1+ months

Postdoctoral Research Fellow, Machine Learning in Drug Design

Cambridge, MA 02139
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The Simulation & Modeling Sciences team seeks a postdoctoral researcher interested in applying reinforcement learning to accelerate pharmaceutical drug design. We are looking for applicants with a research background in reinforcement learning, familiarity with organic chemistry, and the ability to translate ideas from theory to practical drug discovery applications.

Our group sits at the intersection of computational, chemical, and biological sciences, providing an environment for multidisciplinary applied research with access to heterogeneous data sources across Pfizer's discovery and development organization. Additionally, we have close links to top academic institutions around the world as well as with internal partners and research units. The post-doctoral researcher will primarily focus on areas within reinforcement learning-including deep and end-to-end reinforcement learning, inverse reinforcement learning, game theory, and decision theory-but should be broadly interested in machine learning algorithms that can be leveraged to enable faster drug design and optimization


+ Evaluate and apply a variety of modern reinforcement learning algorithms to drug design.

+ Leverage Pfizer's proprietary data, in-house software, and compute infrastructure to develop scalable tools and automated workflows to assist with early-stage drug discovery.

+ Write well-documented, tested, modular code individually and collaboratively atop Pfizer's Python/C++ technical stack within a high-performance scientific computing environment.

+ Effectively communicate the advantages and caveats of developed algorithms to technically-diverse internal audiences and foster partnership across medicinal sciences R&D.

+ Collaborate with design teams across the medicinal sciences organization to apply reinforcement learning algorithms to active drug discovery projects.

+ Design and publish articles in top peer-reviewed journals in the field and deliver scientific and technical presentations at internal and external venues.


+ Ph.D. in Computer Science, Computational Chemistry, or a related technical field with thesis work in machine learning

+ Undergraduate-level Organic Chemistry

+ Well-cited journal publications and presentations/publications at conferences or workshops (such as CVPR, ICCV, ECCV, NIPS, ICML, ICLR, UAI, AISTATS, etc.)

+ Programming experience in Python and/or C++ Experience with Torch and/or TensorFlow


+ Research experience working applying machine learning to chemistry in industry or academia

+ Advanced coursework in organic or medicinal chemistry

+ Programming experience with GPUs

+ Strong portfolio of open-source software


**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.

Research and Development
Posted: 2020-03-18 Expires: 2020-05-29
Sponsored by:
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Postdoctoral Research Fellow, Machine Learning in Drug Design

Cambridge, MA 02139

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