Bioinformatician
Company: The Translational Genomics Research Institute
Location: Phoenix
Posted on: August 7, 2022
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Job Description:
Description:
Dr. Nicholas Schork, Director of Quantitative Medicine at TGen,
seeks a creative, independent, and highly motivated researcher
interested in developing and applying novel and comprehensive
quantitative methods for understanding and characterizing the
genetic and molecular determinants of human longevity and longevity
enhancement, through cross-species comparative genomes. Dr. Schork
is one of the two principal investigators (PIs) for the NIA-funded
longevity consortium, whose goal is to characterize the genetic
basis of human longevity, and a co-PI on another NIA-funded
consortium grant to identify genetic targets for
longevity-enhancing interventions. Dr. Schork is also a PI for the
Animal Cancer Foundation-funded canine cancer genomics consortium,
with a goal to characterize the parallels of cancer mutations in
canine and humans, and to improve therapeutic options for human and
pet patients. The methods, analyses, and tools to be developed will
leverage these connections, but go beyond them, in developing
bioinformatic and biostatical analysis methods to identify genetic
longevity-enhancing intervention and cancer-associated targets, and
designing studies to test their effects.
Brief Professional Activities Description
The Bioinformatic Engineer will have the opportunity to perform
cross-species comparative analysis of longevity-associated
vertebrate genomes, identify evolutionarily conserved sequence
features, and investigate germline/somatic mutation drivers for
canine-human comparative oncology analysis. TGen provides a very
collaborative environment that includes basic scientists,
computational and quantitative scientists, biomedical technology
developers and clinicians, including those at TGen's affiliated
institution, the City of Hope National Medical Center in East Los
Angeles, as well as its many other partner institutions.
There is tremendous interest in the identification of factors that
affect human longevity and potential interventions that enhance
human
longevity. Unfortunately, human longevity is a complex,
multifactorial phenotype with a number of interacting genetic and
non-genetic determinants. Characterizing the factors influencing
longevity will be difficult since the effect of any one factor can
be obscured by the effects of others. As a result, more
sophisticated and integrated approaches are needed. This is true
for both the identification and characterization of
longevity-enhancing factors and testing longevity-enhancing
interventions that target these factors. A research challenge will
be to develop reliable techniques for mining data relevant to
genetically-mediated factors (for example, from genome-wide
association studies focusing on longevity) and cross-species
studies to identify better longevity-enhancing intervention
targets, as well as methods to test interventions that exploit
those targets. In this context, the proposed activity and research
will involve:
Performing cross-species comparative analysis of vertebrate genomes
including human, canine, and other species
Identifying evolutionarily conserved genes/proteins, functional
elements, non-coding sequences, through orthology, synteny, and
pangenome approaches
Identifying germline and somatic mutation drivers, coding and
non-coding, and mutation signatures in canine cancers
Performing canine-human comparative oncology analysis and
identifying therapeutic targets
Presenting findings on cross-species comparative genomics and
canine cancer at major conferences and in peer-reviewed
publications
TGen has access to resources (such as one of the largest and
fastest computing systems in the world, a large phase I clinical
trial center, genomic and other omic assay-oriented labs) that can
be leveraged in the proposed research. In addition, the development
of the proposed strategies and methods will likely have a broad,
international impact, given the amount of attention human longevity
research is receiving, so the research to be pursued will be highly
visible and competitive, and as a result could propel the career of
an independently-minded researcher looking to make an indelible
impact on a biomedical science and humanity in general.
PM21
Requirements:
Job Requirements
M.Sc. in Bioinformatics, Computer Science, Systems Biology,
Computational or Quantitative Biology, Biostatistics, Statistics,
Applied Mathematics, or a related field.
Computer programming, R and other statistical analysis packages,
and scripting languages skills
Demonstrated 5+ years of experience in genomics and NGS long/short
read sequencing technologies
Experience with large biological data sets
Excellent written and verbal communication skills, willingness to
work in collaborative settings
How to Apply
If you are interested in seeing the most up to date job listings or
to apply for this position, please go to
https://www.tgen.org/careers-tgen/and
submit your resume. Please take a moment to read about our employee
benefits and learn more about TGen. If you have any questions
about
the company or how to apply for a position, please contact
hr@tgen.org.
Only resumes submitted through the TGen career website will be
considered.
We value and support diversity in our workforce.
EEO/AA
About Our Organization
Translational Genomics Research Institute (TGen) is a Phoenix,
Arizona-based non-profit organization dedicated to conducting
groundbreaking research with life changing results. TGen is focused
on helping patients with neurological disorders, cancer, and
diabetes, through cutting edge translational research (the process
of rapidly moving research towards patient benefit). TGen
physicians and scientists work to unravel the genetic components of
both common and rare complex diseases in adults and children.
Working with collaborators in the scientific and medical
communities literally worldwide, TGen makes a substantial
contribution to help our patients through efficiency and
effectiveness of the translational process. TGen is allied with
City of Hope, a world-renowned independent research and cancer and
diabetes treatment center. This precision medicine alliance enables
both institutes to complement each other in research and patient
care, with City of Hope providing a significant clinical setting to
advance scientific discoveries made by TGen.
PI186199606
Keywords: The Translational Genomics Research Institute, Phoenix , Bioinformatician, Other , Phoenix, Arizona
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