OPEN POSITIONS

Bioinformatics Research Assistant
We are looking for an enthusiatic bioinformatician to assist with research projects including computational data analysis and documentation in the field of hematological malignancies and breast cancer
Assists research studies with implementation of:
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Existing algorithms and computer software for analyzing omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]
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Data management and analysis solutions that assist in storage, investigation, and dissemination of large data sets.
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Provides critically complex research and experimentation for department/s allowing the advancement of scientific analysis and discovery.
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May participate and/or present on the research developed, or the established work of those within the department.
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Demonstrated ability to implement organize, analyze, and process RNA sequencing, DNA sequencing data, or single cell sequencing, and records findings.
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Independent, self-motivated and eager to acquire new knowledge and skills on a regular basis.
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Ability to analyze, interpret, and communicate results with others.
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Experience working in a dry lab setting with background in RNA biology or cancer biology.
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Experience analyzing pull-down sequencing data and long read data (meRIP-Seq, CLIP-Seq, or CHIP-Seq, Oxford Nanopore Direct-Seq) is a plus
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Works with research team to develop new algorithms to support studies.
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Assists with reporting of methods, data, and results.
MINIMUM EDUCATION/EXPERIENCE: Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field required; OR combined education and experience of 5 years.

Current WashU Students
Undergraduate Students/Fellows (Trainees) are always welcomed. We encourage students to apply for Thesis work or BIO500 BIO200 courses.
We are also open to students from other universities that need to receive credit through a program (i.e internships).

Graduate and Medical Students
Cancer metastasis
We are seeking a motivated excited graduate students to join the lab and work on RNA modifications or RNA-protein binding. This new area of research will allow you to apply both bioinformatics and a wet lab techniques. Our research also allows you to work on patient samples.
Genomics
Computational analysis of RNA Sequencing, CHIP-Seq, iCLIP-Seq, RIP-Seq, CRISPRi Screening, and scRNA Seq data in metastatic cancer.
You will also have exceptional mentorship and guidance in a supportive lab environment.

JOIN OUR LAB!
Please fill out form below.
