ROLE SUMMARY

The ADC (Antibody Drug Conjugate) Chemistry group is seeking a highly motivated, creative, and experienced computational chemist with a proven track record of success in drug discovery, to develop novel payloads and linkers for antibody-drug conjugates (ADCs).

You will apply your background in drug development, medicinal chemistry, and computational chemistry to develop new anticancer therapies. Your background in structure-based drug discovery is critical for this position. You will work collaboratively within the chemistry department and researchers across the biology and translational sciences. You will play a vital role as scientific leader and key contributor to large, multi-disciplinary, matrix teams from project inception to delivery of clinical drug candidates.

• Structure Based Drug Design(SBDD) and conformational analysis is a key responsibility, to optimize potency and physico-chemical properties of payloads and payloads-linkers.
• The primary responsibilities of suitable candidates will be to impact drug discovery projects by identifying the highest impact computational chemistry approaches for specific projects, and developing and delivering timely, high-quality computational solutions.

• Participate on multiple interdisciplinary project teams and play a key role in defining project strategies
• Analyze potential payload targets to assess their druggability and determine the most promising approaches.
• Payloads and linkers suitable for ADCs will be designed in collaboration with the design/synthesis chemists.
• Apply molecular modeling and dynamics, AI and homology modeling and related techniques to understand biological targets and the mechanisms of payloads
• Use both physics-based and AI/ML methods to impact compound design and screening, including design of parallel libraries and singletons.
• Bring new computational approaches from within global Computational Chemistry in Pfizer and the literature to speed ADC discovery.
• Define, implement, and influence project design strategy to deliver projects to key decision points.
• Influence science at both departmental and external level.
• People influence - effective mentor for colleagues in department.

• The position requires a PhD in computational chemistry or a related discipline and 5+ years of experience in the Biopharmaceutical Industry, applying computer aided drug discovery techniques to various stages of the drug discovery pathway.
• Leading-edge knowledge of computational chemistry principles and a track record of successfully applying them to biopharmaceutical research projects are required.
• The candidate should also have strong Linux and programming skills.
• The candidate should demonstrate the ability to work in a collaborative environment as exemplified by a strong publication record and should have a strong working knowledge of related disciplines in drug discovery such as medicinal chemistry, structural biology, pharmacology and biophysics, in vivo biology, drug metabolism and drug safety.

• Computational chemistry concepts and techniques (such as structure-based and ligand-based drug design; protein-ligand interactions, docking and scoring; virtual screening; cheminformatics; QSAR and predictive modeling; AI/ML-based protein modeling and homology modeling; molecular dynamics simulations; free energy perturbation methodologies; AI/ML and generative chemistry for drug design; and application of quantum chemical calculations to drug discovery).
• Standard computational chemistry software (such as the Schrodinger suite; CCG MOE; Pipeline Pilot; Gaussian; OpenEye)
• Programming and scripting skills (e.g. Python, Linux workflows); experience developing workflows using scientific, numeric, and chemistry libraries such as the OpenEye toolkits and simulation packages such as OpenMM, AMBER, GROMACS, and CHARMM,
• A strong working knowledge of related disciplines in drug discovery such as medicinal chemistry, structural biology, pharmacology and biophysics, in vivo biology, drug metabolism and drug safety
• 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.

• Will report to the Head of ADC Chemistry within Oncology Research.
• The candidate will be an integral part of project teams and work closely with medicinal chemistry designers, synthetic chemists, pharmacologists, in vivo biologists, structural biologists, and drug metabolism scientists. The candidate will also have opportunities to work with a great variety of experts from other scientific disciplines across Pfizer. In addition, there will be many opportunities to work with experts in areas such as AI/ML, scientific computing, statistics, and high-performance computing from throughout the Pfizer organization.

• Relocation support available
• Eligible for Employee Referral
• Work Location Assignment: On Premise