Job:Bioinformatics Research Scientist- Epigenetics Group
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xubeisi • 0
@xubeisi-11767
Last seen 11 days ago
United States

Click to Apply at St Jude Website: and better send CV to beisi.xu[at]stjude.org

Overview

The Epigenetics Group from the Center for Applied Bioinformatics at St. Jude Children's Research Hospital is looking for a highly motivated and creative Bioinformatics Research Scientist or Lead Bioinformatics Analyst to develop and apply innovative analytical approaches to understand the underlying mechanisms that drive pediatric cancers and other human diseases. Working for all different projects together with different PIs, employee could make a valuable difference not only to science but also to pediatric cancer patient curation and survival. Besides the various analysis tasks, we also encourage exploring newly available methods, pipeline development could result in first author, high profile publications, as long as it aligns with our ultimate goal: “Finding cures. Saving children”.

The Center provides a highly interactive environment with collaborative opportunities within the centers including transcriptomics group, genomics group and genetics group and across basic and clinical departments, access to high performance computing clusters, cloud computing environment, novel sequencing platforms such as long reads sequencing technologies, single cell sequencing at both DNA and RNA level and spatial transcriptomics, innovative visualization tools, highly automated analytical pipelines powered by GPU technology and mentorship from scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. The members of this Center could work on broad areas of bioinformatics and gain valuable experiences. The members of this Center also have the opportunities to publish high profile papers with prominent authorship and file patents for novel biomarker discoveries or novel methods for clinical diagnosis or disease treatment.

Good candidates will have experience building, optimizing analysis pipelines using available software or installing pipelines for high-throughput next generation sequence data analysis (such as ChIP-Seq, ATAC-Seq, RNA-Seq, Hi-C/HI-CHIP/CaptureC) under Linux/Unix environment. The successful candidate is expected to have good programming skills in Bash, Python and R. Also understanding basic Epigenetics gene regulation mechanisms (e.g. Histone Modification, Chromatin Accessibility, DNA Methylation, 3D Genome). Experience with deep learning or nextflow is a plus.

Minimum Education

Bachelor's Degree is required

Minimum Experience

Bioinformatics Research Scientist

Seven (7) years of relevant post-degree work experience is required. Five (5) years of relevant post-degree work experience is required with a Master's degree. Two (2) years of relevant post-degree work experience is required with a PhD

Lead Bioinformatics Analyst

Six (6) years of relevant experience is required. Four (4) years of relevant experience may be acceptable with a Master's degree. No experience may be acceptable with a PHD in Computer Science or Bioinformatics, with a background in the biological sciences.
Experience in programming (Python, R, C/C++, perl or other programming/scripting languages) under linux/unix environment is required. Experience with and the ability to deal with a wide range of users is preferred Experience of independent data analyses and project management is preferred End user support and training experience is preferred

Benefits

St. Jude has been consistently ranked in Fortune magazine’s “100 Best Places to Work” list and is exceptionally positively reviewed on GlassDoor. Salary is highly competitive (comparable to industry) and employee benefits are outstanding. This position is located at Memphis, TN, and relocation assistance is available.

PS

The Salary usually adjusted for experience in the field by our HR, my estimation is > 100k that were competitive considering the low living cost at Memphis. Suppost J1/H1B(no need lottery)

HiC Epigenetics HiCHIP ChIPSeq • 44 views
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