Company: Pfizer Inc.
Location: La Jolla
Posted on: October 13, 2019
We are looking for a talented and highly motivated Computational
Biologist/Bioinformatics Scientist to support the discovery of
novel immune oncology targets and biomarkers. The scientist will:
(1) work closely with biologists and translational oncologists to
process and analyze multiple genomics data types from pre-clinical
and clinical samples, (2) develop and implement methods for
integrating internal and public data sets from oncology and
immunology research, (3) be responsible for processing, analyzing,
and integrating data from diverse platforms: RNA-seq, WES, FACS,
single cell sequencing, T-cell receptor repertoire (TCR) profiling,
CYTOF, and/or other high throughput technologies. The computational
scientist will work closely with biologists to analyze and
interpret genomics and high-throughput data experiments supporting
the development of IO therapies. The scientist will also be
responsible for identifying IO biomarkers from pre-clinical and
clinical data to understand biological responses and to translate
these biomarkers to clinical application.
- Work within an interdisciplinary team of molecular and
computational biologists to integrate, interpret, and mine
high-throughput immune phenotyping, genomics, and therapeutic
response data from pre-clinical experiments and clinical samples
for novel IO targets, combination opportunities, and biomarkers of
- Implement and/or develop methods and algorithms to analyze data
from different platforms like RNAseq, FACS, Nanostring, TCR
sequencing, CYTOF, and others.
- Monitor and evaluate analytical aspects of new and emerging
computational immune oncology techniques.
- Develop tools for data sharing and visualization.
- Provide timely analysis and interpretation of experiments.
- Process, analyze, and interpret high dimensional data from
immune profiling, microbiome, or other experiments.
- Use and develop automated methods and software to support
large-scale bioinformatics analysis.
- Process NGS alignment, transcript quantitation, variant
calling, other data types as required.
- Support pre-clinical and clinical bioinformatics needs.
- Characterization of pre-clinical mouse models treated with
- Download and analyze public datasets from data repositories or
- Indications analysis of tumor types for alterations of
- Aggregation, integration, and analysis of clinical response /
meta data with genomics data.
- 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
- Enable adoption of new methods and tools.
- Contribute towards publication of scientific methods and
- Ph.D. in Bioinformatics, Computational Biology, Computer
Science, or related fields with 2+ years of post-degree experience
or equivalent or MS with 7+ years' experience.
- Fluency in programming and scripting languages such as (R,
Perl, Python, or Java)
- Experience processing and interpreting high-volume genomics
- Experience in immune oncology or immunology research.
- Experience in computational methods for analysis of
computational immune oncology data such as RNA-seq, deconvolution,
TCR repertoire sequencing, neoantigen prediction, or FACS
- Experience in integrative omics analysis, next generation
sequencing, data mining, pathway analysis, statistics is
- Experience in analyzing and interpreting single cell sequencing
data is desirable.
- 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 teamwork, time management, and organizational
Other Job Details
- Eligible for Relocation Package
- Eligible for Employee Referral Bonus
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.
N (Other) (United States of America)
Pfizer is an equal opportunity employer and complies with all
applicable equal employment opportunity legislation in each
jurisdiction in which it operates.
Keywords: Pfizer Inc., San Diego , Bioinformatics Scientist, Other , La Jolla, California
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