2 часа назад
Bioinformatics Research Scientist (Immuno-Oncology)
86 320 - 154 960$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Bioinformatics Research Scientist (Immuno-Oncology): Developing and leading computational analyses and visualization of omics datasets for pediatric immuno-oncology studies with an accent on transcriptomics, proteomics, single-cell sequencing, spatial omics, and functional genomics. Focus on implementing statistical algorithms, building data pipelines and databases, processing large-scale datasets in HPC environments, and ensuring rigorous, accessible research results.
Location: Memphis, Tennessee, United States
Salary: $86,320–$154,960 per year
Company
is a pediatric research hospital where clinical and basic science investigators collaborate to translate discoveries into improved therapies for children.
What you will do
- Develop innovative solutions for analyzing and visualizing omics data in pediatric immuno-oncology research.
- Lead computational analyses of transcriptomics, proteomics, scRNA-seq, ATAC-seq, spatial omics, CRISPR screens, and related datasets.
- Perform statistical analysis, implement algorithms, develop programs, and oversee quality checks.
- Build, implement, maintain, and support databases, including data collection and usage workflows.
- Establish research protocols and standard operating procedures, evaluate solutions, and integrate best practices.
- Coordinate cross-departmental projects, collaborate with scientists and developers, and delegate tasks based on project priorities.
Requirements
- Bachelor's degree in bioinformatics, cheminformatics, statistics, computer science with a biological sciences or chemistry background, or a related field.
- At least 6 years of relevant post-degree experience with a bachelor's degree; alternatively, a master's degree with 4+ years of experience or a PhD with no experience.
- Strong programming skills in R and Python, including bioinformatics workflows and data analysis pipelines.
- Hands-on experience with Linux and high-performance computing environments for large-scale data processing.
- Experience analyzing next-generation sequencing data, including CRISPR screening, single-cell RNA-seq, ATAC-seq, ChIP-seq, and spatial transcriptomics.
- Strong critical thinking, problem-solving, data management, attention to detail, and experience with statistical software.
Nice to have
- Master's degree or PhD in a relevant field.
- Knowledge of machine learning and artificial intelligence tools.
Culture & Benefits
- Work within the Center of Excellence in Pediatric Immuno-Oncology and its interdisciplinary research environment.
- Collaborate with clinical and basic science investigators, postdoctoral research associates, faculty, and specialized research centers.
- Access a world-class institution with state-of-the-art research facilities.
- Benefits are offered as part of the full-time employment package.
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