Senior Bioinformatics Research Scientist

$104,000 - $186,160/Yr

St. Jude Children's Research Hospital - Memphis, TN

Full-time - Senior

Onsite - Memphis, TN

Hospitals

About the position

We are seeking a talented, highly motivated Senior Bioinformatics Research Scientist to lead our bioinformatics pipeline and develop innovative solutions for analyzing and visualizing omics data related to innate immune signaling projects. The candidate will work both collaboratively and independently on projects within the Kanneganti lab in the Department of Immunology. The candidate will lead cutting-edge computational analyses of omics datasets including proteomics, RNAseq, and microarray data, along with filling other needs as they are identified. The candidate will ensure the highly effective and accessible end results of these projects, as well as the scientific accuracy and robustness. Candidates with a strong background in transcriptomic and proteomic data analysis are highly encouraged to apply for this position. Successful candidates will have excellent critical thinking, problem-solving and data management skills and a keen attention to detail. Knowledge of machine learning and artificial intelligence tools is a plus. St. Jude Children's Research Hospital offers a unique environment with clinical and basic science investigators working in close proximity and interacting regularly to translate scientific discoveries into improved therapies for children. If you are a highly motivated individual who wants to work at a world-class institution with state-of-the-art facilities and learn from investigators at the forefront of their fields, consider joining St. Jude. The laboratory is internationally renowned for its expertise in cellular signaling in the immune system. We are particularly interested in dissecting the signaling pathways involved in innate immunity and cell death, with a focus on NLRs, inflammasomes, and cell death machinery. Dr. Kanneganti's lab offers a fast-paced research environment focused on the innate immune system, including an opportunity to collaborate with researchers in the departments of Immunology, Infectious Diseases, Oncology, and beyond. Generous salary support and a benefits package are available. St. Jude Children's Research Hospital has state-of-the-art facilities including core laboratories for proteomics, microarray and RNA-seq analysis of gene expression, transgenic/knock-out technology, and model facilities from biosafety level 2 to enhanced biosafety level 3.

Responsibilities

• Lead the bioinformatics pipeline for analyzing and visualizing omics data related to innate immune signaling projects.
• Conduct computational analyses of omics datasets including proteomics, RNAseq, and microarray data.
• Collaborate with team members and work independently on various projects within the Kanneganti lab.
• Ensure scientific accuracy and robustness of the results from bioinformatics projects.
• Develop innovative solutions for data analysis and visualization.
• Fill other needs as they are identified in the course of research.

Requirements

• Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field.
• Master's degree or PhD preferred.
• Minimum of 7+ years of relevant post-degree work experience in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry).
• If holding a Master's degree, at least 5+ years of relevant post-degree experience is required; if holding a PhD, at least 2+ years of relevant post-degree experience is required.
• Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred.
• Excellent critical thinking, problem-solving, and data management skills.

Nice-to-haves

• Knowledge of machine learning and artificial intelligence tools.

Benefits

• Generous salary support and a benefits package.
• State-of-the-art facilities including core laboratories for proteomics, microarray and RNA-seq analysis of gene expression, transgenic/knock-out technology, and model facilities from biosafety level 2 to enhanced biosafety level 3.