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 insurance

as 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:

• Please visit “

  Why Carnegie Mellon

  ” to learn more about becoming part of an institution inspiring innovations that change the world.

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.