BIOINFORMATICIAN III – Mount Sinai Health System – New York, NY

Job ID: 5851
Job date: 2016-08-15
End Date:

Company : Mount Sinai Health System 

Country :

Role : Research Scientist  | Student 


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Job Description:
Mount
Sinai Health System Careers

Do
you have what it takes to wear the badge?
The Bioinformatician III manages and organizes large datasets, and conducts statistical and genomic analysis. Uses software to gather, store, manipulate and analyzes research data.
The Bioinformatician III will work with a group of researchers/biologists on innovative genomic analyses of structural variation, epigenetics, and gene expression in an integrated environment combining experimental and bioinformatic approaches to human disease. The individual will support research projects by delivering bioinformatics services for bio-medical data from cutting-edge genomic technologies

What You'll Do: The ideal candidate will have strong statistical and programming proficiencies with proven expertise in genomic analysis.

1. Applies computational techniques to design and implement analysis tools to solve computational and mathematical problems in gene-expression analyses.
2. Designs new algorithms focusing on solving problems in genomics.
3. May guide and/or train post-doctoral fellows, researchers, research residents, grad students and new staff in bioinformatic analysis.
4. Writes custom scripts for analysis of genomic data derived from high-throughput techniques.
5. Designs and implements bioinformatics tools and processes in order to analyze large scale datasets.
6. Identifies and resolves technical issues and proposes upgrades to current software.
7. Develop projects and work independently on a variety of bioinformatics analysis projects.
8. Manages databases, conducts statistical and genomic analysis, and participates in the preparation of manuscripts and presentations.
9. May be involved in sequence and structural analysis, data mining, or statistical modeling.
10. Collaborates with wet-bench biologists and work independently to analyze data derived from several types of projects using microarrays and high-throughput sequencing.
11. Conducts analysis of microarray and high-throughput sequencing data, genome sequence analysis, experimental design and statistical analysis.
12. May be involved in writing research papers and grant applications
13. May give presentations both inside and outside of the institution.
14. Other related duties as assigned.

What

You'll Bring:
Education: M.S. in Biological Sciences, Bioinformatics, Computer Sciences, Statistics or related discipline, PhD preferred

Experience:
6 years minimum experience required
Working experience with genetics or statistics analysis software and online resources. Experience in programming environments such as Matlab, R statistical package, BioConductor, Perl or C++.

Do
you share our dedication to extraordinary service and have what it takes to
wear the badge? Apply
now!

Who

We Are:
Over
35,000 employees strong, the mission of the Mount Sinai Health System is to
provide compassionate patient care with seamless coordination and to advance
medicine through unrivaled education, research, and outreach in the many
diverse communities we serve.

Formed
in September 2013, The Mount Sinai Health System combines the excellence of the
Icahn School of Medicine at Mount Sinai with seven premier hospital campuses,
including Mount Sinai Beth Israel, Mount Sinai Beth Israel Brooklyn, The Mount
Sinai Hospital, Mount Sinai Queens, Mount Sinai West (formerly Mount Sinai
Roosevelt), Mount Sinai St. Luke's, and New York Eye and Ear Infirmary of Mount
Sinai.

The
Mount Sinai Health System is committed to the tenets of diversity and workforce
that are strengthened by the inclusion of and respect for our differences. We
offer our employees a highly competitive compensation and benefits package, a
403(b) retirement plan, and much more.

The
Mount Sinai Health System is an equal opportunity employer. We promote recognition
and respect for individual and cultural differences, and we work to make our
employees feel valued and appreciated, whatever their race, gender, background,
or sexual orientation.

EOE Minorities/Women/Disabled/Veterans


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