Senior Computational Biologist, TB

La Jolla, California
April 05 2021
Position Type
Full Time
Organization Type
Job Description

We are looking for a talented and highly motivated computational biologist to join a team supporting discovery and development of new therapies targeting tumor cell vulnerabilities with a focus on Cell Cycle and Epigenetics. The scientists will work in an inter-disciplinary environment and have the opportunity to advance discovery and development of cutting-edge cancer therapeutics. The scientist will closely collaborate with bench biologists to elucidate molecular mechanisms of novel cancer therapies and identify patients most likely to benefit from new and existing therapies. In collaboration with translational oncology leads the scientist will analyze and interpret data from early clinical development of cancer drugs. This role also provides an exciting opportunity to work with late stage clinical data to discover new hypothesis for mechanisms of resistance and work with experimentalists to test these hypotheses in preclinical models. The scientist is expected to contribute to development of novel methods for integrative analysis and biological interpretation of high-dimensional molecular data. The successful candidate should have strong biological and computational background, with proven capability of solving complex problems by creating innovative analytical solutions.

  • Collaborate with bench scientist to design and execute computational analysis of large-scale molecular data from preclinical research.
  • Collaborate with translational oncologists on analysis of early stage clinical trials molecular biomarker data.
  • Conduct in silico analysis to help address questions such as identifying predictive biomarkers, prioritizing tumor indication and drug combination, and elucidating resistance mechanisms.
  • Process, analyze and interpret high dimensional data from diverse OMICS platforms.
  • Contribute to the development of data packages supporting decision making.
  • Actively participate in project teams with multidisciplinary backgrounds to formulate data-driven, actionable hypotheses.
  • Devise and leverage state-of-the-art computational approaches for oncology target identification and precision medicine.
  • Contribute effectively to a shared codebase that can be leveraged broadly for multiple applications.

  • Ph.D. or equivalent in computational biology, genetics/genomics, biostatistics or a related field.
  • Proficiency in statistical analysis using R, a scripting language (Perl or Python) and working with the UNIX/LINUX environment.
  • Deep knowledge of high throughput molecular profiling and experience in mining "big OMICS data", e.g. RNA-Seq, WES, ChIP-seq etc.
  • Experience working with scRNA-Seq, ATAC-Seq, and CRISPR data is a plus.
  • Strong background in integrative cancer biology analysis and biostatistics/machine learning methods is highly desirable.
  • Track record of innovative and proactive problem solving, preferably in cancer biology and medicine.
  • Experience in productive collaboration with bench and/or translational scientists is highly desirable.
  • Ability to multi-task, effectively communicate (oral and written) and work with diverse expertise teams.

Other Job Details:
  • Last Date to Apply for Job: April 26, 2021
  • Eligible for Employee Referral Bonus: YES
  • Eligible for Relocation: YES

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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