Associate Data Analyst/Curator

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Pittsburgh Supercomputing Center (PSC) architects, deploys, and operates world-class, high-performance computational resources. Building on its roots within both Carnegie Mellon and the University of Pittsburgh, PSC enables national and international researchers to make use of innovative technologies in addition to a robust array of local and regional collaborators.

Carnegie Mellon University’s Pittsburgh Supercomputing Center is searching for an Associate Data Analyst/Curator. This is an excellent opportunity for someone who thrives in an interesting and challenging work environment. You will contribute to the department by providing critical support by curating the data deposited in Data Archives run by the PSC.  The Associate Data Analyst/Curator is accountable for collecting and curating data and metadata for scientific data repositories, ensuring that the data and metadata comply with repository standards.

Core Responsibilities:

• Assisting with the curation the data deposited under supervision.
• Interacting with data depositors and users
• Participating with efforts developing community data and metadata standards.
• Participating, representing, and advocating for project interests in relevant community working groups and standardization efforts.
• Assisting with the integration and addition of annotation data to existing data held by the data repository.
• Assisting the work with relevant repositories with efforts to facilitate exchange and reuse of data.
• Supporting improvement efforts ensuring that the data held is increasingly FAIR and AI ready.
• Providing help-desk support and creating relevant documentation. 
• Other duties as assigned.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University.  We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

In addition, candidates must be able to:

• Work well with others as part of a team
• Work with sensitive information, maintain confidentiality and use discretion.
• Pay close attention to detail, keep and maintain accurate and detailed reports and records.
• Maintain composure when dealing with difficult situations and individuals.
• Meet deadlines, work under pressure and with frequent interruptions.
• Understand and follow directions.
• Prioritize work and handle multiple tasks simultaneously.

Qualifications:

• Degree in Biology, Medicine, Information/Library Science, Biomedical Informatics, Data Science, Computer Science, or related field.
• 1 -3 years of relevant experience in information technology, data science, healthcare, business, or research field.
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Preferred Skills and Experience:

• Familiarity with genomics, bioinformatics, and/or imaging assays.
• Experience with programming languages used in data science (such as Python or R)
• Experience managing/preparing data sets for use in analysis and/or modeling.
• Familiarity with commonly used biomedical ontologies.

Requirements:

• Successful background check

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insuranceas well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance. 

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!

For a comprehensive overview of the benefits available, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Pittsburgh, PA

Job Function

Data Analysis

Position Type

Staff – Regular

Full Time/Part time

Full time

Pay Basis

Salary

More Information: