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Harvard University Research Applications Developer in Cambridge, Massachusetts

53682BRAuto req ID:53682BRJob Code:383057 IT Specialist Location:USA - MA - Cambridge Business Title:Research Applications DeveloperSub-Unit:------------ Salary Grade ( :057Time Status:Full-time Union:00 - Non Union, Exempt or Temporary Basic Qualifications:

  • A minimum of a bachelor's degree in computer science and a minimum of 2 years' experience in web/command line application development and design required.

  • Experience with Python command line and web application development (e.g. (Django / Flask, MySQL, and Javascript)) in a Linux environment is needed.

Additional Qualifications and Skills:

  • Previous experience in building web-based systems in a laboratory or research environment is strongly preferred.

  • Familiarity with container solutions and VueJS / Vuetify is ideal.

  • Must be customer oriented, have strong communication skills - both verbal and written; especially with respect to relaying complex computation information to others.

  • Ability to interact well with a broad constituency including students, postdoctoral fellows, faculty, and research staff.

Additional Information:

  • During the current period of COVID-19 related restrictions, this position may start as a remote position, with transition to working onsite in Cambridge, Massachusetts when our campus reopens.

  • We regret that Harvard does not provide work authorization and/or visa sponsorship for this position.

  • We invite individuals with diverse backgrounds, experiences and abilities to be a part of our community.

  • All formal offers will be made by FAS Human Resources.

Department:FAS InformaticsPre-Employment Screening:Education, IdentitySchedule:Monday - Friday, 9:00 am - 5:00 pmJob Function:Information Technology Job-Specific Responsibilities:

Join the FAS Informatics Software Operations team as a research applications developer and you will:

  • Work closely with other members of the FAS Bioinformatics and Research Computing teams to enable high-throughput data analysis for faculty research.

  • Work with scientists, facility administrators, and financial staff to gather application requirements and troubleshoot process and software issues in support of a variety of internal efforts like the Center for Nanoscale Systems NNIN project and the Bauer Sequencing Core's 10X sequencing .

  • Participate in the ongoing improvement of the software development environment, including development of CI / CD pipelines and test code.

  • Develop and deploy in-house and 3rd party applications to the 60,000 core Odyssey compute cluster and Open Nebula cloud.

  • Contribute to end user documentation and training.

  • Contribute to general software training efforts for the Harvard community.

We are committed to cultivating not only the diversity of our faculty, staff, and students but also in developing an inclusive culture ( that is vibrant, engaging and encouraging of innovation as well as intellectual debate. We believe creating and maintaining an inclusive workplace allows employees from all backgrounds and walks of life to achieve their fullest potential. We also believe an inclusive culture is one that accepts, values and views as strength the difference we all bring to the workplace.

School/Unit:Faculty of Arts and Sciences EEO Statement:We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law.Job Summary:

Scientists in the Faculty of Arts and Sciences (FAS) at Harvard conduct break-through research using the most advanced methods and instrumentation in single-cell sequencing, nanofabrication, neuroimaging, transcriptomics, and astrophysics. FAS Informatics provides a critical interface between this cutting-edge science and modern technology infrastructure like parallel compute systems, petabyte-scale distributed storage, deep-learning tools, and container services hosted in FAS Research Computing's massive compute infrastructure.