Senior Principal Scientist, Computational Chemistry, ADC Chemistry

Posted 17 Days Ago
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Washington, MI
Hybrid
117K-196K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
We’re in relentless pursuit of breakthroughs that change patients’ lives.
The Role
The role involves leading the development of novel payloads and linkers for antibody-drug conjugates (ADCs) using computational chemistry techniques. The candidate will analyze drug targets, design ADC components, and collaborate within multidisciplinary teams to enhance drug discovery processes, utilizing both traditional and AI-driven methodologies.
Summary Generated by Built In

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.
Our location is in Bothell, WA, near Seattle.
The successful candidate will be responsible for identifying key opportunities for computational chemistry to impact drug discovery at all stages ranging from target evaluation to hit identification to lead optimization and candidate selection. You will also utilize your computational chemistry and scientific programming expertise to identify methods that can address key challenges and impact drug discovery across the portfolio.
The candidate should have good communication and organizational skills and have the ability to work in a flexible, dynamic team environment. As an independent researcher and leading member of project teams in Oncology, you will have opportunities to make numerous direct contributions to Pfizer's drug discovery efforts.
ROLE RESPONSIBILITIES:

  • 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.


You will:

  • 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.


BASIC QUALIFICATIONS:

  • 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.


PREFERRED QUALIFICATIONS:
Preferred candidates will have leading-edge knowledge of the following areas with significant experience with most of them:

  • 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.


ORGANIZATIONAL RELATIONSHIPS

  • 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.


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.
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT
REQUIREMENTS
Occasional travel to Pfizer La Jolla is expected for key interactions with La Jolla Computational Chemistry, Medicinal Chemistry and Structural Biology
Additional Information:

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


The annual base salary for this position ranges from $117,300.00 to $195,500.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
Sunshine Act
Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
EEO & Employment Eligibility
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. This position requires permanent work authorization in the United States.
Research and Development

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Computational Chemistry

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