5 дней назад
Computational Chemistry Principal Research Scientist (Computational Drug Design)
144 800 - 217 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Computational Chemistry Principal Research Scientist (Computational Drug Design) (AI-enabled drug discovery): Applying computational chemistry, molecular modeling, cheminformatics, data science, and AI-enabled methods to identify and optimize safe and efficacious drug candidates with an accent on structure-based design, compound profiling, and interdisciplinary discovery programs. Focus on integrating structural, biological, and ADME/DMPK data, advancing molecular design and prediction methods, and guiding scientists across multiple programs.
Location: Boston, MA; hybrid work requiring 3 days per week onsite. An onsite option with five days per week onsite is also available.
Base salary: $144,800–$217,200 annually, plus potential annual bonus and equity awards.
Company
Vertex is a global biotechnology company focused on scientific innovation.
What you will do
- Apply computational chemistry methods and tools to accelerate drug candidate discovery and design.
- Lead computational strategy across multiple hit identification, lead optimization, and discovery programs.
- Partner with medicinal chemists and interdisciplinary teams to generate design hypotheses and guide experimental decisions.
- Integrate structural, biological, and ADME/DMPK data to optimize compound profiles.
- Evaluate and advance AI-enabled methods for molecular design, prediction, and decision support.
- Communicate recommendations to project teams and leadership, mentor junior scientists, and contribute to computational best practices.
Requirements
- Ph.D. or equivalent degree in Computational Chemistry.
- 6+ years of relevant experience in computational drug design with progression in scientific leadership.
- Strong expertise in structure-based drug design and small-molecule optimization.
- In-depth knowledge of modern computational chemistry and drug discovery concepts.
- Experience with commercial and open-source molecular modeling software.
- Strong programming, data analysis, communication, and presentation skills, including expertise in Python or similar scripting languages.
Nice to have
- Experience with beyond-rule-of-five modalities.
- Experience leveraging modern AI capabilities for drug design and discovery.
Culture & Benefits
- Collaborative work within interdisciplinary project teams and a global Data and Computational Sciences group.
- Medical, dental, and vision benefits.
- Paid time off, including summer and winter company shutdowns.
- Educational assistance, including student loan repayment programs.
- Commuting subsidy, charitable donation matching, and 401(k) benefits.
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