Senior BioInformatics Scientist (Preferred Oakland, CA)
Company: Fabric Genomics, Inc.
Location: Oakland
Posted on: May 13, 2022
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Job Description:
We are looking for an experienced bioinformatician to work on
analysis of clinical NGS-based tests from our laboratory customers.
This is a unique opportunity to work closely with a strong team of
geneticists, software engineers, data scientists, and other
professionals who are shaping the future of personalized medicine.
As a bioinformatician, you will actively participate in improving
algorithms for variant calling and implementing prototype codes.
You will also engage with the product development, clinical
service, and software engineering groups to create innovative
software and workflows that facilitate clinical interpretation and
classification of genetic information with our product.KEY
RESPONSIBILITIESDevelop algorithms for genotype calling from
next-gen sequencing data.Work with software engineers to develop,
validate, and maintain various components of clinical next-gen
sequencing analysis pipelines.Work with data scientists and
geneticists to facilitate the development of clinical solutions for
genomic data interpretation.Serve as domain expert and provide
insights on genomic variants to clinical interpretation, customer
support, and other teams.REQUIRED SKILLS / EXPERIENCE5+ years of
industry experience in bioinformatics/computational biology
positions with increasing responsibility.3+ years of experience
working with next-gen sequencing data analysis. -Experience
developing algorithms for variant calling including detection of
DNA copy number variation. -Excellent knowledge of genomics,
molecular biology, high-throughput sequencing applications,
clinical tools and databases, and a general business acumen in life
sciences industry and markets.Experience developing
software/pipelines in Python, SQL, Perl, C/C++ or Java.Significant
experience developing software for deployment on Linux/Unix and the
cloud services, including containers and parallelization
tools.Experience with modern build, deployment and containerization
environments.Ability of independent thinking and problem
solving.Obsesses over getting the details right but pragmatic to
ensure on-time releases.Team player with excellent communication
and evidence of leadership skills.NICE TO HAVEExperience with
containers (Docker), distributed data stores, and cluster-computing
frameworks such as Spark is highly -desirable.A -publication track
record on computational biology/bioinformatics is a
plus.EDUCATIONPhD with strong background in computational biology
or related field, or equivalent experience.Fabric Genomics is
building a team of the best and brightest to help shape the future
of personalized medicine. Our mission is to help clinicians apply
the most relevant information from genome data to improve medical
outcomes. We are on a relentless quest to diagnose patients faster
utilizing artificial intelligence, and thus help them access
personalized treatments for hereditary diseases and cancer. We are
a thriving post-Series B company, supported by world-class
investors and licensed by leading academic and clinical
laboratories around the world. We are looking for individuals who
want to join our mission to better understand genetics and save
lives.WHY YOU SHOULD APPLYMaking a Difference - We are
trailblazers, tenaciously deciphering human biology. Come join us
to change patient care and to ensure precision medicine is the
standard of care for all.Location - Centered in Oakland's City
Hall, Bart is conveniently located a few steps from our new office
headquarters. Next to great restaurants, art galleries and a
business community. Just a few blocks from Oakland's Fox Theater.
-Benefits - Regular Town Hall meetings, company outings and weekly
socials. Competitive compensation, rich health benefit packages and
premium coverage, time off and parental leave. -Fabric Genomics is
an equal opportunity employer.
Keywords: Fabric Genomics, Inc., Oakland , Senior BioInformatics Scientist (Preferred Oakland, CA), Other , Oakland, California
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