Pfizer

Sr. Computational Biologist, Immuno-Oncology

Employer
Pfizer
Location
La Jolla, California
Salary
Competitive
Posted
February 19 2021
Ref
4805828
Position Type
Full Time
Organization Type
Pharma
ROLE SUMMARY

We are looking for a talented and highly motivated Computational Biologist/Bioinformatics Scientist to join an immunotherapy bioinformatics support group.This is an exciting opportunity to work closely with biologists and oncologists to advance the development of new IO therapies by analyzing and interpreting multi-omics high-throughput data. The group is involved in supporting the progression of pre-clinical projects to the translational stage, patient selection and biomarker analysis for translational projects, analysis of Phase I/II/III molecular profiling data, and subsequent target discovery and prioritization for new pre-clinical projects. The scientist will be responsible for analyzing biomarkers and mechanisms of action for IO therapies from pre-clinical and clinical data as well as applying innovative ways of translating these findings to impact patient selection, overcoming IO resistance and discovering potential new targets.

ROLE RESPONSIBILITIES
  • Work within an interdisciplinary team of molecular and computational biologists to integrate, interpret, and mine high-throughput immune phenotyping, genomics, and in vivo response data from clinical and pre-clinical datasets.
  • Implement and/or develop methods and algorithms to integrate and analyze data from various platforms.
  • Analyze and interpret high-throughput data from studies supporting development of novel IO therapies.
  • Analyze and mine public and internal multi-dimensional patient data for indications selection for new IO therapies.
  • Provide timely analysis and interpretation of experiments from preclinical models.
  • Support pre-clinical project progression to clinical trials.
  • Use and develop automated methods to support large-scale bioinformatics analysis.
  • Familiarity with NGS alignment, transcript quantitation, variant calling, other data types as required.
  • Internalize and analyze public datasets from data repositories or publications to inform new IO therapies development.
  • Monitor and evaluate analytical aspects of new and emerging computational immune oncology techniques.
  • Develop tools for data sharing and visualization.
  • Present scientific and technical data to both internal and external colleagues in a clear and cohesive manner.
  • Share and communicate all aspects of data analysis, tools, and methods developed.
  • Enable adoption of new methods and tools.
  • Work with teams towards publication of scientific methods and findings by providing documentation of analysis, reproducibility of code, and quality control.
  • Use, develop, and advocate technology platforms for sharing internal data company-wide and enabling user access.
  • The scientist will be responsible for processing, analyzing, and integrating data from diverse sources such as RNA-seq, WES, IHC, single cell sequencing, imaging, and clinical meta data.


BASIC QUALIFICATIONS
  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related fields with 2+ years of post-degree experience or equivalent.
  • Fluency in programming in R, and Perl or Python in UNIX/LUNIX environment.
  • Experience processing and interpreting high-volume genomics data.
  • Experience in immune oncology or immunology research.


PREFERRED QUALIFICATIONS
  • Experience in computational methods for analysis of genomics data such as RNA-seq, scRNA-Seq, and WES.
  • Experience in integrative omics analysis, next generation sequencing, data mining, pathway analysis, and statistics is desirable.
  • Experience in analyzing and interpreting single cell sequencing data is desirable.
  • Experience with application of machine learning techniques to genomics analysis.
  • Strong scientific understanding of molecular biology, immunology, and genomics.
  • Ability to work independently in a multidisciplinary, fast-paced, dynamic, and results-oriented environment.
  • Ability to present data to a multidisciplinary audience in a clear and cohesive manner.
  • Excellent communication, teamwork, time management, and organizational skills.


Other Job Details
  • Last Date to Apply for Job: March 22, 2021
  • Eligible for Relocation Package
  • Eligible for Employee Referral Bonus


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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.

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