Are you a recent Ph.D. graduate in STEM or social sciences interested in a career path in open science, science communication, or science policy? Join the team of the Open Science & Data Collaborations program at Carnegie Mellon University Libraries to help make a cultural shift towards a more open, reproducible, and collaborative research landscape.

The Postdoctoral Associate in Open Science should be technically-skilled, have a strong understanding of academic research and research data ecosystem, be passionate about building an open and collaborative research community, and committed to develop a research and teaching agenda on topics of open science and open data. This is a fixed term 2-year position with 50% of time devoted to research and 50% to teaching and community-building activities.

Job Description

Under the supervision of the Director for Open Science & Data Collaborations Program, the successful candidate will:

• Conduct collaborative research on topics of open science and open data, such as developing open science assessment metrics, developing tools and methods that help to enhance research transparency and reproducibility, understanding open science and data reuse needs and practices in different research communities;
• Teach lessons and workshops such as data processing and analysis using R or Python, tools and best practices for data management, computational best practices for open and reproducible research. Develop teaching materials that include interactive activities and hands-on examples;
• Have the opportunity to be become a certified Carpentries instructor;
• Serve on organizing and programming committees of open science events hosted by the program, including the annual Open Science Symposium ;
• Serve as a consultant for our data and coding consultation service ;
• Assist in the outreach effort of the program and support of research tools such as Open Science Framework, LabArchives, FigShare, Overleaf, Jupyter Notebook, R, Python, and GitHub;
• Contribute to international research communities with poster presentations or talks on open science research.

What We Require

• Ph.D. in a science, technology, engineering, or social sciences discipline;
• Strong interest in building an open science community across disciplinary boundaries and advancing open scholarship and reproducible research;
• Enthusiasm for working collaboratively with library personnel on research projects, instructional design, and developing services.

What We Would Like You To Have

• 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 managing, analyzing, or working with complex research data;
• Understanding of computational reproducibility best practices;
• Experience with one or more programming languages commonly used in research such as R or Python, at or above the Carpentries level;
• Understanding 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.

What We Can offer

• Professional development and travel funds are available.
• Hybrid work modality with 1-2 days per week from home.
• Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.
• Click here to view a listing of employee benefits
• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
• Statement of Assurance

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. This position requires a background check.

Flexibility, excellence, and passion are vital qualities within the CMU Libraries. Inclusion, collaboration, and cultural sensitivity are valued competencies at CMU. Therefore, we are searching for a team member who can effectively interact with a diverse 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.

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, 2023 will be given first consideration.

Additional information about Open Science & Data Collaborations can be found here: Open Science & Data Collaborations | CMU Libraries

CMU’s COVID-19 Vaccination Requirements: As a condition of employment, Carnegie Mellon University requires all staff and faculty working in the United States to be fully vaccinated, including a booster when eligible, against COVID-19. Prior to commencement of employment, new hires in the United States must provide proof of vaccination or obtain an approved exemption. (Exemptions may be requested for medical reasons or for religious or strong moral or ethical conviction.) Staff and faculty must comply with all applicable COVID-19 mitigation requirements. Please see Minimum Requirements to Return to Campus for details regarding the university’s current COVID-19 mitigation requirements.

Location

Job Function

Position Type

Full Time/Part time

Pay Basis

More Information: 

• Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world. 

• Click here to view a listing of employee benefits

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

• Statement of Assurance