6 дней назад
Computational Chemistry Principal Research Scientist (Computational Drug Design, AI)
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) (computational chemistry and drug discovery): Designing and optimizing small-molecule drug candidates through molecular modeling, cheminformatics, data science, and AI-enabled methods with an accent on structure-based design, ADME/DMPK integration, and interdisciplinary discovery programs. Focus on developing molecular design and prediction methods, influencing discovery strategy, and guiding scientists through complex computational drug design challenges.
Location: Boston, Massachusetts; hybrid with at least 3 days per week onsite, or onsite five days per week with ad hoc flexibility
Base salary: $144,800–$217,200 annually, plus eligibility for an annual bonus and annual equity awards.
Company
Vertex is a global biotechnology company focused on scientific innovation and the development of medicines.
What you will do
- Apply computational chemistry methods and tools to accelerate hit identification, lead optimization, and drug candidate design.
- Provide scientific leadership across multiple discovery programs and influence computational design strategy.
- Partner with medicinal chemists and interdisciplinary research 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 approaches for molecular design, prediction, and decision support.
- Communicate findings 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 demonstrated progression in scientific leadership.
- Deep knowledge of state-of-the-art computational chemistry and drug discovery applications.
- Strong expertise in structure-based drug design and small-molecule optimization.
- Experience with molecular modeling software, modern AI computational methods, programming, and data analysis; Python expertise is expected.
- Strong communication, presentation, interpersonal, and strategic decision-making skills.
Nice to have
- Experience with beyond-rule-of-five modalities.
Culture & Benefits
- Continuous learning and encouragement to stay current with AI, technology, automation, and industry trends.
- Medical, dental, and vision benefits.
- Generous paid time off, including summer and winter company shutdowns.
- Educational assistance programs, including student loan repayment.
- Commuting subsidy, charitable donation matching, and 401(k).
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