Senior Scientist (Computational) - Genetics job opportunity at WashU.

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WashU Senior Scientist (Computational) - Genetics
Experience: 2-years
Pattern: full-time
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Senior scientist

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degreePhD
loacation On Campus/Onsite locations Washington University Medical Campus, United States Of America
loacation On Campus/Onsi..........United States Of America

Job Description Primary Duties & Responsibilities: Collaborates on #designing, conducting and reporting of research projects. Leads the process of monthly cleaning of servers and network attached storage across a 25 person laboratory to facilitate major long-term cost savings for the lab. Oversees the code #development and data storage and accessibility needs of the laboratory toward discovery-based science across all genomics, imaging, and connectome data. Develops key #algorithm in collaboration with other graduate students, postdocs, and scientists in the laboratory to advance the laboratories papers and discoveries. Trains to achieve mastery and excellence in code to call compartments, TADs, subTADs, loops in Hi-C/Micro-C/snm3c data, as well as in peak calling of Chip-seq, Cut&Run and Cut&Tag data. Establishes mastery codes in analyzing DNA damage repair, genomic instability data. Oversees trainees to ensure code and parameter selection implemented at highest standards. Given concepts/ideas, and/or data from individual lab members, creates algorithms to analyze data generated by their projects to create paper figures and make discoveries. Guides lab members to write and edit methods sections and figures for research papers where the analysis is used in the manuscript. Develops new code to find patterns in single cell genomics and single cell imaging data. Oversees junior computational scientist to ensure data is organized, managed, and curated on the cluster and servers to find biological patterns in a wide range of genetic and epigenetic sequencing and imaging data to facilitate the paper figures of lab members. Oversees and writes established SOPs for data storage and movement onto GEO and NIH portals for public data accessibility. Trains new lab members on algorithms, bitbucket/github, data naming conventions, and GEO. As the position advances, begins to manage 1-4 junior analysts to ensure all sequencing and imaging data is housed, formatted, and stored on the computational cluster (and their own in-house servers) according to Cremins lab protocols. Performs other duties as assigned.

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