Senior Computational Biologist
Company: Pfizer
Location: Cambridge
Posted on: April 6, 2021
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Job Description:
**ROLE SUMMARY** Standard biological experiments now easily
generate enormous volumes of data. Understanding the biological
message underlying this data requires a computationally-savvy
biologist applying specialized and sophisticated approaches to
extract meaningful biological insights. The Senior Scientist will
be accountable to and will work closely with lab-based biologists,
computational biologists, and human geneticists within the Internal
Medicine Research Unit to address key drug discovery questions on
biological and disease mechanisms, biological rationale, target
safety and patient stratification through the use and development
of computational tools and methods to store, process, analyze,
visualize and integrate in-house and public genetics, epigenetics,
RNAseq, NGS, metabolomics, proteomics and other 'omics data types.
The Senior Scientist will also work with other computational and
statistics colleagues across the Integrative Biology groups within
the Worldwide Research, Development, and Medical organization and
colleagues in Research Business Technologies to leverage a broader
suite of computational capabilities and analytical tools, and lead
the evaluation of cutting-edge tools, to elucidate target and
disease mechanisms, develop and test therapeutic hypotheses,
identify disease biomarkers and understand patient stratification.
The Senior Scientist position offers an opportunity to execute
science-based drug discovery within one of the world's leading
developers of human therapeutics, at the Pfizer's Kendall Square
research facility in Cambridge Massachusetts. **ROLE
RESPONSIBILITIES** + Lead internal and external efforts to provide
actionable biological insights and build scientific understanding
of specific drug targets and biological pathways within the context
of cardiovascular and metabolic diseases, primarily in Cachexia but
also in Type 2 Diabetes, Obesity, Non-alcoholic Fatty Liver
Disease, and Heart Failure through the development, implementation
and application of tools and methods to analyze genetic, NGS
(including but not limited to RNAseq, scRNAseq, etc), and other
'Omics data types. + Lead internal and external collaborations that
secure access to novel or proprietary data types and innovative
computational methodologies to advance our ability to process and
analyze novel biological data types and understand disease
pathophysiology from large-scale molecular and phenotypic data.
**BASIC QUALIFICATIONS** + Ph.D. in Biological Sciences,
Bioinformatics, Molecular Biology, Biochemistry, Computer Science,
Applied Mathematics, or related field required; 5+ years relevant
experience applying quantitative approaches to addressing
biological questions, preferably in a pharmaceutical, biotech or
comparable context; + 3+ years experience in analyzing data
relevant to cardiovascular and metabolic diseases preferred,
including but not limited to, Cachexia, Obesity, Adiposity, Type 2
Diabetes, Non-alcoholic Fatty Liver Disease / Non-alcoholic
Steatohepatitis, and Heart Failure. + Strong curiosity about human
biology and disease pathology. **PREFERRED QUALIFICATIONS** +
Demonstrated ability for sound experimental design for in-silico
experimentation/workflows required, in addition to ability to
effectively interface with biologists to
communicate/discuss?results, hypotheses, and follow-up experiments.
+ Demonstrated experience in design, execution and interpretation
of in vivo and/or in vitro biological experiments generating large
scale molecular datasets, especially RNAseq , and other NGS
data-types . + In depth knowledge of relevant public and
proprietary databases, methods and tools. Good understanding of the
statistical methods used in omics analyses. + Extensive experience
in bio-computational statistical programming languages (R) and
working knowledge of scripting languages (Python preferred) is
essential. + Familiarity with database management (SQL) a plus. +
Familiarity with high performance computing is essential and cloud
computing preferred. + Experience with relevant packages from
Bioconductor (preferred) or SciPy is essential. + Experience with
creating data visualization tools such as Shiny apps is a plus.
Experience using application programming interfaces (APIs) also a
plus. + Experience applying computational approaches to
multi-dimensional datasets to deliver insights and hypotheses,
e.g., multivariate, Bayesian and machine learning approaches a
plus. **PHYSICAL/MENTAL REQUIREMENTS** + Primarily sitting at a
desk and moving through offices . Light travel load. No
extra-ordinary requirements. **Other Job Details:** + **Last Date
to Apply for Job: April 26, 2021** + Eligible for Relocation
Package: YES + Eligible for Employee Referral Bonus: YES
**\#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
Keywords: Pfizer, Cambridge , Senior Computational Biologist, Other , Cambridge, Massachusetts
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