization to effectively communicate insights
- Artificial Intelligence (AI)
- Biostatistics
- Data Governance
- Data Literacy
- Data Quality
- Data Science
- Data Visualization
- Deep Learning
- Graph Algorithms
- Learning Agility
- Machine Learning (ML)
- Machine Learning Algorithms
- Python (Programming Language)
- Stakeholder Engagement
- Statistical Analysis
- Time Series Analysis
Desired Qualifications
- Candidates with a laboratory-based background in chemistry and biology, supplemented with strong computational experience
- MS applicants with 6+ years of relevant Pharma/biotech experience
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