Bioinformatics Research Scientist - Center of Excellence for Pediatric Immuno-Oncology
About The Position
The Bioinformatics Research Scientist will join the Center of Excellence in Pediatric Immuno-Oncology (CEPIO) at St. Jude Children's Research Hospital and work on the Immuno-Oncology Target Identification via Systems Immunology (iTARGETS) initiative. The position is embedded in the laboratory of Hongbo Chi, PhD, chair of the Department of Immunology, and works with an interdisciplinary group of scientists, postdoctoral research associates, and faculty. The scientist develops approaches for analyzing and visualizing omics data for immuno-oncology studies, working both independently and collaboratively on CEPIO projects. The role leads computational analyses of transcriptomics, proteomics, single-cell RNA sequencing, ATAC-seq, spatial omics, CRISPR screens, and other datasets, ensuring that project results are accessible, scientifically rigorous, and accurate. The successful candidate will also support related computational needs as they arise. CEPIO is a cross-disciplinary hub established in 2023 to advance immuno-oncology research across St. Jude's basic and clinical departments, cores, and centers, with a focus on systems immunology, functional genomics, and translational immuno-oncology.
Requirements
- Bachelor's degree in bioinformatics, cheminformatics, statistics or computer science with a background in biological sciences or chemistry, or a related field.
- Relevant post-degree experience: bachelor's degree with at least 6 years; master's degree with at least 4 years; or PhD with no experience requirement.
- Experience with at least one programming or scripting language and at least one statistical package; R is preferred.
- Excellent critical-thinking, problem-solving, and data-management skills, with keen attention to detail.
Nice To Haves
- Master's degree or PhD.
- Strong R and Python programming skills, including developing bioinformatics workflows and data-analysis pipelines.
- Hands-on experience with Linux operating systems and high-performance computing environments for large-scale data processing.
- Extensive experience analyzing and interpreting next-generation sequencing data, including CRISPR screening, single-cell RNA-seq, ATAC-seq, ChIP-seq, and spatial transcriptomics.
- Background in transcriptomics, proteomics, functional genomics, and/or spatial omics.
- Knowledge of machine-learning and artificial-intelligence tools.
Responsibilities
- Independently perform basic and advanced statistical analyses, implement algorithms, program across biotechnology platforms, and oversee quality checks.
- Design and prepare materials and courses for training on bioinformatics software and databases, computing, data mining, and analysis.
- Act as a liaison among end-users, software developers, system designers, and departments.
- Establish protocols, best practices, and standard operating procedures for common research tasks; evaluate products and solutions, make recommendations, and integrate solutions.
- Lead the development, implementation, installation, and maintenance of databases, and coordinate data collection, database implementation and use, and related hardware and software.
- Develop programs to support analysis of data within databases.
- Assist in planning, coordinating, and organizing cross-departmental projects, and delegate tasks according to priority, expertise, and capacity.
- Lead computational analyses of omics datasets and develop solutions to analyze and visualize immuno-oncology data.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
