Summary

A postdoctoral position is available in Dr. Graham Erwin's laboratory in the Department of Molecular and Human Genetics at Baylor College of Medicine. Our lab investigates the functional role of repetitive DNA sequences in human health and disease, with a focus on somatic variation between human tissues. We are seeking a talented and motivated postdoctoral fellow to lead bioinformatics projects analyzing genomic variation across different human tissues, including comparisons between blood and motile sperm, as well as potential applications in cancer genomics. The successful candidate will develop and apply cutting-edge computational methods to analyze large-scale genomic datasets, with a particular emphasis on identifying and characterizing tandem repeat (TR) variations. This position offers an exciting opportunity to contribute to our understanding of tissue-specific genetic variation and its implications for human biology and disease.

The successful candidate will develop and apply cutting-edge computational methods to analyze large-scale genomic datasets, with a particular emphasis on identifying and characterizing tandem repeat (TR) variations. This position offers an exciting opportunity to contribute to our understanding of tissue-specific genetic variation and its implications for human biology and disease.

Job Duties

• Develops and implements bioinformatic pipelines for the analysis of long-read whole-genome sequencing data from various human tissues.
• Applies and optimizes existing tools for the identification and characterization of small variants (single nucleotide variants and INDELs) as well as tandem repeat variations and other structural variants.
• Performs comparative analyses of genetic variation between different human tissue types.
• Collaborates with wet-lab researchers to integrate computational findings with experimental data.
• Contributes to the design and analysis of genomic studies in cancer and other complex diseases.
• Presents research findings at lab meetings, conferences, and in peer-reviewed publications.
• Assists in the preparation of grant proposals and scientific manuscripts.

Minimum Qualifications

• MD or Ph.D. in Basic Science, Health Science, or a related field.
• No experience required.

Preferred Qualifications

• Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field.
• Strong programming skills in languages such as Python or R.
• Proficiency in unix/linux environments and high-performance computing clusters.
• Track record of peer-reviewed publications in the field of genomics or bioinformatics.
• Experience with next-generation sequencing data analysis and large-scale genomic datasets.
• Experience with structural variant detection and analysis, particularly for tandem repeats.