Summary

We are hiring a research assistant 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 motivated candidate to work in the capacity of research assistant. This position is best suited for recent graduates of Bachelor's degree who wish to gain more research experience and/or hands-on bioinformatics skills.

The prospective will be working in a new laboratory headed by a computational biology principal investigator recently funded by CPRIT. The laboratory is interested in integrating various modalities of single-cell sequencing data and spatial genomics data to better understand the contribution of spatial multi-cellular environments to cancer formation, progression.

Job Duties

• Participate in the writing of research papers and grants.
• Keep abreast of latest research findings in journals and conferences. 
• Summarize research findings using sound statistics and informative plots/figures.
• Help postdoctoral fellows and bioinformatics programmers in the laboratory in running analysis pipelines, summarizing paper findings, modifying and running command-line Linux Shell scripts, and generating attractive figures for publication purposes.
• Curate datasets obtained from the public repository such as GEO and ArrayExpress. Manage these data in local computers. 
• 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 a Basic Science or a related field.
• Two years of relevant experience.

Preferred Qualifications

• Bachelor's degree in Computer Science, Management Information Systems, Information Technology, or engineering related field.
• Candidate should have good communication and written skills, good interpersonal skill, and critical thinking skill. In addition, the candidate should be comfortable working with large-scale datasets (single cell and imaging data), and working in the high-performance computing (HPC) environment.