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Principal Scientist / Computational Chemist(m/w/x)
Driving novel drug molecule design with AI/CADD and large-scale data analysis for therapeutic applications. PhD with 3+ years in-silico drug discovery experience and expert computational drug design knowledge required. Work in multidisciplinary drug discovery teams across therapeutic areas.
Requirements
- PhD with productivity in computational chemistry, AI, machine learning, medicinal chemistry, or relevant scientific discipline
- ≥3 years professional experience in in-silico drug discovery
- Expert knowledge in computational drug design
- Expertise in computational method development and implementation
- Hands-on experience in big data analysis and predictive model development for drug discovery
- Sound background in medicinal chemistry
- Strong interpersonal, organizational, communication, and teamwork skills
- Leadership skills for internal projects and external collaborations
- Strong passion for science and interdisciplinary teamwork ability
Tasks
- Drive the design of novel drug molecules
- Apply state-of-the-art AI and computational methods
- Analyze large-scale datasets for drug design applications
- Identify and optimize novel therapeutic molecules using CADD
- Contribute to multidisciplinary drug discovery teams across therapeutic areas
- Engage with the computational and medicinal chemistry community
- Communicate results to experts across scientific disciplines
- Present methodologies and findings to peers and stakeholders
Work Experience
- 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Benefits
Startup Environment
- Opportunities to collaborate
Informal Culture
- Work with diverse teams
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Principal Scientist / Computational Chemist(m/w/x)
Driving novel drug molecule design with AI/CADD and large-scale data analysis for therapeutic applications. PhD with 3+ years in-silico drug discovery experience and expert computational drug design knowledge required. Work in multidisciplinary drug discovery teams across therapeutic areas.
Requirements
- PhD with productivity in computational chemistry, AI, machine learning, medicinal chemistry, or relevant scientific discipline
- ≥3 years professional experience in in-silico drug discovery
- Expert knowledge in computational drug design
- Expertise in computational method development and implementation
- Hands-on experience in big data analysis and predictive model development for drug discovery
- Sound background in medicinal chemistry
- Strong interpersonal, organizational, communication, and teamwork skills
- Leadership skills for internal projects and external collaborations
- Strong passion for science and interdisciplinary teamwork ability
Tasks
- Drive the design of novel drug molecules
- Apply state-of-the-art AI and computational methods
- Analyze large-scale datasets for drug design applications
- Identify and optimize novel therapeutic molecules using CADD
- Contribute to multidisciplinary drug discovery teams across therapeutic areas
- Engage with the computational and medicinal chemistry community
- Communicate results to experts across scientific disciplines
- Present methodologies and findings to peers and stakeholders
Work Experience
- 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Benefits
Startup Environment
- Opportunities to collaborate
Informal Culture
- Work with diverse teams
About the Company
Sanofi-Aventis Deutschland GmbH
Industry
Pharmaceuticals
Description
Das Unternehmen bietet Arzneimittel zur Prävention von Herz-Kreislauf-Erkrankungen an und setzt sich für die Verbesserung der Lebensqualität ein.
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