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.

  • Responsible for assisting with laboratory duties in a research setting; performs routine tests with direction from supervisor, manager or higher level technician. This is a part-time position in the Cancer Analysis Group at the McDonnell Genome Institute, focusing on improvements to existing pipelines, benchmarking new tools, algorithmic development, and cancer genome analysis.

    Primary Duties and Responsibilities
    1. Assists investigator or higher level technician with research studies, experiments and assays including collection of data, preparation of solutions and set-up and maintenance of equipment.
    2. Maintains files on research and assists with data entry.
    3. Assists with general lab maintenance and cleaning.

    Required Qualifications

    High school diploma or equivalent.

    Preferred Qualifications

    • Demonstrated ability to maintain complete and organized records/reports; working knowledge of computer software.
    • Some biological training with experience in the unix shell and at least one scripting language (Perl, Python, Ruby, etc).
    • Experience with statistical software packages such as R or SAS.
    • Strong communication skills, a passion for science, and the ability to work effectively on individual projects, as well as part of interdisciplinary teams.

    To Apply

    Please apply on the Washington University Careers website.

    Salary Range

    The hiring range for this position is $12.00 - $15.35 per hour.

    Applicant Special Instructions

    • Works in laboratory environment with potential exposure to biological, chemical and radioactive hazards.
    • Must be physically able to wear protective equipment.

    Department Summary

    Learn more about the McDonnell Genome Institute.

    Benefits

    This position is not eligible to receive 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.

  • Library construction position assists with the technical aspects of studies and experiments including documentation and preparation of materials.

    The job responsibilities for this position include constructing high quality libraries for the manual illumine pipeline. An ideal candidate for this position will have a significant attention to detail, familiarity with general use of computer software and tools, and the ability to learn new tasks quickly and apply skills to a variety of circumstances. This position will also require good communication skills to provide lab process notes and overall communication with the supervisor. The candidate should have the ability to assist with troubleshooting problems in the pipeline and making pipeline improvement requests.

    Primary Duties and Responsibilities
    1. Assists with research studies, experiments and assays including collection of data, preparation of solutions and set-up and maintenance of equipment.
    2. Performs data entry and maintains data files on research.
    3. Prepares tissue cultures, reagents, probe tests, etc.
    4. Complies with established safety procedures and maintains required documentation on laboratory and specimen conditions.
    5. Ensures lab conditions and equipment are properly cleaned and maintained in accordance with established procedures.
    6. Assists with general lab maintenance and cleaning.

    Required Qualifications

    Bachelor’s degree and up to 1 year of experience in a laboratory setting or equivalent combination of education and experience equaling 4 years required.

    Preferred Qualifications

    • Demonstrated ability to work independently and communicate with laboratory staff and investigators.
    • Ability to maintain complete and organized records/reports.
    • Working knowledge of computer software and general lab equipment.

    To Apply

    Please apply on the Washington University Careers website.

    Salary Range

    The hiring range for this position is $13.52 - $18.25 per hour.

    Applicant Special Instructions

    • Works in laboratory environment with potential exposure to biological, chemical and radioactive hazards.
    • Must be physically able to wear protective equipment.

    Department Summary

    Learn more about the McDonnell Genome Institute.

    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.

  • The McDonnell Genome Institute at WU has an opening for a talented technical manager in the IT group.

    The position will manage an experienced group of software engineers developing software that supports the tracking of laboratory and analysis processes for large-scale genomic research and institutional business data. The software system also supports the management of scalable storage and computing needs for research at the Institute. Therefore, the software development manager works closely with systems and user support managers to coordinate support and development activities that leverages the latest in open source and proprietary technologies to provide a robust, scalable and sustainable IT infrastructure.

    Primary Duties and Responsibilities

    The ideal candidate has a software engineering background with proven leadership skills serving as technical lead in small teams. This position serves primarily as technical lead of the software development team. Responsibilities include the planning, development, deployment, management and maintenance of custom software systems developed within the IT group, and the management and direction of the software developer team, including career development and performance reviews. Daily management responsibilities affords the candidate the opportunity to be involved in software development tasks, and is not restricted to management or architectural roles. The ideal candidate would have some system administration experience, or understanding of physical and virtual network and computing systems.

    Required Qualifications

    Bachelor's degree in Computer Science or related field with 8+ years experience in systems management including supervisory responsibility.

    Preferred Qualifications

    • Automation frameworks (Puppet)
    • Virtualization (OpenStack, Docker, VMware, KVM, Virtual Box, etc.)
    • Development experience with shell (Bash), Perl, Python, Ruby, HTML, CSS, Javascript
    • Databases (Oracle, PostgreSQL, Redis)
    • Job schedulers/managers (Platform LSF, GridEngine)
    • Version control (Git, Bitbucket)
    • Continuous Integration (Jenkins, Bamboo)
    • Software design principals, object-oriented architecture, relational data modeling, and web interface design
    • Troubleshooting Linux software application stacks (databases, web applications, networks, etc.)

    To Apply

    Please apply on the Washington University Careers website.

    Salary Range
    The hiring range for this position is $74,297 - $98,446 annually.

    Department Summary
    Learn more about the McDonnell Genome Institute.

    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.

  • The McDonnell Genome Institute at WU has an opening for a talented software engineer in the IT group.

    The position will work with an experienced group of software engineers and system administrators to develop software. The software directly supports the tracking of laboratory and analysis processes for large-­scale genomic research projects and the institutional data (funding, access controls, auditing, data-use agreements). In addition, the software system also provides scalable storage and computing needs for general research.

    Primary Duties and Responsibilities

    We are looking for someone with expertise and interest in maintaining and extending elements of our legacy software systems (LiMS and Genome Modeling System) as we develop new services and facilitate the sequencing, analyzing, and sharing of tens-of­thousands of genomes. This software engineer will leverage the latest in open source and proprietary technologies to provide a robust, scalable and sustainable IT infrastructure to support the storage and computing needs of all research at the Institute.

    Required Qualifications

    Certification or degree in computer programming from a technical school or college plus 4 years of relevant work experience required; additional programming or other relevant IT experience may be substituted year-for-year for required education

    Preferred Qualifications

    • Automation frameworks (Puppet)
    • Virtualization (OpenStack, Docker, VMware, KVM, Virtual Box, etc.)
    • Development experience with shell (Bash), Perl, Python, Ruby, HTML, CSS, Javascript
    • Databases (Oracle, PostgreSQL, Redis)
    • Job schedulers/managers (Platform LSF, GridEngine)
    • Version control (Git, Bitbucket)
    • Continuous Integration (Jenkins, Bamboo)
    • Software design principals, object-oriented architecture, relational data modeling, and web interface design
    • Troubleshooting Linux software application stacks (databases, web applications, networks, etc.)

    To Apply

    Please apply on the Washington University Careers website.

    Salary Range
    The hiring range for this position is $67,246 - $87,443 annually.

    Department Summary
    Learn more about the McDonnell Genome Institute.

    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.

  • 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.

  • This individual will be responsible for development, implementation, and support of software applications related to variant detection and interpretation from high-throughput experiments involving hundreds of individuals.

    Essential Functions

    Our group’s focus is on translating discoveries from large-scale sequencing into novel hypotheses and medically actionable information. This requires pioneering new software methods that work in tandem with cutting-edge genomic technology to identify variants that contribute to disease, including mutations, gene expression data, epigenetic modification, copy number, and structural variation. These drive more integrated analysis methods that fuel our understanding of biological function at the pathway and cellular levels. Using information from thousands of tumors across dozens of cancer types, we aim to address biological questions that were previously unanswerable about the origins and progression of cancer.

    This Postdoc Research Associate 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.

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

    Preferred Qualifications
    Candidates should have 4+ years of experience in molecular biology, genetics, or bioinformatics. The position requires proficiency in programming (Perl, C++), UNIX-like operating systems, and experience with statistical analysis packages (SAS, R, Matlab, or Bioconductor). Applicants are also expected to be familiar with bioinformatics tools and genomics databases. 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 and produce scientific publications is required. The ability to communicate well with others and work with teams of software developers and scientists is critical.

    To Apply
    Please send a letter of interest and curriculum vitae to Dr. Li Ding at lding@genome.wustl.edu.

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

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

    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.