Senior Computational Research Scientist (Genomics)

Location: Memphis, Tennessee, United States; regular in-person attendance at meetings and relevant presentations is required.

Salary: $104,000–$186,160 per year.

Company

hirify.global conducts pediatric cancer research and provides computational infrastructure, genomic analysis expertise, high-performance computing, cloud computing, and automated analytical pipelines.

What you will do

• Lead computationally focused research projects with increasing independence.
• Develop and deploy methods and software pipelines for gene regulation and pediatric cancer research.
• Analyze and integrate data from ChIP-seq, CUT&RUN, CUT&Tag, ATAC-seq, HiChIP, Hi-C, bulk RNA-seq, and single-cell RNA-seq experiments.
• Identify, organize, process, interpret, review, and report genomic data across large datasets.
• Collaborate with multiple principal investigators and multidisciplinary, inter-institutional research teams.
• Present findings and prepare complex manuscripts with minimal supervision.

Requirements

• Bachelor's degree in bioinformatics, molecular biology, biochemistry, computer science, or a related field, plus 7 or more years of relevant experience.
• Alternatively, a master's degree with 5 or more years of relevant experience, or a PhD with 2 or more years of relevant experience.
• Experience with computational research techniques, genomic analysis pipelines, and large-scale dataset management.
• Experience with tools such as bedtools, samtools, and HiCPro, along with applied high-throughput sequencing analysis.
• Strong scientific productivity, such as first-author publications or a demonstrable contribution to a major research project.
• Strong communication and interpersonal skills for collaborative research.

Nice to have

• PhD in computational biology, bioinformatics, systems biology, genetics, genomics, statistics, mathematics, computer science, or a related quantitative field.
• Experience with chromatin and gene expression analysis, transcription factors, enhancers, genome structure, and transcriptional condensates.
• Experience with multi-omic integration and creating clear scientific figures in R.

Culture & Benefits

• Access to high-performance computing clusters, cloud computing resources, visualization tools, and automated analytical pipelines.
• Mentorship from faculty scientists in data analysis, data management, and delivery of research results.
• Opportunities to contribute to first-author and high-profile publications.
• Work within a multidisciplinary, inter-institutional research environment focused on pediatric cancer.