Senior Research Data Facilitator

Location: West Lafayette, Indiana
Application Deadline: Open Until Filled
Published: 4 days ago

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As the Senior Research Data Facilitator, you will support and advise researchers and core facility leaders in the best use of a broad set of state-of-the-art cyberinfrastructure (CI) systems, tools, and software to support complex data and computing pipelines,  and enable research collaboration and data sharing throughout research data lifecycle.

You will partner with researchers to co-create and co-learn research activities and relevant advanced computing and data workflow capabilities both locally and nationally. You will utilize creativity and innovation to analyze a wide range of  research data workflow problems encountered by researchers and determine strategies to facilitate cutting-edge research.

You will design, build, test, debug, optimize, and maintain complex data pipelines and provide documentation. You will work collaboratively with other staff, ‎campus researchers, national partners and vendors to implement novel computing and data movement technologies that enable and/or improve computational research and data management.

You will engage in cross-institutional partnership with campus partners, including research data librarians, scientific cores, sponsored programs services, and other departmental data services to shape research data management broadly. You will collaborate with other staff to provide regular training workshops to researchers to help them use computational tools. You will participate in national computing activities by attending workshops, conferences, and potentially presenting research.

This position offers the chance to contribute to Purdue’s mission while working on our beautiful West Lafayette campus in Indiana. Together, we’ll tackle today’s toughest technology challenges and pave the way for tomorrow’s innovations.

About Us:

At Purdue University, we’re on a persistent pursuit of innovation together. For over 150 years, we’ve been known for our groundbreaking work in STEM and our collective imagination, ingenuity, and drive to keep moving forward. The Rosen Center for Advanced Computing exemplifies this spirit, providing cutting-edge computational resources and expertise to support world-class research across disciplines.

We’re committed to fostering a diverse, equitable, and inclusive environment where individuals from all backgrounds can thrive and contribute to our mission of advancing scientific discovery. When you join our team, you become part of a community dedicated to pushing the boundaries of knowledge and making a lasting impact on the world.

What We’re Looking For:

Education and Experience Needed:

  • Bachelor’s degree in a quantitative field
  • At least four (4) years of experience supporting data or computing workflows
  • At least two (2) years of total experience working with researchers or research groups
  • An equivalent combination of education and/or experience will be accepted

Skills Needed:

  • Ability to work:
    • as part of a high performing team in a collaborative environment
    • positively in an inclusive and diverse environment
  • Knowledge of Linux operating system and version control software, i.e. GIT
  • Good verbal and written English communication skills including the ability to ‎consult with researchers
  • Demonstrated:
    • project management and prioritization skills with the ability to plan, organize and prioritize tasks, and complete projects with minimal supervision
    • skills in self-motivation, analytical, and problem-solving skill
    • ability to collaborate with researchers

Preferred:  

  • PhD degree in quantitative field
  • Demonstrated ability to effectively mentor students
  • Ability to effectively make presentations and develop and present training material ‎
  • Experience with API or a scripting/programming language (Python, bash, AWK, Perl, etc.)
  • Knowledge of Globus or other open-source tools and protocols
  • Experience in analyzing and optimizing performance of scientific applications and data transfers

Additional Information:

  • Purdue University will not sponsor employment authorization for this position
  • A background check will be required for employment in this position
  • FLSA: Exempt (Not Eligible for Overtime)
  • Retirement Eligibility:  Defined Contribution Waiting Period
  • Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days

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