Careers

Welcome to the McDonnell Genome Institute's Careers page. Our mission is to help improve the human condition by producing, studying, and interpreting high-quality genome-based data that drives biological discoveries that range from the bench to the hospital bedside. We value the open sharing of information and ideas and encourage collaboration while also engaging the next generation of scientists through educational outreach efforts. If you would like to join our team please see the list of open positions below.

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  • MGI is looking for a talented bioinformatics scientist to work with a dedicated team of researchers investigating Cancer Genomics.

    Our group develops and applies computational tools to help understand the origins and progression of cancer. We specialize in translating large-scale sequence data (genomic DNA, RNA-seq, and bisulfite-seq, among others) into insight about how to better detect cancer, predict its response to therapy, and treat patients.

    We are seeking an individual that can work in tandem with oncologists to probe the genomics of tumorigenesis, relapse, and clonal evolution in response to therapy. This work will include development of new algorithms, statistical tests, and visualizations that provide insight into the biology of cancer. Other portions of their your may be spend analyzing and interpreting cases from our clinical sequencing group, in an environment where your work may directly influence patient care.

    Through this position, you will have opportunities to contribute to and lead impactful studies that result in high-profile publications.

    Primary Duties and Responsibilities

    • Take a leadership role in collaborations with other groups here at WUSTL, aiding in design of analysis plans for sequencing-based projects studying the genetics and epigenetics of cancer. This is likely to include research into the genomics of tumor clonality, progression, treatment response and other cancer-related studies.
    • Cooperation with computer scientists to evaluate and extend analysis pipelines for analysis of high throughput sequencing data.
    • Interpretation of genetic and epigenetic changes in cancer including mutations, gene expression data from RNAseq, epigenetic modification, copy number and structural variation.
    • Integrated pathway and gene network analysis related to cancer.
    • Interaction with teams of diverse internal and external collaborators including oncologists, computer scientists, biologists, and other geneticists/statisticians.
    • Build and maintain collaborative programs spanning the MGI and Institute for Informatics, with an emphasis on supporting/enabling discovery science and/or precision medicine initiatives.


    Basic Qualifications
    Ph.D. training in Bioinformatics or Genomics

    Additional Qualifications

    • Some post-doctoral or post-degree research scientist experience.
    • Proficiency in the unix shell and at least one scripting language (Perl, Python, Ruby, etc)
    • Experience with statistical software packages such as R or SAS
    • Experience analyzing large genomic data sets.
    • Strong communication skills, a passion for science, and the ability to work effectively on individual projects, as well as part of interdisciplinary teams.
    • Experience in a supervisory role is a plus


    Contact

    Dr. Chris Miller at c.a.miller@wustl.edu

    Benefits

    This position is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits.

    EOE Statement

    Washington University in St. Louis is an equal opportunity, affirmative action employer and encourages applications from women, ethnic minorities, veterans, and individuals with disabilities.

  • MGI's Center for Common Disease Genomics has an opening for a postdoctoral fellow position focusing on human and statistical genetics.

    We welcome applications from highly motivated and enthusiastic scientists to fill multiple positions immediately available focusing on human and statistical genetics in the McDonnell Genome Institute (MGI) at the Washington University School of Medicine. As one of NHGRI’s Centers for Common Disease Genomics, we aim to understand the inherited susceptibility underlying cardiometabolic traits and diseases, autoimmune disorders, and related risk factors. We are also actively developing methods for the analysis and interpretation of complex genetic data. We study these problems in hopes of applying genetic findings and techniques to improve human health.

    Successful candidates will have the opportunity to work with one of several principal investigators studying common disease genetics at MGI. Candidates will work to discover novel genes and pathways underlying a variety of diseases and traits using deep whole genome sequence data in >50,000 individuals and will have access to a wide array of data (including genome-wide arrays and whole exome sequences) in tens/hundreds of thousands of participants for follow-up studies. Candidates will have the opportunity to participate in large international consortia and develop their own independent research projects.

    Required Qualifications
    Candidates should have a PhD (or equivalent doctorate) or MS in genetics, bioinformatics, computational biology, or related areas and a track record of scientific productivity. There should be evidence of a strong quantitative research background with experience in programming and statistics.

    To Apply
    Interested candidates should email their CV to Ira Hall (ihall@wustl.edu) and/or Nathan Stitziel (nstitziel@wustl.edu).

  • A post-doctoral research position is available focusing on applying and developing computational and statistical tools to analyze whole genome and transcriptome sequencing data for personalized cancer medicine.

    Essential Functions

    A post-doctoral research position is available focusing on applying and developing computational and statistical methods to analyze whole genome and transcriptome sequencing data for translational and clinical lymphoma research. This position will be part of collaboration between the Fehniger and Griffith labs at Washington University School of Medicine.

    • Analysis, integration and visualization of genomic changes in lymphoma including mutations, gene expression data, copy number and structural variation.
    • Association of genomic changes with clinical variables and outcomes in lymphoma.

    Environment

    One of only three NIH-funded large-scale genome centers in the United States, the McDonnell Genome Institute at Washington University is a leader in genomics research as it applies to the study of biology, human disease and the field of personalized medicine. Our mission is to improve the human condition by producing, studying, and interpreting high-quality genome-based data that drives biological discoveries that range from the bench to the hospital bedside. We value the open sharing of information and ideas and encourage collaboration while also engaging the next generation of scientists through educational outreach efforts. The Griffith lab focuses on informatics approaches to detecting molecular alterations in human cancers to improve our understanding of cancer biology and develop resources to facilitate personalized cancer medicine. The Fehniger lab studies benign and malignant lymphocyte molecular and cellular biology, and translating novel findings into new therapies or biomarkers for patients with leukemia and lymphoma.

    As a postdoc in this lab you will benefit from a large and dynamic team of bioinformaticians, software engineers, and computationally minded molecular biologists while engaging with a dedicated group of basic, translational, and clinical scientists aimed at improving the outcomes for patients with lymphoma and related diseases.

    Required Qualifications

    Applicants should have a graduate degree in biology, bioinformatics, computational biology, or related field with a solid background in programming and statistics. Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and be familiar with statistical analysis packages (SAS, R, or Bioconductor). Also expected to be familiar with bioinformatics tools and genomics databases. The ability to analyze and interpret results to communicate with others and produce scientific publications is required.

    Preferred Qualifications

    The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. Previous experience in cancer genomics and lymphoma would be an advantage but is not essential.

    To Apply

    Send resume, cover letter and three letters of reference to Dr. Obi Griffith at obigriffith@wustl.edu.

    Salary Range
    The hiring range for this position is commensurate with experience.

    Department Summary
    Learn more about the McDonnell Genome Institute, Griffith Lab, and Fehniger Lab.

    Benefits
    This position is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits. Make sure to look for postdoc benefits.

    EOE Statement
    Washington University in St. Louis is an equal opportunity, affirmative action employer and encourages applications from women, ethnic minorities, veterans, and individuals with disabilities.

  • A Computational Biology/Bioinformatics Postdoctoral Scholar position focusing on cancer genomics is available in the Maher Lab at the McDonnell Genome Institute at Washington University.

    The Maher Lab focuses on developing computational methods for analyzing large-scale cancer genomics data collections from solid tumors to improve our understanding of cancer biology and identify novel therapies for treating patients. Active projects address topics such as the discovery and characterization of novel long non-coding RNAs (lncRNAs), detecting structural variation, cancer evolution, and the development of new bioinformatics tools.

    This Postdoctoral Scholar position requires extensive communication and collaboration with our group of computational biologists, programmers, and clinicians, and includes opportunities to initiate and contribute to publication of novel methodologies and scientific findings.

    Primary Duties and Responsibilities
    1. Evaluation and design of experimental plans for sequencing-based projects studying the genetic basis of cancer.
    2. Implementation and development of automated pipelines to analyze high throughput sequencing data.
    3. Integration of genetic and epigenetic changes in cancer including mutations, gene expression data, epigenetic modification, copy number and structural variation.
    4. Integrated pathway and gene network analysis related to cancer.
    5. Analyze and interpret results to communicate with others and produce scientific publications is required.

    Required Qualifications
    A PhD in bioinformatics, computational biology or related field, with a solid background in programming and statistics.

    Preferred Qualifications
    Candidates should be comfortable working on UNIX/Linux operating system, program with Perl and/or Python, and familiar with statistical analysis packages (SAS, R, or Bioconductor). Also expected to be familiar with bioinformatics tools and genomics databases. Previous experience in cancer genomics would be an advantage but is not essential.

    The successful candidate will be self-motivated, eager to acquire new knowledge and skills on a regular basis, and must demonstrate critical thinking skills. The ability to analyze and interpret results to communicate with others and produce scientific publications is required.

    To Apply
    Please send a letter of interest and curriculum vitae to Dr. Christopher Maher at christophermaher@wustl.edu.

  • This individual will focus on using high-throughput methods to study the causes and consequences of genome variation in mammals.

    Essential Functions

    One of only three NIH-funded large-scale genome centers in the United States, the McDonnell Genome Institute at Washington University is a leader in genomics research as it applies to the study of biology, human disease and the field of personalized medicine. Founded in 1993, the McDonnell Genome Institute focuses on cancer genomics, the genomics of heritable diseases, microbial and pathogen genomics, as well as novel sequencing and evolutionary genomics

    Our mission is to help improve the human condition by producing, studying, and interpreting high-quality genome-based data that drives biological discoveries that range from the bench to the hospital bedside. We value the open sharing of information and ideas and encourage collaboration while also engaging the next generation of scientists through educational outreach efforts.

    Postdoctoral research positions in the area of Genomics and Bioinformatics are available in the laboratory of Dr. Ira Hall at the McDonnell Genome Institute at Washington University School of Medicine in St. Louis. Our group is focused on using high-throughput methods to study the causes and consequences of genome variation in mammals. Active projects address topics such as structural variation, genetic mosaicism, single cell genomics, cancer evolution, personal genome sequencing, and the development of new bioinformatic tools. As members of the McDonnell Genome Institute, we also participate in large-scale sequencing projects aimed at defining the genetic causes of human disease, and in efforts to develop and implement genome-based clinical assays.

    Required Qualifications

    A Ph.D. in a genomics-related field such as genetics, bioinformatics or computational biology, with a solid background in programming and/or statistics.

    Preferred Qualifications

    The ideal candidate will be proficient in programming (Python or C++), statistical analysis packages (Matlab or R), UNIX-like operating systems and high performance computing, and will have experience analyzing large-scale genomic datasets. The ability to analyze and interpret results and produce scientific publications is required. The ability to communicate well with others and work with teams of scientists, programmers and clinicians is critical.

    To Apply

    Please send a letter of interest and curriculum vitae to Dr. Ira Hall at ihall@genome.wustl.edu.

    Salary Range
    The hiring range for this position is commensurate with experience.

    Department Summary
    Learn more about the McDonnell Genome Institute and the Hall Lab.

    Benefits
    This position is eligible for full-time benefits. Please visit our website at http://hr.wustl.edu to view a summary of benefits. Make sure to look for postdoc benefits.

    EOE Statement
    Washington University in St. Louis is an equal opportunity, affirmative action employer and encourages applications from women, ethnic minorities, veterans, and individuals with disabilities.