Research Scientist – Li Lab

Job ID: 6677
Job date: 2017-07-21
End Date:

Company : The Jackson Laboratory 

Country :

Role : Research Scientist 


[Click Here to Access the Original Job Post]

Job Description:
Dr. Sheng Li’s lab at JAX-GM is seeking exceptional scientists who are interested in studying cancer epigenomics using large-scale genomics datasets. The Li Lab focuses on combining computational approaches and high throughput datasets to uncover novel mechanisms that contribute to drug resistance and cancer evolution. For additional information, visit the Li Lab online.

This is a senior position within the Li Lab, and candidates with substantial prior experience are encouraged to apply. JAX-GM offers a collegial, collaborative, interdisciplinary, and diverse research environment. We will provide a competitive salary commensurate with qualifications.

KEY RESPONSIBILITIES

  • Develop computational, bioinformatics, and statistical approaches to address the challenges in cancer genome, epigenome, chromatin, and transcriptome data integration
  • Analyze bulk and single-cell sequencing data sets from clinical studies to deconvolution cell populations and associated cellular phenotypes
  • Work to identify molecular patterns and predictive markers for diagnosis and treatment
MINIMUM QUALIFICATIONS
  • PhD in Computational Biology, Biostatistics, Bioinformatics, or a related field with knowledge of statistics and a passion to work in an interdisciplinary field of computational biology and cancer research.
  • Strong computational background, including proficiency in at least one programming language (Perl, Python, C++, etc.) and one data analysis software program (R, MATLAB, etc.). Linux experience is required.
  • Minimum two years’ professional research experience and/or outstanding publication achievements.
  • Research experience in next generation sequencing data analysis and utilization of publicly available bioinformatics resources.
  • Excellent communication skills and fully fluent in both spoken and written English.
  • A passion for solving cutting edge research problems of computational biology.
The following optional qualifications are considered advantageous:
  • Knowledge of (and/or work experience with) machine learning/deep learning methods.
  • Experience with large-scale data analysis using software pipelines in a HPC environment.
  • Experience in software development.


Requeriments :

Skills :

Areas :


Additional Info:
About The Jackson Laboratory for Genomic Medicine: Comprising 183,000 square feet of highly advanced, state-of-the-art laboratories and supporting facilities, JAX-GM is conveniently located midway between NYC and Boston in the heart of Connecticut's growing bioscience industry. Our mission at JAX-GM is to discover the complex causes of disease, develop diagnostics and therapeutics, and ultimately empower the global medical community.

JAX-GM is part of an exciting, internationally-recognized research and educational institution with unparalleled genomic resources and research support services. Seeking to advance personalized medicine, we draw on the institution's distinguished history and on the innovative expertise of our growing faculty, who are recruited from among the world’s top scientific labs and institutions.

APPLICATION INSTRUCTIONS: Please include a cover letter along with your resume/CV. Applications without cover letters will not be considered.

MORE ABOUT JAX

JAX began in 1929 with a small group of scientists dedicated to the emerging field of genetics. We now have over 1,700 scientists, technicians, and support staff, including over 50 Principle Investigators in five primary disease areas: cancer, reproductive biology, immunology, metabolic processes and neuroscience. Our fundamental contributions to biomedical research include cancer genetics and establishing the mouse as the premier research animal model.

-Uncover more of our historic milestones, including the 26 Nobel prizes associated with our research, resources, and education

-Read our latest news & insights for a glimpse at how we’re impacting the future of biomedicine

-Follow the progress we’re making on our quest to improve human health via our recent research highlights

EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.

Job Location: Farmington, Connecticut, United States

Position Type: Full-Time/Regular

[Click Here to Access the Original Job Post]