Senior Bioinformatics Research Scientist – Integrative Analysis (Crawford Lab)

The Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results.

The lab of Jeremy Chase Crawford https://www.stjude.org/crawford in the Department of Host-Microbe Interactions is seeking a highly skilled Sr. Bioinformatics Research Scientist focused on Integrative Analysis. This position will work at the cross-section of immunology, development of next-generation and multi-omic molecular methods, and integrative analytics to better our understanding of childhood immune development, immune perturbation from disease and treatment, and host-pathogen interactions. As a key stakeholder in these efforts, you will utilize your expertise in molecular, cellular, and computational biology to advance a multi-disciplinary and highly collaborative research program. One major focus of analysis will be on large NGS datasets obtained from single-cell approaches, with a particular emphasis on aligning data obtained from in-house R&D efforts to in-house generated gold-standard datasets; in that regard, you will work closely with wet lab scientists to design experiments, generate data, and develop and apply pipelines for rapid validation of novel molecular assays. Another key responsibility will be leading the integration and interpretation of multi-modal data (e.g., single-cell and bulk gene expression, single-cell and bulk proteomics, and genotypes) in close collaboration with research stakeholders.

The ideal candidate will be highly motivated and detail-oriented with an interest in immunology, integrative biology, molecular assay development, and computational research infrastructure. Excellent communication and organizational skills are required. Success in this position also requires: the ability to multi-task, the ability to collaborate effectively, and working in tandem with multiple members of a culturally and scientifically diverse team to achieve assigned research objectives.

Candidates with experience in the following are especially encouraged to apply:

• Single-cell transcriptomics and/or multi-omics data generation and analysis
• Multimodal analysis of large datasets
• Database design and management

Job Responsibilities:

• Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data.
• Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion.
• Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions.
• Assist in the evaluation and testing of new methods and technologies.
• Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so.
• Participate in the department's developmental projects and interdepartmental team projects.
• Perform other duties as assigned to meet the goals and objectives of the department and institution.
• Maintains regular and predictable attendance.

Minimum Education and/or Training:

• 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 Experience:

• Minimum Requirement: Bachelor's degree with 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience.
• Significant experience in at least one programming or scripting language and at least one statistical package, with R preferred.

Compensation

In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at