Job:Bioinformatics Position at UPenn
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22 months ago
LabCoatNomad ▴ 10

https://wd1.myworkdaysite.com/en-US/recruiting/upenn/careers-at-penn/job/Medical-School-John-Morgan-Bldg/Bioinformatics-Specialist--Pathology-and-Laboratory-Medicine-_JR00051464-2

Basically its one job but they didnt want to limit people to having a masters degree or not, but UPenn has separate levels based on that (very old school) so they made the position open to both A/B (BSc vs MSc essentially). Feel free to post questions you might have and happy to answer. You would be working with me on a variety of single cell cancer projects. I gave HR a job description and they kinda filled it out below... clearly they have added some buzz words for x reasons but you get the jist. Position linked above and posted below:

Posted Job Title Bioinformatics Specialist (Pathology and Laboratory Medicine)

Job Profile Title Bioinformatician A

Job Description Summary The individual filling this position will be involved with data analysis focused in -omics cellular immunotherapy-based clinical trials. He/She will have prior experience with bioinformatics and familiarity with high-performance computing environments. He/She will have prior experience with sequencing data analysis and wet lab work (e.g. RNA-seq, CHIP-Seq, ATAC-seq, CITE-seq, single cell, basic tissue culture techniques and basic molecular biology). He/She must have demonstrated proficiency with the R data analysis ecosystem, and have experience with git, Bash, data visualization, markdown, and large data wrangling. Have a basic understanding of how single cell technology and sequencing works. In addition, previous experience with Python, Rust, and/or machine learning would be an asset but not required.

Bioinformatician B - He/She will have the duties outlined above, with the additional expectation that He/She will show a higher degree of independence and previous experience with Python, Rust, and/or machine learning. He/She will also assist in the generation of data visualizations to report results in collaboration with clinical and basic scientists.

Job Description

The individual filling this position will be involved with data analysis focused in -omics cellular immunotherapy-based clinical trials. He/She will have prior experience with bioinformatics and familiarity with high-performance computing environments. He/She will have prior experience with sequencing data analysis and wet lab work (e.g. RNA-seq, CHIP-Seq, ATAC-seq, CITE-seq, single-cell, basic tissue culture techniques and basic molecular biology). He/She must have demonstrated proficiency with the R data analysis ecosystem, and have experience with git, Bash, data visualization, markdown, and large data wrangling. Have a basic understanding of how single-cell technology and sequencing works. In addition, previous experience with Python, Rust, and/or machine learning would be an asset but not required.

Bioinformatician B - He/She will have the duties outlined above, with the additional expectation that He/She will show a higher degree of independence and previous experience with Python, Rust, and/or machine learning. He/She will also assist in the generation of data visualizations to report results in collaboration with clinical and basic scientists.

Qualifications

Bioinformatician A: Bachelor's degree with 2-4 years of experience or an equivalent combination of education and experience required. The applicant should have a degree in bioinformatics, computational biology, human genetics, or a related field, and a sound understanding of both biology and statistics. They must have demonstrated proficiency with the R data analysis ecosystem, and have experience with git, Bash, data visualization, markdown, and large data wrangling. They should also have a basic understanding of how single-cell technology and sequencing work.

Bioinformatician B: Masters Degree with 3 years of related experience in bioinformatics, computational biology, human genetics, or a related field or an equivalent combination of education and experience required. Additional expectation that He/She will show a higher degree of independence and previous experience with Python, Rust, and/or machine learning.

The candidate must have the ability to meet aggressive goals and high-quality standards with support from senior bioinformaticians, analysts, and molecular biologists. Must be self-driven, results-oriented, and a quick learner. Must possess attention to detail, learning agility, and an enthusiastic, collaborative, professional work ethic.

single transcriptome R cell multiomics • 730 views
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