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Sr. Computational Biologist, Oncology Drug Discovery

La Jolla, California
Closing date
Oct 9, 2022
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At Pfizer, we are applying cutting-edge computational methods on comprehensive datasets to elucidate the molecular mechanisms of disease and drive the development of novel therapeutics. Pfizer Oncology Computational Biology group is seeking a talented and highly motivated bioinformatician to join a team that develops innovative data and analytical solutions for oncology research and development. This new hire will lead the analysis of real-world clinical genomics data by developing and applying state-of-the-art computational approaches. This is an exciting opportunity to make an impact at all stages of drug discovery including target identification, translational research, and clinical testing in a dynamic, collaborative, and inter-disciplinary environment.


  • Develop and apply innovative AI/ML methods for the analysis of multi-omics and single cell genomics data from the real-world clinical settings.
  • Perform data mining analyses to identify novel drug targets and biomarker hypotheses and derive insights into drug resistance and mechanism of action.
  • Collaborate with experimental biologists to pursue scientific investigation and support technology development for application in clinical and translational research.
  • Contribute to publication efforts and the development of pipelines and systems for data analysis, integration, and management.


  • PhD in Bioinformatics/Computational Biology or a closely related field with 1-5 years of relevant experience in biopharmaceutical industry or academia.
  • Strong skills in scientific programming (R, Python or Perl) in the UNIX/LINUX environment.
  • Strong background in high-dimensional, multivariate data analysis.
  • Proven record of scientific accomplishment in applying computational approaches to solving biological problems.
  • Demonstrated ability to effectively communicate (oral and written) and multi-task.


  • Skills and experience in the development and application of statistical/machine learning/AI methods.
  • Skills and experience in multi-omics and/or single cell genomics data analysis and pipeline development.
  • Demonstrated ability to effectively interface with experimental biologists to communicate and discuss results.
  • Knowledge and experience with cancer biology and genomics.
  • Postdoctoral or work experience in biopharmaceutical industry and/or academia.
\nRelocation support available\n
Work Location Assignment: On Premise


Relocation assistance may be available based on business needs and/or eligibility.


Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.

Sunshine Act

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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

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