Senior Bioinformatics Research Scientist / Bioinformatics Research Scientist Neurobiology and Brain Tumor Program (NBTP)
About The Position
The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. The role provides bioinformatics analysis for investigators and communicates analytical processes and results. It designs, develops, improves, modifies, and operates data analysis pipelines, manages projects, and coordinates analysis and infrastructure efforts as directed. The Neurobiology and Brain Tumor Program (NBTP) is a collaborative translational research program focused on improving survival and reducing morbidity for children with brain tumors. The scientist will contribute to discovery-driven computational studies of multi-omics datasets from children with malignant brain cancer, applying machine learning and integrating bulk, single-cell, and spatial data to generate insights with potential clinical implications. The candidate will work closely with NBTP bioinformatics personnel and collaborate with teams at St. Jude and external institutions. The role requires strong computational analysis and independent troubleshooting, effective communication with principal investigators and collaborators across disciplines, and the ability to work in a highly collaborative team environment.
Requirements
- Master's degree in bioinformatics, statistics/computer science with a biological sciences background, or a related field, with at least 6 years of relevant post-degree experience; alternatively, a PhD with at least 2 years of relevant post-degree experience.
- Experience in at least one programming or scripting language and at least one statistical package; R is preferred.
- Strong problem-solving skills, attention to detail, critical thinking, and ability to troubleshoot computational analyses independently.
- Ability to communicate effectively with principal investigators and collaborators across diverse disciplines and work in a collaborative team environment.
- Experience analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing platforms.
- Proficiency in relevant programming languages such as R and Python, preferably in a high-performance computing environment.
- Proficiency with tools for reproducible pipelines, such as workflow management systems (e.g., Nextflow or Snakemake) and version control (e.g., Git).
- Extensive expertise in data integration and harmonization.
- Proven success collaborating with clinical or multidisciplinary teams in a fast-paced environment.
- Excellent communication and presentation skills.
Nice To Haves
- PhD in bioinformatics, computational biology, and/or data science.
- Experience analyzing data from long-read sequencing, RNA-seq, ATAC-seq, ChIP-seq/CUT&RUN, Hi-C, DNA methylation, single-cell/nucleus RNA-seq, spatial transcriptomics, and quantitative proteomics.
- Strong CV including translational publications in cancer genomics, epigenomics, single-cell, and/or spatial omics.
- Experience with short-read (Illumina) and long-read (e.g., PacBio and Oxford Nanopore) whole-genome sequencing.
- Exposure to building tools and developing pipelines.
- Experience with cancer genomics, human genetics, transcriptomics, or epigenetics.
Responsibilities
- Perform basic and advanced statistical analyses, implement algorithms, program across biotechnology platforms, and oversee quality checks.
- Design and prepare training materials and courses covering bioinformatics software and databases, computing, data mining, and analysis.
- Serve 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 and recommend products and solutions and integrate them.
- Lead development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation and use, and related hardware and software.
- Develop programs to assist in analyzing data within databases.
- Assist with planning, coordinating, and organizing cross-departmental projects, and delegate tasks according to priority, expertise, and capacity.
- Design, develop, improve, modify, and operate data analysis pipelines; manage projects and coordinate analysis and infrastructure efforts as directed.
- Provide bioinformatics analyses to investigators and communicate analytical processes and results.
- Perform other duties as assigned to meet department and institutional goals and objectives.
- Maintain regular and predictable attendance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
