Summary

We are hiring a bioinformatics programmer in the Lester and Sue Smith Breast Center at Baylor College of Medicine. The Breast Center is a collaborative environment dedicated to breast health and disease research, as well as prevention, diagnosis, and treatment of different forms of breast cancer. We are looking for a candidate with a background in computational biology/bioinformatics who thrives in collaborative research. 

For more information, please visit the following link: https://www.bcm.edu/people-search/qian-zhu-119781

Job Duties

• Basic sequencing-based analysis tools for processing of FASTQ files, including QC step, alignment, trimming, and duplicate detection, and alignment filtering.
  • Examples of such tools are Bowtie, Trimmomatic, CutAdapt, HISAT, etc.
• Single-cell RNA-sequencing, chromatin accessibility, and CUT&RUN/CUT&Tag analysis tools.
  • Examples include Seurat, MACS2, Monocle, SnapATAC. 
• Spatial transcriptomics and/or proteomic analysis tools, including Giotto, SquidPy, HistoCAT.
• Experiences working with 10X Visium and spatial imaging mass cytometry (IMC) data are particularly desirable. 
• Summarize research findings using sound statistics and informative plots/figures
• Present results in lab meetings and to collaborators. 
• Collaborate with investigators in the breast center.
• Work together with other bioinformatic tools developers in the laboratory in implementing algorithms and software packages.
• Download data from repositories (GEO) for public data integration, interrogation, and hypothesis generation.

Minimum Qualifications

• Bachelor's degree in Computer Science, Biological Science, or a related field.
• No experience required

Preferred Qualifications

• Master’s degree in a related field.
• Website building.
• Web programming using JavaScript, HTML, CSS. 
• Front-end programming using responsive frameworks such as Bootstrap, JQuery.
• C++/C programming.
• Knows how to use Google, StackOverFlow, ChatGPT for troubleshooting bugs/increasing coding efficiency. 
• Knowledge of molecular biology and cancer biology.
• Python and R programming.