Senior Bioinformatics Research Scientist / Bioinformatics Research Scientist Neurobiology and Brain Tumor Program (NBTP)

The Senior Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other efforts related to analysis and infrastructure as directed.

The Neurobiology and Brain Tumor Program (NBTP) is seeking a highly motivated Bioinformatics Research Scientist. The NBTP is a collaborative translational research program with a mission to improve survival and morbidity for children with brain tumors. Through application of cutting-edge molecular approaches to unique and data-rich cohorts, members of this program are efficiently translating laboratory findings into clinical practice and treatment innovations.

The successful candidate will contribute to discovery-driven computational studies of unprecedented multi-‘omics datasets obtained from children with malignant brain cancer. Through application of machine learning and integration of large multi-modal datasets, including bulk, single-cell, and spatial profiles, we aim to make novel insights with real-world clinical implications.

The candidate will work closely with other bioinformatics personnel within the NBTP to play an integral role in exciting collaborations, both within St. Jude and with prominent external collaborators. A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in NGS data analysis are essential for this position. The successful recruit must have the capacity to execute proficient computational analyses and troubleshoot independently, communicate effectively with the PI and collaborators across diverse disciplines, and thrive in a highly collaborative team environment.

A PhD in bioinformatics, computational biology, and/or data science.

Analyzed date using some the following platforms: 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.

A strong CV that includes translational publications in the field of cancer genomics, epigenomics, single-cell, and/or spatial ‘omics.

Experience in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing platforms including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole-genome sequencing.Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. Exposure to building tools and developing pipelines a plus.

Proficiency in tools for ensuring reproducibility of 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 problem-solving skills and success collaborating with clinical and/or multidisciplinary teams in fast-paced environment.

Excellent communication and presentation skills.

Master's degree in bioinformatics, statistics/computer science (with a background in biological sciences) or related field with 6+ years of experience post degree.

PhD preferred, with 2+ years of experience post degree.

Experience Exception: Master's degree with 6+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience.

Experience in at least one programming or scripting language and at least one statistical package, with R preferred.

The Bioinformatics Research Scientist is responsible for designing, developing, improving, modifying, and operating data analysis pipelines. Manages projects and coordinates other efforts related to analysis and infrastructure as directed.

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 Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry).

Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience.