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Date: Mon Oct 31 21:36:19 2016
Subject: 16.10.31 Pfizer - Principal Scientist - Computational Methods Developer, 1041483

Pfizer - Principal Scientist - Computational Methods Developer, 1041483

To be considered for this position, please apply at www.pfizercareers.com, Job ID: 1041483

About Pfizer
A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the biopharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

Role Description
The Pfizer Computational Sciences group has an opening for a computational methods developer. The successful candidate will work in close collaboration with groups across Medicinal Sciences organization and will utilize his/her theoretical chemistry, machine learning, and scientific programming experience to address challenging problems covering a wide range of research and development activities within Pfizer R&D. To be successful in this role, the incumbent must have the talent and skills to rapidly prototype and implement effective and powerful computational solutions.

Responsibilities

  • Leverage the scale of Pfizer proprietary data, design applications, and compute infrastructure in conjunction with commercial tools and data sources to develop powerful computational solutions
  • Develop and apply theoretical and machine learning techniques for modeling and prediction of important physicochemical properties of drug candidates such as solubility, melting point, and low-energy crystal forms
  • Implement custom workflows to streamline execution of complex compute tasks that empower project teams to take advantage of the state of the art computational techniques in their decision making
  • Develop methods to support analysis and visualization of large datasets
  • Be on top the current computational chemistry literature; proactively identify, assess, and internalize promising methods and tools

Qualifications

  • Ph.D. in computational chemistry, materials science, chemical engineering, biophysics, computer science, or related discipline
  • 3-5 years experience in the bio-pharmaceutical industry
  • Experience with Unix/Linux and HPC environments and strong programming skills (e.g. Python and C/C++); familiarity with debugging and profiling tools
  • Familiarity with key concepts in theoretical chemistry including the fundamentals and applications of DFT methodology
  • Familiarity with data science and machine learning algorithms and tools (e.g. Random Forest, Support Vector Machine, Neural Networks, Deep Learning; Sci-kit Learn; R; MATLAB)
  • Demonstrated track record of algorithms and computational methods development
  • Familiarity with standard QM and computational chemistry software packages and toolkits (such as Gaussian; TeraChem; OpenEye toolkits and applications; Maestro and Schrodinger suite; MOE; AMBER; and CHARMM)
  • Excellent communication and interpersonal skills

Equal Employment Opportunity
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer.



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