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Carnegie Mellon University, Forbes Avenue, Pittsburgh, PA, USA

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"Pre-Doctoral Research Associate - Tepper School of Business"

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Pre-Doctoral Research Associate - Tepper School of Business

The Tepper School of Business lives at the heart of Carnegie Mellon University, guided by a mission to transform the world, pioneering and innovating at the intersection of business, technology, and analytics. The school offers a future-focused business school experience, tailored for the complexity of today’s marketplace. Where others see challenges, we see opportunity. Always looking ahead, we are consistently moving the world forward with innovative ideas, creative solutions, and new approaches.

We are looking for a highly skilled and motivated individual to work as a full-time pre-doctoral research associate for a period of one year. This position is ideal for those who plan to apply for a Ph.D. in finance, economics or related fields. It offers the opportunity to gain exposure to and training in all stages of the research process. The start date is negotiable. Your work will be supervised by Carnegie Mellon University Professor Matthew Denes.

Core responsibilities will include:

  • Obtain and manipulate data from various sources
  • Construct and analyze data using statistical software packages
  • Assist with the production of working papers and publications
  • 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.

You should demonstrate:

  • Be able to work independently to solve problems
  • Ability to work with statistics software, such as Stata
  • Familiarity with programming languages, such as Python

Qualifications:

  • Bachelor’s degree in finance, economics, statistics, computer science, mathematics or related field required
  • 0-1 year of research experience required
  • A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.

Additional Information:

Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship of an employment visa for this opportunity. Carnegie Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.

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: Pre/Post-Doctoral Associates & Fellows

Position Type: Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time: Full time

Pay Basis: Hourly

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