1+ months

Postdoctoral Research Fellow

Pfizer
Cambridge, MA 02139
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**ROLE SUMMARY**

The Simulation & Modeling Sciences (SMS) team seeks a postdoctoral researcher interested in research at the intersection of bioinformatics and machine learning, with a focus on developing methods for single-cell transcriptomics. We are looking for applicants with a demonstrated research background in machine learning, familiarity with computational biology/bioinformatics, and the ability to translate ideas from theory to practical applications.



Our group is comprised of experts from across computational, chemical, and biological sciences, providing an environment for multidisciplinary research with access to rich data sources across Pfizer's R&D 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 machine learning-including generative models-but should be broadly interested in other approaches that can be leveraged to enable impactful analyses and modeling of single-cell transcriptomic data.



**ROLE RESPONSIBILITIES**



+ Participate in cutting-edge research in machine learning leveraging Pfizer's in-house data and compute infrastructure. Specific subfields of research may include generative models, active learning, meta-learning, and reinforcement learning.

+ Write well-documented, tested code as part of Pfizer's stack within a high-performance scientific computing environment.

+ Work closely with other groups within SMS as well as other partners across R&D to develop algorithms and models.

+ Effectively communicate the value and efficacy of new methods to technically diverse internal audiences.

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



**BASIC QUALIFICATIONS**



+ Ph.D. in Computer Science, Statistics, Bioinformatics, Computational Biology, Applied Math, or related technical field.

+ Undergraduate-level biology and/or chemistry coursework.

+ Publications and presentations at conferences or workshops

+ Programming experience in Python and one or more of the following: C++, Lua, Java, Scala.

+ Experience with one or more of the following: PyTorch, TensorFlow, JAX, Caffe, Pyro.



**PREFERRED QUALIFICATIONS**



+ Research experience in developing machine learning methods for life science applications in industry or academia.

+ Advanced coursework in biology or chemistry.

+ Programming experience with GPUs/CUDA.

+ Strong portfolio of open-source software available on GitHub, GitLab, etc.



**Other Job Details:**



+ \#LI-PFE



**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: 2020-08-20 Expires: 2020-10-22
Sponsored by:
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Postdoctoral Research Fellow

Pfizer
Cambridge, MA 02139

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