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Position: Bioinformatics Scientist - Developmental Biology
Washington University in St. Louis
, St. Louis , Missouri United States
Duties: Algorithms and computer software for omics-based data sets (high-throughput, massively parallel genomic/proteomic/clinical.); Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets; Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data
Requirements: Master’s degree or Ph.D. in computer science or related field highly preferred; Experience in the application of genomics data analysis, as well as the development of bioinformatics pipelines to deal with the analyses and interpretation of large omics data; Experience in single cell omics data analysis and machine learning; Analytical, reasoning, and problem-solving skills; Good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics
Text: Skip to main content WashU Jobs WashU Jobs page is loaded Bioinformatics Scientist - Developmental Biology Washington University Medical Campus Apply Scheduled Hours 40 Position Summary A bioinformatician position is available in the Bioinformatics Research Core (BRC) in the Center of Regenerative Medicine. We are seeking a talented, self-motivated Bioinformatics Scientist with background in developing data processing pipelines and omics data analysis to support our collaborative research work conducted with numerous faculty in the Center of Regenerative Medicine and across Washington University. This individual will apply computational techniques in analyzing large-scale genomics/epigenomic data, create data-driven models and data visualizations, write and prepare manuscripts and other materials for internal and external audiences, and assist in grant applications. The successful candidate will join an internationally competitive scientific environment and is expected to work closely with colleagues in the Center of Regenerative Medicine and other departments at Washington University. Job Description Primary Duties and Responsibilities Designs, develops, and implements: Algorithms and computer software for omics-based data sets [high-throughput, massively parallel genomic/proteomic/clinical.]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including design of research protocols and development of procedures for the collection, verification, and management of data. Performs complex systems analysis of data and writes interpretative reports. Evaluates commercial and academic bioinformatics software. Trains other researchers on the everyday use of analysis software and research databases. Assists with grant preparation and reporting of methods, data, and results. Solves practical problems relating to difficulties with equipment or test subjects; suggests technical or procedural improvements in testing methods. Preferred Qualifications Master’s degree or Ph.D. in computer science or related field highly preferred. Experience in the application of genomics data analysis, as well as the development of bioinformatics pipelines to deal with the analyses and interpretation of large omics data. Experience in single cell omics data analysis and machine learning. 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 genome 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. Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment. Required Qualifications Bachelor’s degree in computer science, bioinformatics, biostatistics, or related field plus four years of experience; OR master’s degree in computer science, bioinformatics, biostatistics, or related field plus two years of experience; OR combined education and experience of nine years. Grade R11 Salary Range $51,400.00 - $93,400.00 / Annually The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget. Pre-Employment Screening All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at https://hr.wustl.edu/benefits/ to view a summary of benefits. EEO/AA Statement Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply. Diversity Statement Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment - fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply. Applicant Instructions When you are ready to apply, creating an account only takes a minute. Your account creates a candidate home page which we will use to communicate with you and allows you to apply for jobs and view your application statuses. The first page of the application offers two “Quick Apply” options. Quick Apply allows you to either use a previous application or create a new application using a resume to populate the work experience and education sections of your job application. If using a resume to populate your application, check to ensure the application fields populated accurately. You may skip the “Quick Apply” page by clicking “Next” at the bottom of the page. Documents may be uploaded in the My Experience section of the application. You also have the option to apply with a Linkedin feature, which allows you to apply by using your Linkedin profile to populate some of the job application fields. Apply Posted 30+ Days Ago Full time JR61200 About Us Washington University's collective success is greatly attributed to the passion and outstanding efforts of our community. Our faculty and staff are committed to excellence and dedicated to carrying out our missions of research, teaching and patient care. WashU prides itself on being a place where people matter and serious work is done. Our people work together in an inclusive community that celebrates diverse perspectives, collaboration and innovation. We are a community of individuals inspired to work together to develop big ideas and tackle challenging problems. We value the well-being of our people. Washington University strives to create a positive employee experience where faculty and staff thrive, both personally and professionally. Our faculty and staff find meaning, connection and vitality in their work and life with a healthy work-life balance and support to learn, grow and make an impact at WashU, the community and the world Useful Links Who We Are Human Resources Benefits Living in St. Louis Frequently Asked Questions Accommodation If you are unable to use our online application process due to an impairment or disability, please contact a Talent Acquisition Coordinator at 314.362.4920 with the nature of your accommodation request. Regulatory Postings EEO is the Law Poster and Supplement Pay Transparency Policy Statement Similar Jobs Follow Us © 2022 Workday, Inc. All rights reserved.
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