Postdoctoral Associate in Meta-Research UEIS

Are you a recent Ph.D. graduate in a STEM or social science discipline interested in a career path in meta-research knowledge synthesis open science and/or improving the quality and rigor of research Join the team of Evidence Synthesis specialists and the Open Science Program at Carnegie Mellon University Libraries where we are working to investigate and promote open science principles within evidence synthesis and meta-research methods as well as computational approaches to improving the efficiency transparency reproducibility and accessibility of research across disciplines.

The Postdoctoral Associate in Meta-Research should be technically and computationally skilled have a strong understanding of academic research and the research ecosystem and be passionate about building an open and collaborative research community. The successful candidate will develop a research and teaching agenda related to meta-research evidence synthesis open science and research improvement using open source tools and technologies. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching and community-building activities.

Meta-research is the study of how research is conducted communicated evaluated and synthesized with the goal of improving the quality transparency efficiency and impact of research. One emerging area within meta-research is open synthesis which combines open science principles with evidence synthesis methods such as systematic reviews scoping reviews and evidence and gap maps. With the exponential growth of scholarly publishing increasing demand for evidence-informed decision making and rapid advances in artificial intelligence and large language models there is a growing need to investigate questions at the intersection of meta-research open science and evidence synthesis. This includes research and capacity-building efforts related to:

• Improving the openness accessibility and interoperability of scholarly information and bibliographic metadata;

• Developing and evaluating open source software AI tools and computational workflows that support evidence synthesis and other forms of meta-research;

• Advancing transparency reproducibility and reporting standards for research and evidence synthesis;

• Developing living evidence syntheses and workflows for keeping research knowledge current using open bibliographic data and automated methods.

Carnegie Mellon University is well-poised to advance meta-research with one of the first library-based Open Science programs an Open Source Programs Office one of the leading Computer Science programs in the world and a unique Evidence Synthesis Program with deep faculty-librarian collaborations across the university. The Postdoctoral Associate in Meta-Research will work across these departments and units to develop a variety of research and training initiatives.

Core responsibilities will include:

Under the supervision of the Director of the Evidence Synthesis Program the successful candidate will:

• Conduct collaborative research in meta-research including topics such as: transparency and reproducibility in evidence synthesis; computational methods for literature discovery study selection and data extraction; evaluation of AI and open source tools that support meta-research workflows; living evidence synthesis methods; and/or bibliographic infrastructure;

• Teach workshops and develop curriculum on topics such as using large language models for evidence synthesis using open source software to manage and conduct literature review and/or the ethical and appropriate use of scholarly information in meta-research;

• Serve on organizing and programming committees of open science and evidence synthesis events hosted by the Libraries including the annual Open Science Symposium and an inaugural meta-research hackathon to be held in Spring 2027;

• Assist in the outreach efforts of the Libraries Evidence Synthesis Program including the support of research tools such as Sysrev and OpenAlex;

• Contribute to international research communities such as Metascience FORCE11 or ESMARConf with poster presentations or talks on open synthesis and meta-research.

Adaptability excellence and passion are vital qualities within the UEIS. 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:

• Strong track record in academic research in a discipline that is well established at CMU (relevant research experience in industry or government also considered);

• Demonstrated record of teaching excellence in academic settings including hands-on training or training others in computational skills. Interest in refining teaching skills and curriculum development;

• Experience conducting research on at least one of the following areas: evidence synthesis methods meta-research bibliometrics reproducibility open science or scholarly communication;

• Knowledge of conduct and reporting standards for evidence synthesis (e.g. PRISMA);

• Understanding of computational reproducibility best practices;

• Familiarity with machine learning concepts and large language models. Deep expertise is not required but candidates should be comfortable engaging with these technologies at a foundational level;

• Knowledge of tools used for reproducible research such as Git/GitHub Jupyter Notebook Binder Docker Open Science Framework;

• Strong interpersonal skills with the ability to effectively interact with diverse groups including faculty students staff and administrators;

• Demonstrated ability to work independently and as part of a team;

• Excellent organizational communication and presentation skills;

• Dedication to professional development including personal research and scholarship and growth of skills;

• Interest in contributing to the global open science community.

Qualifications:

• Ph.D. in a STEM or social science discipline;

• Strong interest in building an open science community across disciplinary boundaries and advancing the quality and rigor of research and open scholarship;

• Familiarity with or interest in learning about evidence synthesis and/or bibliometrics methods;

• Experience with coding and programming in R or Python. Should be proficient enough to work independently with standard packages and troubleshoot basic issues;

• Enthusiasm for working collaboratively with library personnel on research projects instructional design and developing services.

To Apply

A successful candidate would preferably be in place as early as possible. To be considered please include your CV a cover letter and contact information for three references in your application.

We strongly encourage applications from members of groups that have been marginalized and/or underrepresented in academic librarianship and who will contribute to the breadth of our organization.

Deadline: Applications received by August 15 will be given first consideration.

Additional Information:

Sponsorship:Applicantsfor this positionmustbecurrentlylegallyauthorized to workfor CMUin the United States. CMU will notsponsor or take over the sponsorship of an employment visa for this Mellon is not a qualifying employer for the STEM OPT benefit: only the 12-month OPT may be used to work at Carnegie Mellon.

Fixed Term: This is a fixed-term position with an estimated duration of two years.

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; its 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

Salary

More Information: