Next-generation medicine design is no longer about small molecule enzyme inhibitors! Traditional targets and modalities that have provided rich substrates for drug design and decades of productive industrial and academic research are not the only targets of the future. There is a slow but steady shift in the target landscape and new modalities such as protein degraders, molecular glues, covalent inhibitors, RNA therapeutics, vaccines and gene therapies are areas of intense scientific research.
Towards this exciting future, we are seeking highly creative, independent, enthusiastic, versatile and motivated computational chemists with a strong background in structure-based and ligand-based drug design to join the Computational Chemistry group within Discovery Sciences in Groton, CT. The successful applicant will interface with domain area experts in computational sciences, medicinal chemistry, structural biology, analytical chemistry, pharmacology, PDM and disease biology groups, and will be accountable for developing and delivering computational solutions for key medicine design project team endpoints.
- Develop and deliver timely, high-quality computational solutions to cross-functional teams within Pfizer WRDM to drive design new modalities for challenging targets.
- Expert analysis of relevant data and literature to extract novel insights and drive hypothesis generation to result in higher clinical success rates for new modalities.
- Understand complex scientific problems in medicine design, analyze experimental results, propose solutions, communicate results and influence key stakeholders.
- Demonstrate ability to thrive in change when faced with uncertain, research problems.
- Provide computational expertise to Pfizer Discovery Sciences and global Computational Chemistry Network groups.
- Contribute to publishing original concepts and research work in peer-reviewed journals and presenting at conferences.
- Ph.D. in computational chemistry or a related discipline with no previous experience required.
- 1-3 years of experience in the biopharmaceutical industry or relevant post-doctoral work will be a plus
- Expert knowledge in computational chemistry principles, including both structure-based and ligand-based methods and ability to apply skills to pharmaceutical research.
- Broad expertise in other computational methods important for in silico target and lead discovery, including protein modeling and molecular dynamics, target druggability analysis, bioinformatics and cheminformatics.
- Demonstrated expertise in using multiple commercial and/or academic molecular modeling packages (such as Schrodinger, CCG, OpenEye, Biovia, Rosetta, Gaussian, MatLab) or equivalent open-source packages.
- Advanced knowledge in organic chemistry, physics and mathematics.
- Excellent track record of external publications
- Outstanding teamwork and communication abilities. Proven scientific influence via strong interpersonal and influencing skills.
- Fluency in one or more programming/scripting languages in the Linux environment.
- Ability to thrive in a dynamic work environment, change agile, fast learner and active contributor.
- Ability to perform mathematical calculations, complex data analysis and long hours in front of a computer screen.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS
- Occasional business travel, mostly in the New England, US area
Other Job Details:
- Eligible for Relocation Package: yes
- Eligible for Employee Referral Bonus: yes