The Drug Product Design department is a global R&D organization that develops new medicines for unmet medical needs. Digital design is a key part of the science and technology strategy for the department. We are actively seeking to hire creative scientists and engineers with computational chemistry expertise. The Computational Materials Science Leader will apply state-of-the-art computational chemistry and crystallographic tools to calculate the solid-state properties of Pfizer molecules to streamline experimental efforts and to design better medicines.  This will enable Pfizer project teams to de-risk their programs and to move rapidly into clinical studies with the ultimate goal of commercialization.  The role is highly collaborative, requiring extensive work on multi-disciplinary project teams.  With this role there is also a significant opportunity to publish peer reviewed research and to develop novel computational methods, addressing gaps in our current knowledge and capabilities.

 

Responsibilities 

•  Paint a compelling vision for the future direction of computational modelling as an enabler of drug product development
• Provide leadership to a community of computational chemists and materials scientists to help deliver Pfizer’s new product portfolio
• Apply established computational approaches to portfolio to drive decision making and experimental design
• Train and mentor colleagues in computational techniques 
• Collaborate with both subject matter experts (SMEs) and non-SMEs to drive the adoption of computational tools and approaches
• Bringing external scientific and computational advances to bear on day-to-day problem solving

 

Basic Qualifications

• Candidate is likely to have a PhD in Chemistry, Physics, Materials Science or Engineering, or a closely related discipline with 5-10 years of post graduate experience, or a Master’s degree in these disciplines with 10-15 years of relevant experience in industry or academia.

• Advanced programing and scripting skills (such as Python, R, Jupyter Notebook, GitHub, etc)
• Strong coding skills in a scientific programming language (such as C/C++, Python, Perl) with demonstrated evidence of coding expertise and data analysis.
• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

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