Employment

  • Bioinformatics Developer - Lafayette, CO, US 

    Staff Scientist - Bethesda, MD, US  

    Staff Scientist, Bioinformatics - Bethesda, MD, US 

        

    Thermo Fisher Scientific's Lafayette, CO site is currently hiring for a Bioinformatics Developer to join our bioinformatics group. 

     

     Job Description 

     

    Job Title:  Bioinformatics Developer 1 

    Reports To:  (note direct and matrix reporting lines as applicable) Bioinformatics Manager 

    Group/Division:  ATG/Biosciences 

    Career Band:  Professional III 

    Location:  Lafayette, CO 

    No. of Direct Reports:  0 

    Day/Shift:  M-F/ 8 am – 5 pm (additional hours as required) 

    FLSA Status:  Exempt 

     

    Position Summary: (job duties, responsibilities, day-to-day activities) 

    This position is accountable for the technical development, maintenance and quality of the Company’s bioinformatics solutions and data analyses. 

    • Develops, tests, and documents custom software for product design and data analysis. 
    • Directs the development and completion of projects with limited supervision 
    • Designs and performs custom data analyses for internal and external customers 
    • Executes and interprets research plans for in silico experiments with limited supervision 
    • Assimilates novel business-relevant techniques and develops technical expertise 
    • Trains junior team members 
    • Delivers research presentations 
    • Liaises with internal customers to gather user requirements, explain custom analyses, and provide occasional technical product support 

     

    Minimum Requirements/Qualifications: (degree/education, years of experience, minimum qualifications, industry- or instrument-specific experience, skills required.) 

    • 2+ years experience with object-oriented software development 
    • 1+ years experience with database development and data modeling 
    • Excellent communication skills, both written and verbal, as well as people skills 
    • Ability to multi-task, exercise judgement in setting priorities, and self-motivate 
    • Drive to self-educate on novel scientific and technical approaches 
    • Previous bioinformatics experience, with knowledge of RNA biology or next-generation sequencing data analysis a plus 
    • Experience with software unit testing and design patterns highly desirable 
    • Experience developing on a variety of languages and platforms, with experience in C# a plus 
    • Background in a hard science (especially biology or chemistry) highly desirable 
    • Statistics experience highly desirable 
    • Bachelor’s or higher degree in Computer Science, Engineering, Biology or similar degree strongly preferred 

     

    If interested, please apply through the Thermo Fisher Scientific Careers page at http://www.thermofisher.com/global/en/about/careers/careers.asp  

     

      

    The National Institute of Allergy and Infectious Diseases (NIAID/NIH) is looking for a Staff Scientist to join the Laboratory of Systems Biology (LSB) Signaling Systems Unit (SSU) 

     

    The National Institute of Allergy and Infectious Diseases (NIAID) conducts and supports a global program of research to better understand, treat, and ultimately prevent infectious, immunologic, and allergic diseases. NIAID’s Laboratory of Systems Biology (LSB) Signaling Systems Unit (SSU) has an opening for a staff scientist with expertise in experimental systems biology and innate immune signaling.

     

    The response of innate immune cells to pathogenic stimuli is mediated by a wide range of pattern recognition receptors (PRRs) that engage unique invariant molecular components of bacteria, viruses, or parasites. PRR activation leads, through cell signaling and transcriptional upregulation, to a program of cellular responses that orchestrate the host response to infection. Our laboratory seeks to understand the principles of signal processing used by innate immune cells to integrate complex inputs and evoke specific responses. We use high-throughput genome-scale technologies (such as siRNA screening and profiling of RNA expression and protein modification) to broadly characterize the cellular response to pathogenic stimuli. Our lab is part of an integrated systems biology program at NIAID that seeks to foster collaboration between experimental and computational scientists, with the shared goal of developing quantitative models describing host-pathogen interactions.

     

    The successful applicant will have primary responsibility for developing mammalian cellbased reporter assays, particularly the use of fluorescent signaling reporters for highcontent imaging applications, and for overseeing the RNAi screening activities of the laboratory, including managing large reagent sets and siRNA libraries, maintaining and operating screening equipment, screen data handling, and interfacing with informatics colleagues to facilitate data analysis. 

     

    Additionally, there will be opportunity for the successful applicant to design and implement projects that take an integrative approach to understanding host-pathogen interactions, incorporating data from complementary approaches such as transcriptomics and phosphoprotein profiling and leveraging additional resources from other LSB research groups.

     

    The position requires a Ph.D. and at least three years of postdoctoral experience, a strong record of productive research supported by publications, and a proven ability to work in a group setting, preferably with supervisory experience. Bench expertise in cellular biochemistry, molecular biology, and, preferably, RNAi methodology, along with skills in statistical data analysis, are highly desirable. For more information about LSB, visit www.niaid.nih.gov/labsandresources/labs/aboutlabs/lsb. 


     To apply, send curriculum vitae, bibliography, three letters of recommendation, and a short statement about your skill set, including how you see applying integrative screening approaches to better understand host-pathogen interactions (no more than two pages), to Iain Fraser, Ph.D., Chief, SSU, LSB, NIAID/NIH/HHS, 4 Memorial Drive, Building 4, Room 228A, Bethesda, MD 20892-0430 or fraseri@niaid.nih.gov. 

     

    Learn more about NIAID and how you can play a role in this exciting and dynamic research organization: 

     

    • Visit us on the Web: www.niaid.nih.gov/careers/bl6 

    • Follow us on Twitter: Twitter.com/NIAIDCareers 

    • Become a fan on Facebook: Facebook.com/niaid.nih 

     

    HHS, NIH, and NIAID are equal opportunity employers.  

     

      

      

    Staff Scientist, Division of Intramural Research, NIAID, NIH, HHS  

     

    The Laboratory of Systems Biology (LSB) is recruiting an individual who will have responsibilities in the broad area of computational analysis of diverse data sets from high‐throughput assays such as microarrays, RNAi screens, mass spectrometry/proteomics, high‐content imaging, and SNP genotyping.

     

    This position involves close collaboration with multiple experimentalists to answer biological questions of interest by performing quality control of the experimentally generated data, relevant statistical analyses of the processed data, and bioinformatics analyses to refine or interpret the resulting discoveries in the context of third‐party knowledge from literature or other public databases. To facilitate efficient data retrieval and data mining, this individual will build databases and software infrastructure to load, store, and organize the diverse data sets, associated metadata, and analysis results from the high‐throughput assays. 

     

    The position also involves working with other computational biologists in LSB to conduct cutting‐edge bioinformatics and systems biology research, such as developing novel statistical methods for the analysis and integration of high‐dimensional data sets to gain biological insight. Because the computing infrastructure of the LSB is by necessity very inhomogeneous, the incumbent will likely need to develop or work with custom hard‐ and software solutions to accomplish these various goals.

     

    The ideal candidate will have a Ph.D. in computational biology, bioinformatics, systems biology, or relevant disciplines and three or more years of hands‐on research experience with the analysis of highthroughput data sets. He or she should possess a sound knowledge of statistics and quantitative modeling, as well as solid computer programming skills with proficiency in Matlab/R, SQL, and at least one scripting language (Perl/Python/Ruby). Proficiency in C/C++ and/or Java and experience with multiple operating system platforms (Windows, Mac, Linux) are definite pluses. 

     

    Interested candidates may contact Ronald Germain, M.D., Ph.D., Chief, LSB, DIR, NIAID, at 301‐496‐1904 or rgermain@niaid.nih.gov for additional information about this position. 

     

    To apply, submit your curriculum vitae, bibliography, and a detailed statement of how your expertise can contribute to the success of LSB to Ronald Germain, M.D., Ph.D., Chief, LSB, DIR, NIAID at rgermain@niaid.nih.gov or 10 Center Drive, MSC 1892, Building 10, Room 11N311, Bethesda, MD 20892‐1892. Email is preferred. In addition, three letters of reference must be sent directly from the referee to the same address. 

     

    Additional information about the LSB is available online at www.niaid.nih.gov/labsandresources/labs/aboutlabs/lsb.

     

    More information about DIR is available at www.niaid.nih.gov/about/organization/dir, and information on working at NIAID at www.niaid.nih.gov/about/working. 

     

    For more information about the NIAID systems biology program, visit irp.nih.gov/catalyst/v19i6/systems‐biology‐as‐defined‐by‐nih.