Department Name/Job Location:
This position is in the Department of Internal Medicine, Division of Bone Marrow Transplant. This position is for the Medical School Campus.
Assists in developing and conducting research projects, including experimental design, data analysis, and documentation of experiment results.
The bioinformatics position focuses on functional genomics using large next-generation sequencing datasets with an emphasis on RNA-seq. The main interest of our laboratory is to understand the molecular mechanisms that control blood cancer development. A research position is available for a highly motivated individual to study the role of mutations in genes that control pre-mRNA splicing in blood cancer pathogenesis. Research will include analysis of large RNA-seq data sets generated from various hematopoietic cell populations (including stem and progenitor cells) isolated from novel mutant mouse models and primary patient samples with blood cancers. We will study how altered RNA splicing and expression of small non-coding RNAs contribute to hematopoietic phenotypes. All these studies involve state of the art technologies and incorporate bioinformatics, functional genomics, next-generation sequencing, hematopoiesis, stem cell and tumor biology, and utilize both mouse models and primary patient samples to study blood cancers. Applicants should be proficient in Perl and at least python or R, knowledgeable in statistical modeling (in particular, generalized linear models) and experienced in RNA-seq analysis, including alignment (e.g., tophat, STAR), transcript assembly/quantification (e.g., cufflinks, kallisto), gene count quantification (e.g., htseq-count), differential gene expression (e.g., DESeq, edgeR), and differential splicing (e.g., DEXseq, MATS). In addition, analysis of next-generation sequencing data generated using a novel error-corrected DNA sequencing method will be done to track the abundance of rare tumor cells in patient samples during treatment.
PRIMARY DUTIES AND RESPONSIBILITIES:
- Implements existing algorithms and computer software for analyzing high-throughput, massively parallel genomic data sets and performs complex systems analysis of data and writes interpretative reports
- Independent research projects, including design, analysis and management of data
- Utilizes commercial and academic bioinformatics software
- Relational databases to store, disseminate and analyze data
- Trains other researchers on the everyday use of analysis software and research databases
- Assists with grant preparation and reporting of methods, data, and results
Bachelor’s degree in science or related field plus 4 years of experience required
- Master’s degree or Ph.D. in computer science or related field highly preferred.
- Analytical, reasoning, and problem-solving skills; good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics; ability to analyze and interpret large complex data sets, such as sequences, microarray gene expression studies, human genetic studies, and model organism studies, and to communicate data in a clear, concise manner; expertise in standard bioinformatics tools; working knowledge of regulatory networks, human genetics (SNP, etc.), and complex systems analysis;
- Expertise in scientific scripting languages (e.g., Perl, Vbscript), database management software (Oracle, Structured Query Language [SQL] Server), and the SQL, HTML, ASP, and CGI in a UNIX/Linus and Windows environment; expertise in molecular and functional genomic techniques is beneficial.
Offers made for this position are contingent upon the successful completion of all required pre-employment screens, including a criminal background check, hair sample drug screen, and verification of required professional licenses, registrations, or certifications.
This position is full-time and works approximately 40 hours per week.
The hiring range for this position is $51,729 – $69,846 annually.
This position is eligible for full-time benefits.� Please visit our website at http://hr.wustl.edu to view a summary of benefits.