Research Assistant Professor-Genomic Sequencing Data Analysis

Responsibilities

• Perform high-quality computational analysis of next-generation sequencing (NGS) data, including short and long-read whole-genome, whole-exome, RNA-seq, and spatial transcriptomics datasets.
• Develop and implement bioinformatics pipelines for variant calling, structural variant detection, transcriptome profiling, and integrative multi-omics analyses.
• Apply statistical and machine learning approaches to identify genomic alterations, biomarkers, and functional networks.
• Collaborate with wet-lab scientists to integrate genomic data with experimental results.
• Contribute to manuscript preparation, figure generation, and presentation of findings at scientific conferences.
• Write and contribute to competitive grant applications, providing preliminary data and computational expertise.
• Mentor graduate students, postdoctoral fellows, and research staff in computational genomics.
• Maintain data management, quality control, and reproducibility standards.

Requirements

• Ph.D. in bioinformatics, computational biology, genomics, computer science, statistics, or a related field.
• Postdoctoral training in a relevant computational or biological field.
• Demonstrated expertise in NGS data analysis, including quality control, alignment, and variant calling.
• Proficiency in programming languages including Python, R, and Bash.
• Experience with bioinformatics tools such as GATK, samtools, bcftools, STAR, HISAT2, Cell Ranger, or Seurat.
• Experience working with high-performance computing (HPC) and cloud-based analysis platforms.

Preferred Qualifications

• Experience with cancer genomics, single-cell and spatial transcriptomics, or epigenomic data analysis.
• Familiarity with workflow management systems such as Nextflow or Snakemake.
• Experience with reproducible research practices using Docker or Git.
• A strong track record of peer-reviewed publications in genomic data analysis.

About the Company

Tuskegee University is a historic institution dedicated to excellence in teaching, research, and service, fostering innovation across diverse scientific disciplines.